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Impact of relay placement in three-hop buffer-aided FSO systems: An approximate performance analysis approach Phys. Commun. (IF 1.594) Pub Date : 2021-01-16 Mirna El-Rajab; Chadi Abou-Rjeily
In this paper, we consider the problem of three-hop Free Space Optical (FSO) communications in the context of decode-and-forward (DF) buffer-aided (BA) relaying where the two relays are equipped with buffers of finite size. We adopt a Markov chain analysis for evaluating the outage probability (OP) and average packet delay (APD) of the considered serial relaying system that operates naturally in the
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Coverage probability of uplink millimeter wave cellular network with non-homogeneous interferers’ point process Phys. Commun. (IF 1.594) Pub Date : 2021-01-16 Hira Mariam; Irfan Ahmed; Muhammad Imran Aslam
In this paper, we have derived stochastic geometry based generalised mathematical expressions for the uplink signal-to-interfernce-plus-noise-ratio (SINR) coverage probability, rate coverage probability and area spectral efficiency (ASE) of millimeter wave cellular network. The locations of base stations (BSs) and the user equipments (UEs) are modeled as two independent homogeneous Poisson Point Process
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D2D-enabled resource management in secrecy-ensured 5G and beyond Heterogeneous networks Phys. Commun. (IF 1.594) Pub Date : 2021-01-14 Fauzia Irrum; Mudassar Ali; Muhammad Naeem; Alagan Anpalagan; Saad Qaisar; Farhan Qamar
Integration of Device-to-Device communication in 5G Heterogeneous networks (HetNets) promises to increase resource utilization and spectrum efficiency (SE). However, the broadcast nature of wireless communication makes it vulnerable to an eavesdropper, who can steal useful information from the transmission channel. Hence, ensuring secure communication for both cellular users (CUs) and D2D pairs is
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On the performance of FBMC-PAM systems in frequency-selective Rayleigh fading channels Phys. Commun. (IF 1.594) Pub Date : 2021-01-06 Davide Mattera; Mario Tanda; Maurice Bellanger
Filter bank multicarrier (FBMC) techniques are emerging alternatives to the widely used orthogonal frequency division multiplexing (OFDM) schemes for applications such as machine type communications or cognitive radio. Recently an FBMC scheme based on a sine prototype filter with overlapping factor K=2 termed FBMC-PAM has been introduced. It assures an interesting performance, a reduced system latency
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Automatic modulation classification using KELM with joint features of CNN and LBP Phys. Commun. (IF 1.594) Pub Date : 2020-12-24 Changbo Hou; Yuqian Li; Xiang Chen; Jing Zhang
Signal automatic modulation classification refers to modulation methods which can automatically classify and identify different communication signals. As the middle part of the signal detection and demodulation, modulation classification plays an important part in the area of military and civilian fields, such as software radio and electronic countermeasures. In recent years, modulation classification
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On secrecy analysis of UAV-enabled relaying NOMA systems Phys. Commun. (IF 1.594) Pub Date : 2020-12-31 Jiliang Zhang; Xinyu Zheng; Gaofeng Pan; Yiyuan Xie
In this paper, we analyze the secrecy outage performance for an unmanned aerial vehicle (UAV) -enabled relaying non-orthogonal multiple access (NOMA) system, in which a source transmits a superimposed signal under the NOMA protocol to two users via a UAV-enabled decode-and-forward relay in the presence of an eavesdropper. Assuming the channels experience Nakagami-m fading and both hops are wiretapped
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Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC Phys. Commun. (IF 1.594) Pub Date : 2020-12-26 Dan Wang; Hao Qin; Bin Song; Ke Xu; Xiaojiang Du; Mohsen Guizani
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses the non-orthogonal wireless resources of cellular users without a base station (BS). Meanwhile, the D2D users will generate co-channel interference to cellular users and hence affect
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Underdetermined Blind Source Separation for linear instantaneous mixing system in the non-cooperative wireless communication Phys. Commun. (IF 1.594) Pub Date : 2020-12-15 Wei Cui; Shuxu Guo; Lin Ren; Ying Yu
Under the condition of non-cooperative wireless communication, many signals always overlap in time–frequencyfield, therefore, the signal separation and reconstruction of the received mixed signals is of great significance for the subsequent information processing. A new blind separation strategy is proposed to solve the blind separation problem in non-cooperative communication under general underdetermined
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A Novel Approach for Pivot-based Sensor Fusion of Small Satellites Phys. Commun. (IF 1.594) Pub Date : 2020-12-30 Ngoc V.B. Pham; Tu N. Nguyen; Tan D. Ngo; Anh T. Truong; Giang L. Nguyen
