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Analyzing age of information in multiaccess networks with time-varying channels: A fluid limits approach J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Feng Yuan, Zeyu Hu, Zhiyuan Jiang
In this paper, we adopt the fluid limits approach to analyze the age of information (AoI) in a wireless multi-access network where users share the channel and transmissions are unreliable. We prove the convergence of the AoI occupancy measure to the fluid limit, represented by a partial differential equation (PDE). Furthermore, we demonstrate the global convergence to the equilibrium of the PDE, i
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Traffic engineering and QoS/QoE supporting techniques for emerging service-oriented software-defined network J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Mykola Beshley, Natalia Kryvinska, Halyna Beshley, Oleksiy Panchenko, Mykhailo Medvetskyi
The future integration of software-defined network (SDN) with the service-oriented architecture (SOA) paradigm requires new solutions to ensure the quality of service (QoS) according to the users' requirements. The paper presents a user experience-centric approach to traffic engineering and QoS/quality of experience (QoE) support for service-oriented software-defined network (SOSDN) architecture. This
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A popularity-based caching strategy for improved efficiency in SVRF-based multicast control-planes J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Ruisi Wu, Wen-Kang Jia
The packet forwarding engine (PFE), a vital component of high-performance switches and routers, plays a pivotal role in rapidly selecting the appropriate output port for tens of thousands of packets. The performance of the PFE hinges on the efficacy of the group membership algorithm. In this research, we present a hybrid approach called caching scalar-pair and vectors routing and forwarding (CSVRF)
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Statistical analysis of cascaded Nakagami-m fading channels with generalized correlation J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Ibrahim Ghareeb, Osama Al-Shalali
This paper studies the statistical analysis of cascaded Nakagami-m fading channels that are arbitrarily correlated and not necessarily identically distributed. The probability density function (PDF), cumulative distribution function (CDF), and the nth moment for the product of N correlated Nakagami-m random variables (RVs) are derived and presented in exact form expressions using the Meijer's G function
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An efficient application based many-to-many resource allocation and sharing with power optimization for D2D communication — A clustered approach J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Raghu Thekke Veedu, Kiran Manjappa
This study aims to give an edge to public safety applications over commercial applications in an underlay cellular-assisted device-to-device (D2D) communication. The proposed framework introduces two frameworks: Cluster-based many-to-many resource allocation and resource sharing framework (CMMRARS) and constant time power control algorithm (CTPCA). The RB assigned to a CUE can share with multiple DUE
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Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Love Allen Chijioke Ahakonye, Gabriel Chukwunonso Amaizu, Cosmas Ifeanyi Nwakanma, Jae Min Lee, Dong-Seong Kim
The domain name system (DNS) has evolved into an essential component of network communications, as well as a critical component of critical industrial systems (CIS) and Supervisory Control and Data Acquisition (SCADA) network connection. DNS over HTTPS (DoH) encapsulating DNS within hypertext transfer protocol secure (HTTPS) does not eliminate network access exploitation. This paper proposes a hybrid
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NetLabeller: Architecture with data extraction and labelling framework for beyond 5G networks J. Commun. Netw. (IF 3.6) Pub Date : 2024-03-04 Jimena Andrade-Hoz, Jose M. Alcaraz-Calero, Qi Wang
The next generation of network capabilities coupled with artificial intelligence (AI) can provide innovative solutions for network control and self-optimisation. Network control demands a detailed knowledge of the network components to enforce the correct control rules. To this end, an immense number of metrics related to devices, flows, network rules, etc. can be used to describe the state of the
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Efficient detectors for uplink massive MIMO systems J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-29 Mahmoud A. Albreem, Saeed Abdallah, Khawla A. Alnajjar, Mahmoud Aldababsa
Massive multiple-input multiple-output (MIMO) is one of the essential technologies in beyond fifth generation (B5G) communication systems due to its impact in attaining high power efficiency and spectrum efficiency. The design of low-complexity detectors for massive MIMO continues to attract significant research and industry attention due to the critical need to find the right balance between performance
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IBN@Cloud: An intent-based cloud and overlay network orchestration system J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-29 Mir Muhammad Suleman Sarwar, Afaq Muhammad, Wang-Cheol Song
This paper presents an intent-based networking (IBN) system for the orchestration of OpenStack-based clouds and overlay networks between multiple clouds. Clouds need to communicate with other clouds for various reasons such as reducing latency and overcoming single points of failure. An overlay network provides connectivity between multiple Clouds for communication. Moreover, there can be several paths
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EE-TLT: Energy-efficient routing protocol using two-level tree-based clustering in wireless sensor network J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Nguyen Duy Tan, Van-Hau Nguyen
When designing routing protocols for wireless sensor networks, the principal challenge is to prolong the network's lifespan by effectively using the limited battery energy of the sensor nodes. To address this issue, we propose an energy-efficient routing protocol employing a two-level tree-based clustering (called EE-TLT) approach to stabilize and efficiently use the sensor node's energy. In EE-TLT
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Joint optimization of time-slot allocation and traffic steering for large-scale deterministic networks J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Wenhao Wu, Xiaoning Zhang, Jiaming Pan, Yihui Zhou
Recently, time-sensitive services have expanded from traditional industrial control systems to more scenarios. Some time-sensitive applications, such as remote surgery, autonomous driving, augmented reality (AR), etc., require deterministic end-to-end delay and jitter in data transmission. deterministic network (DetNet) is proposed as a promising technology for providing deterministic service in wide
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2023 Index: Journal of communications and networks, volume 25 J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09
This index covers all papers that appeared in JCN during 2023. The Author Index contains the primary entry for each item, listed under the first author's name, and cross-references from all coauthors. The Title Index contains paper titles for each Division in the alphabetical order from No. 1 to No. 6. Please refer to the primary entry in the Author Index for the exact title, coauthors, and comments
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Capacity analysis of index modulation multiple access system J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Raed Mesleh, Nareeman Jibreel, Abdelhamid Younis
Employing cutting-edge non-orthogonal multiple access (NOMA) techniques, index modulation multiple access (IMMA)introduces an efficient methodology. By leveraging index modulation (IM), IMMA facilitates concurrent data transmission among multiple users. It enhances this process by incorporating an additional constellation diagram that conveys extra information bits per channel utilization. In this
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On collaborative multi-UAV trajectory planning for data collection J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Shahnila Rahim, Limei Peng, Shihyu Chang, Pin-Han Ho
This paper investigates the scenario of the Internet of things (IoT) data collection via multiple unmanned aerial vehicles (UAVs), where a novel collaborative multi-agent trajectory planning and data collection (CMA-TD) algorithm is introduced for online obtaining the trajectories of the multiple UAVs without any prior knowledge of the sensor locations. We first provide two integer linear programs
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AUB: A full-duplex MAC protocol for the efficient utilization of the idle uplink period in WLAN J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Hyeongtae Ahn, Harim Lee, Young Deok Park
Recently, full-duplex radio has attracted attention as a solution for wireless local area networks (WLANs) where traffic is exploding but available frequency bands are insufficient. Full-duplex radio exploits various self-interference cancellation technologies to transmit and receive signals concurrently in the same frequency band. Thus, the efficiency of the frequency band is doubled compared with
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Overview of various methods for decoding and constructing critical sets of polar codes J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Ilya Timokhin, Fedor Ivanov
Polar codes have gained significant attention in recent years as they offer a promising solution for reliable communication in the presence of channel noise. However, decoding these codes remains a critical challenge, particularly for practical implementations. Traditional decoding methods such as belief propagation and successive cancellation suffer from complexity and performance issues. To address
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An energy-optimization topology control for three-dimensional wireless sensor networks J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Mason Thammawichai, Thiansiri Luangwilai
Energy optimization routing protocol is considered an essential problem in wireless sensor networks (WSNs) as it can affect the network lifetime. Most of the existing routing algorithms are designed for two-dimensional networks, which cannot be transferred to three-dimensional WSNs. Due to a lack of knowledge about the third dimension, 2D routing algorithms perform badly in a real-life 3D environment
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Predictive path routing algorithm for low-latency traffic in NFV-based experimental testbed J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Juncal Uriol, Juan Felipe Mogollón, Mikel Serón, Roberto Viola, Ángel Martín, Mikel Zorrilla, Jon Montalbán
The growth of network traffic and the rise of new network applications having heterogeneous requirements are stressing the telecommunication infrastructure and pushing network management to undergo profound changes. Network management is becoming a core research area to push the network and its performance to the limits, as it aims at applying dynamic changes across the network nodes to fit the requirements
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No battery, no problem: Challenges and opportunities in batteryless intermittent networks J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Shen Fu, Vishak Narayanan, Mathew L. Wymore, Vishal Deep, Henry Duwe, Daji Qiao
The emergence of the Internet of things (IoT) brings a new paradigm of ubiquitous sensing and computing. Yet as an increasing number of wireless IoT devices are deployed, powering them with batteries becomes expensive and unsustainable. Batteryless systems harvesting energy from the ambient environment offer a promising solution to this problem. However, due to the unpredictability of the ambient energy
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Understanding the impact of packet size on the energy efficiency of LoRaWAN J. Commun. Netw. (IF 3.6) Pub Date : 2024-01-09 Lluís Casals, Carles Gomez, Rafael Vidal
LoRaWAN has become a flagship LPWAN technology, and one of the main connectivity alternatives for IoT devices. Since LoRaWAN was designed for low energy consumption, it is fundamental to understand its energy performance. In this paper, we study the impact of packet size on LoRaWAN device energy consumption per delivered data bit (EPB). By means of extensive simulations, we show that, when network
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Age of information games between power constrained schedulers and adversaries J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Subhankar Banerjee, Sennur Ulukus, Anthony Ephremides
We consider a time slotted communication network consisting of a base station (BS), an adversary, Ν users and N s communication channels. In the first part of the paper, we consider the setting where N s communication channels N s are heterogeneously divided among Ν users. The BS transmits an update to the ¿th user on a subset of the communication channels N s,i where N s,i ∩ N s,j is not necessarily
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Fresh-CSMA: A distributed protocol for minimizing age of information J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Vishrant Tripathi, Nicholas Jones, Eytan Modiano
We consider the design of distributed scheduling algorithms that minimize age of information (AoI) in single-hop wireless networks. The centralized max-weight policy is known to be nearly optimal in this setting; hence, our goal is to design a distributed carrier sense multiple access (CSMA) scheme that can mimic its performance. To that end, we propose a distributed protocol called Fresh-CSMA and
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Age-optimal multi-flow status updating with errors: A sample-path approach J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Yin Sun, Sastry Kompella
In this paper, we study an age of information minimization problem in continuous-time and discrete-time status updating systems that involve multiple packet flows, multiple servers, and transmission errors. Four scheduling policies are proposed. We develop a unifying sample-path approach and use it to show that, when the packet generation and arrival times are synchronized across the flows, the proposed
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AoI analysis and optimization in systems with computations-intensive updates J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Saeid Sadeghi Vilni, Mohammad Moltafet, Markus Leinonen, Marian Codreanu
We consider a status update system consisting of a sampler, a controller, a processing unit, a transmitter, and a sink. The sampler generates a sample upon receiving a request from the controller and the sample requires further processing before transmission, hence is computation-intensive. This is mathematically modeled by a server called process server. After processing the sample, the status update
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Fresh multiple access: A unified framework based on large models and mean-field approximations J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Haiming Hui, Shuqi Wei, Wei Chen
Information freshness has attracted increasingly attention in the past decade as it plays a critical role in the emerging real-time applications. Age of information (Aol) holds the promise of effectively characterizing the information freshness, hence widely considered as a fundamental performance metric. However, in multiple-device scenarios, most existing works focus on the analysis and optimization
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Timely and covert communications under deep learning-based eavesdropping and jamming effects J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Maice Costa, Yalin E. Sagduyu
This paper explores the concept of timeliness in covert communications when faced with eavesdropping and jamming. Time-sensitive information is to be transmitted through a wireless channel between a transmitter and a receiver, while an adversary seeks to detect the communication attempts with a deep learning-based classifier (using feedforward or convolutional neural networks). The adversary jams any
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On the age of information of processor sharing systems J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Benat Gandarias, Josu Doncel, Mohamad Assaad
In this paper, we examine the age of information (AoI) of a source sending status updates to a monitor through a queue operating under the processor sharing (PS) discipline. In the PS queueing discipline, all the updates are served simultaneously and, therefore, none of of the jobs wait in the queue to get service. While AoI has been well studied for various queuing models and policies, less attention
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State-aware real-time tracking and remote reconstruction of a Markov source J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Mehrdad Salimnejad, Marios Kountouris, Nikolaos Pappas
The problem of real-time remote tracking and reconstruction of a two-state Markov process is considered here. A transmitter sends samples from an observed information source to a remote monitor over an unreliable wireless channel. The receiver, in turn, performs an action according to the state of the reconstructed source. We propose a state-aware randomized stationary sampling and transmission policy
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Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process through a channel for remote estimation. The goal is to minimize the mean square error (MSE) at the estimator under a sampling frequency constraint when the channel delay statistics is unknown. Sampling for MSE minimization is reformulated into an optimal stopping problem. By revisiting the threshold structure of the optimal stopping
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Control-aware scheduling over multi-hop networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Polina Kutsevol, Onur Ayan, Wolfgang Kellerer
With the proliferation of wireless networks as an indispensable component for a wide range of distributed Cyber-Physical Systems applications, the paradigm of the networking algorithms design independent from application goals abolishes. Thus, the control-aware design of the wireless resource management for wireless networked control systems (WNCSs) is shown to be more effective from the application
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Special issue "a Festschrift in Honor of Prof. Anthony Ephremides' 80th birthday: A journey from age of information to semantics of information" J. Commun. Netw. (IF 3.6) Pub Date : 2023-11-20 Nikolaos Pappas, Yin Sun
Age of Information (AoI) is an end-to-end metric that can capture one semantic property known as the timeliness of information, which is essential in status-updating systems. Semantics of Information (SoI) captures properties of information that relate to the "goal" and "purpose" of information, which is to improve the performance of systems using the information. As a new paradigm shift toward 6G
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GaMiCO: Game-slicing based multi-interface computation offloading in 5G vehicular networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-09-14 Suhwan Jung, Hyoil Kim, Xinyu Zhang, Sujit Dey
Smart vehicles require constantly running heavy vehicular computations with their limited computation/energy resources. 5G vehicular networks have potential to resolve the issue, by letting the vehicular tasks offloaded to 5G mobile edge computing (MEC) servers. To better support vehicular computation offloading, this paper proposes a road-side 5G infrastructure consisting of multiple millimeter-wave
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Efficient end-to-end failure probing matrix construction in data center networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-09-14 Zequn Jia, Qiang Liu, Ying He, Qianqian Wu, Ren Ping Liu, Yantao Sun
Data centers play an essential role in the functioning of modern society. However, failures are unavoidable in data center networks (DCN) and will lead to negative impact on all applications. Therefore, researchers are interested in the rapid detection and localization of failures in DCNs. In this paper, we present a theoretical model to analyze the end-to-end failure detection methods in data center
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Spectrum cartography based on dynamic compressed sensing by using multiple domains information J. Commun. Netw. (IF 3.6) Pub Date : 2023-09-14 Haiyang Xia, Song Zha, Jijun Huang, Jibin Liu, Peiguo Liu
Radio maps have experienced their success in applications of wireless communications for years by offering metrics of radio frequency (RF) information, e.g., power spectral density (PSD), within a geographical region of interest. Spectrum cartography technique constructs radio maps to expand the abilities of RF awareness. However, seldom of existing methods aim at constructing radio maps by utilizing
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The role of security orchestrator in network slicing for future networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-07-21 Shalitha Wijethilaka, Madhusanka Liyanage
The traditional paradigm of connecting mobile devices over the telecommunication networks for voice communication has evolved to a myriad of novel applications with heterogeneous network requirements. The conventional telecommunication networks require a radical change to support these applications. Network slicing (NS) is one of the utilitarian technologies in future telecommunication networks to
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Joint association and resource allocation for multi-hop integrated access and backhaul (IAB) network J. Commun. Netw. (IF 3.6) Pub Date : 2023-07-21 Byungju Lim, Ju-Hyung Lee, Jae-Hong Kwon, Ki-Hun Kim, Jong-Man Lee, Hyun Park, Young-Seok Ha, Young-Jin Han, Young-Chai Ko
Integrated access and backhaul (IAB) network is envisioned as a novel network architecture for increasing the network capacity and coverage. To facilitate the IAB network, the appropriate methods of wireless link association and resource management are required. In this paper, we investigate the joint optimization problem of association and resource allocation in terms of subchannel and power for IAB
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A novel group management scheme of clustered federated learning for mobile traffic prediction in mobile edge computing systems J. Commun. Netw. (IF 3.6) Pub Date : 2023-07-21 Faranaksadat Solat, Tae Yeon Kim, Joohyung Lee
This study developed a novel group management scheme based on clustered federated learning (FL) for mobile traffic prediction (referred to as FedGM) in mobile edge computing (MEC) systems. In FedGM, to improve the convergence time during the FL procedure, we considered multiple MEC servers to first be clustered based on their geographic locations and augmented data patterns as references for clustering
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Aggressive and proactive LTP control signal handling for minimal session delivery time: RTT rules the world J. Commun. Netw. (IF 3.6) Pub Date : 2023-07-21 Cheol Hea Koo, Scott C. Burleigh
Several elements characterize deep space communications, including weak signal-to-noise-ratio (SNR), high bit error rate (BER), asymmetric channel bandwidth, and long propagation delay. In deep space missions, one-way light time (OWLT) is relatively much longer than in near-Earth missions. OWLT dominates data delivery completion time during a Licklider transmission protocol (LTP) transaction, making
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A generalized CNN model with automatic hyperparameter tuning for millimeter wave channel prediction J. Commun. Netw. (IF 3.6) Pub Date : 2023-06-08 Chengfang Yue, Hui Tang, Jun Yang, Li Chai
This paper focuses on millimeter wave (mmWave) channel prediction by machine learning (ML) methods. Previous ML-based mmWave channel predictors have limitations on requirements of the amount of training data, model generalization ability, robustness to noise, etc. In this paper, we propose a CNN model with a novel feature selection strategy for mmWave channel prediction. Automatic hyperparameter tuning
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Enhancing information freshness for coordinated direct and relay transmission J. Commun. Netw. (IF 3.6) Pub Date : 2023-06-08 Tse-Tin Chan, Haoyuan Pan
This paper investigates the information freshness of relay-aided status updating in coordinated direct and relay transmission (CDRT) for the first time. Information freshness is measured by age of information (AoI), defined as the time elapsed since the generation of the last successfully received update packet. In CDRT, one sensor communicates directly with the receiver while another sensor requires
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Placement of parameter server in wide area network topology for geo-distributed machine learning J. Commun. Netw. (IF 3.6) Pub Date : 2023-06-08 Yongyao Li, Chenyu Fan, Xiaoning Zhang, Yufeng Chen
Machine learning (ML) is extensively used in a wide range of real-world applications that require data all around world to pursue high accuracy of a global model. Unfortunately, it is impossible to transmit all gathered raw data to a central data center for training due to data privacy, data sovereignty and high communication cost. This brings the idea of geo-distributed machine learning (Geo-DML)
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A pluggable module for enabling a trusted edge device management system based on microservice J. Commun. Netw. (IF 3.6) Pub Date : 2023-06-08 Shih-Hsiung Lee, Jue-Zhi Liu
In the development of the intelligent Internet of things, edge computing plays a key role. Not only that it has the characteristics of a quick response, but it can also effectively reduce the burden of cloud computing. In addition, it can also extend the application of network edge through the coexistence and collaboration with the cloud system. However, with a large number of edge devices being deployed
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E2E network slice management framework for 5G multi-tenant networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-06-08 Enrique Chirivella-Perez, Pablo Salva-Garcia, Ignacio Sanchez-Navarro, Jose M. Alcaraz-Calero, Qi Wang
Network slicing is one of the cornerstone features of the fifth generation (5G) networks to enable the multiplexing of virtualised logical networks over the same physical network infrastructure for various vertical business services. Architectures based on network slicing enable network operators to offer end-to-end (E2E) vertical services whilst assuring fulfilling tailored service level agreement
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Context-aware handover skipping for train passengers in next generation wireless networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-25 Syed Muhammad Asad, Paulo Valente Klaine, Rao Naveed Bin Rais, Michael S. Mollel, Sajjad Hussain, Qammer H. Abbasi, Muhammad Ali Imran
5G spectral efficiency requirements foresee network densification as a potential solution to improve capacity and throughput to target next-generation wireless networks (NGWNs). This is achieved by shrinking the footprint of base stations (BSs), effective frequency reuse, and dynamic use of shared resources between users. However, such a deployment results in unnecessary handovers (HOs) due to the
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Low-complexity IRS beamforming based on sphere decoding and tabu search J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-25 Seraphin Kimaryo, Kyungchun Lee
The real-time reconfiguration of intelligent reflecting surface (IRS) is one of the crucial, yet challenging tasks required to exploit the benefits of IRS. In this paper, we study an IRS-aided multiple-input single-output (MISO) wireless network, where a coarsely quantized (few resolution bits) IRS is reconfigured to help the point-to-point communication between a multi-antenna access point (AP) and
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Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-25 Howon Lee, Byungju Lee, Heecheol Yang, Junghyun Kim, Seungnyun Kim, Wonjae Shin, Byonghyo Shim, H. Vincent Poor
Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with the surrounding environment in a real-time manner. To make the visions come true, the sixth generation (6G) wireless networks should be hyper-connected, implying that there are no constraints on the data rate, coverage, and
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On the maximum buffer size achieved in a class of constructions of optical priority queues J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Jay Cheng, Shin-Shiang Huang, Hsin-Hung Chou, Ming-Che Tang
The design of optical buffers is an important issue in all-optical packet switching. One of the most general types of buffering schemes is priority queues, which includes first-in first-out (FIFO) queues and last-in first-out (LIFO) queues as special cases (where the packet arrival times are used for the assignment of packet priorities). Recently, it was shown in our previous work that an optical priority
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Channel prediction based on non-uniform pilot pattern for mobile massive MIMO scenarios J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Yi Shi, Xianling Wang, Zhiyuan Jiang
Massive multiple input multiple output (MIMO) is a broadly used technique that can provide numerous gains in spectral efficiency. However, the degradation of beamforming performance due to outdated channel state information at the transmitter side (CSIT) induced by the mobility of users has been a significant problem waiting to be solved. It is reported that system performance will decrease 50 percent
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Amortized efficient zk-SNARK from linear-only RLWE encodings J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Heewon Chung, Dongwoo Kim, Jeong Han Kim, Jiseung Kim
This paper addresses a new lattice-based designated zk-SNARK having the smallest proof size in the amortized sense, from the linear-only ring learning with the error (RLWE) encodings. We first generalize a quadratic arithmetic programming (QAP) over a finite field to a ring-variant over a polynomial ring Z p [X]/(X N + 1) with a power of two N. Then, we propose a zk-SNARK over this ring with a linear-only
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Reliability enhancement for multimedia delivery in caching-assisted MmWave HetNets J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Fangfang Yin, An Wang, Yu Zhang, Danpu Liu, Libiao Jin
Explosive growth of bandwidth-intensive multimedia applications may impose a heavy traffic burden on wireless links of heterogeneous networks (HetNets), which also requires substantial energy consumption. Edge caching is emerging to reduce the service latency and relieve the huge burden on the backhaul links in HetNets. Moreover, millimeter wave (mmWave) spectrum with huge available bandwidth has been
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Energy-efficient full-duplex MAC protocol design for air-terrestrial communication J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Tae-Yoon Kim, Jin-Ki Kim, Won-Jae Lee, Soyi Jung, Jae-Hyun Kim
Wireless communication using unmanned aerial vehicles (UAVs), such as drones, is expected to be a promising solution for improving spectral efficiency in 5G wireless networks. Moreover, full-duplex (FD) has been in the spotlight as a key technology for improving network performance. In this work, we design an energy-efficient medium access control (MAC) protocol for a UAV base-station (UAV-BS) aided
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Timeliness of wireless sensor networks with random multiple access J. Commun. Netw. (IF 3.6) Pub Date : 2023-05-16 Liang Li, Yunquan Dong, Chengsheng Pan, Pingyi Fan
In this paper, we consider a wireless sensor network in which N sensor nodes deliver the observed information of interest to a remote receiver by competing for a sharing channel through the carrier sense multiple access with collision avoidance (CSMA/CA) protocol or the slotted ALOHA protocol. For this network, we evaluate the information freshness of the two random multiple access protocols using
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Full-duplex underwater acoustic communications via self-interference cancellation in space J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Yung-Ting Hsieh, Zhuoran Qi, Dario Pompili
Traditionally, underwater acoustic communications are half-duplex (HD), i.e., the hydrophones and transducers operate in non-overlapping time-slots/frequency-bands in one direction. To double the spectral efficiency into the full-duplex (FD) mode, which transmit and receive signals simultaneously, a self-interference cancellation (SIC) technique in space is introduced and deployed. Specifically, a
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Distributed totally decomposed cumulative Goppa coded-cooperative communication with optimized selection in the relay J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Daniel Kariuki Waweru, Fengfan Yang, Chunli Zhao, Lawrence Muthama Paul, Hongjun Xu
In this paper, powerful induced-cyclic totally decomposed cumulative Goppa (TDCG) codes are selected and used for coded-cooperative diversity, which can fit wireless communication applications. Two TDCG codes employed at the source and relay nodes establish the joint design of the destination channel code. In the cooperation phase, we consider an optimized relay channel code which improves the overall
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Task offloading based on edge collaboration in MEC-enabled IoV networks J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Taoyu Deng, Yueyun Chen, Guang Chen, Meijie Yang, Liping Du
Benefiting from its abundant computing resources and low computing latency, mobile edge computing (MEC) is a promising approach for enhancing the computing capacity of the 5G Internet of vehicles (IoV). Because of the high mobility, handover is frequent and inevitable in IoV networks. In this paper, we investigate an edge collaborative task offloading and splitting strategy in MEC-enabled IoV networks
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Performance analysis of dense low earth orbit satellite communication networks with stochastic geometry J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Seong Ho Chae, Hyeongyong Lim, Howon Lee, Bang Chul Jung
The low Earth orbit (LEO) satellite communication systems have drawn much attention as a promising solution for providing global wireless connectivity. This paper studies the downlink performances of LEO satellite communication systems performing a directional beamforming with a stochastic geometry. As the beamwidth of the satellite increases, the beam coverage increases but the interference from other
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The Internet of bio-nano things in blood vessels: System design and prototypes J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Changmin Lee, Bon-Hong Koo, Chan-Byoung Chae, Robert Schober
In this paper, we investigate the Internet of bionano things (IoBNT) which pertains to networks formed by molecular communications. By providing a means of communication through the ubiquitously connected blood vessels (arteries, veins, and capillaries), molecular communication-based IoBNT enables a host of new eHealth applications. For example, an organ monitoring sensor can transfer internal body
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Dynamic collaborative task offloading for delay minimization in the heterogeneous fog computing systems J. Commun. Netw. (IF 3.6) Pub Date : 2023-04-14 Hoa Tran-Dang, Dong-Seong Kim
Fog computing systems have been widely integrated in IoT-based applications to improve quality of services (QoS) such as low response service delays. This improvement is enabled by task offloading schemes, which perform task computation near the task generation sources (i.e., IoT devices) on behalf of remote cloud servers. However, reducing delay remains challenging for offloading strategies owing
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Software-defined networking enabled big data tasks scheduling: A tabu search approach J. Commun. Netw. (IF 3.6) Pub Date : 2023-03-20 Mina Soltani Siapoush, Shahram Jamali, Amin Badirzadeh
The growth of information technology along with the revolution of the industry and business has led to the generation of an enormous amount of data. This big data needs a platform beyond the traditional data possessing context that relies on some computational servers communicating through a network in its lower layer. One of the most important challenges in data processing is how to transfer the big
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Channel estimation for OFDM-based indoor broadband power line communication systems J. Commun. Netw. (IF 3.6) Pub Date : 2023-03-14 José A. Cortés, Francisco J. Cañete, Luis Díez
State-of-the-art indoor broadband power line communications (PLC) systems use orthogonal frequency division multiplexing (OFDM) signals with constellations up to 10 bits/symbol, which makes channel estimation a key aspect. This paper focuses on the initial channel estimation used in the payload, which might be further adapted by means of a decision-directed strategy. This initial estimate has to be