Precise and agile pointing performance based on the fusion or combination of its on-board sensor inputs such as gyroscope and star-tracker are critical in spacecraft platform. This is very critical in keeping the accuracy of the satellite platform orientation when performing task requests from the earth control station. However, the processing speed greatly depends on the satellite attitude. Attitude
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Joint beamforming and power-splitting optimization for SWIPT-enabled MISO full-duplex two-way cooperative NOMA systems Phys. Commun. (IF 1.594) Pub Date : 2020-12-18 Zhiguo Xu; Shuai Wang; Dan Liu; Zhigang Wen
In this paper, a multiple-input single-output (MISO) full-duplex two-way cooperative non-orthogonal multiple access (NOMA) system is considered. The relay is energy-restricted and may not accomplish the information exchange between two end users. To address this problem, simultaneous wireless information and power transfer (SWIPT) is proposed, which employs power splitting (PS) at the relay to harvest
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Securing hybrid channel access cognitive radio networks with energy harvesting Phys. Commun. (IF 1.594) Pub Date : 2020-12-28 Ahmed F. Tayel; Ahmed H. Abd El-Malek; Sherif I. Rabia; Amr M. Abdelrazek
Physical layer security protects the transmitted data by trying to prevent the information from reaching the adversary. Adding artificial noise (AN) to the transmitted data helps to achieve that goal. In this paper, AN technique is used to protect the transmission of the secondary user (SU) from an eavesdropping attack in an energy harvesting cognitive radio network with hybrid channel access. At the
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Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA Phys. Commun. (IF 1.594) Pub Date : 2020-12-17 Thanh-Luan Nguyen; Dinh-Thuan Do; Constandinos X. Mavromoustakis; George Mastorakis
As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge
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Secrecy energy efficiency optimization for DF relaying IoT systems with passive eavesdropping terminal Phys. Commun. (IF 1.594) Pub Date : 2020-12-05 Kang Song; Qingran Wang; Linning Peng; Chunguo Li; Xinzhen Wu
In this paper, we investigate a cooperative Internet of Things (IoT) communication network with decode-and-forward relay nodes that can be eavesdropped, where the relay node harvests energy from the received signal power to charge its battery, which is used to retransmit the received signal to the destination. The secrecy communication of the energy harvesting Gaussian eavesdropping channel has been
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Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems Phys. Commun. (IF 1.594) Pub Date : 2020-12-16 A.J. Onumanyi; A.M. Abu-Mahfouz; G.P. Hancke
Self-adaptive threshold adjustment algorithms (SATAs) are required to reconfigure their parameters autonomously (i.e. to achieve self-parameter adjustment) at runtime and during online use for effective signal detection in cognitive radio (CR) applications. In this regard, a CR system embedded with the functionality of a SATA is termed a self-reconfigurable CR system. However, SATAs are challenging
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Joint 3D placement and multi-beam design for UAV-assisted wireless power transfer networks Phys. Commun. (IF 1.594) Pub Date : 2020-11-30 Xiangyang Duan; Shaopeng Ao; Wanmei Feng; Jie Tang; Juncheng Hu
This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) system, where a UAV acts as the energy transmitter (ET) to deliver radio frequency (RF) energy to a set of energy receivers (ERs). Our aim is to maximize the total harvested energy at all ERs by jointly optimizing the three-dimensional (3D) position of the UAV and beam pattern. However, the optimization problem
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Replacement based content popularity and cache gain for 6G Content-Centric network Phys. Commun. (IF 1.594) Pub Date : 2020-11-20 Yancheng Ji; Xiao Zhang; Wenfei Liu; Guoan Zhang
In Content-Centric network (CCN), the capacity of router nodes caches the contents to satisfy the requests from subsequent consumers, and reduce the network overhead. Considering the limited cache capacity, the update of cached contents becomes a key element affecting the caching performance for the future 6G network. In this paper, a replacement strategy based content popularity and cache gain (PGR)
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Time-series data optimized AR/ARMA model for frugal spectrum estimation in Cognitive Radio Phys. Commun. (IF 1.594) Pub Date : 2020-12-02 Debashis Chakraborty; Salil Kr. Sanyal
Wideband and agile Spectrum Estimation (SE) is a fundamental component of the Cognitive Radio (CR) system. However, CR systems generally utilize the classical sensing techniques for SE due to heteroscedasticity of the available spectrum. Unfortunately, analysis of the Time-series data for SE using a testbed is rare to find out. A novel Goodness-of-Fit (GoF) based accurate SE technique for CR system
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An intelligent electromagnetic environment reconstruction method based on super-resolution generative adversarial network Phys. Commun. (IF 1.594) Pub Date : 2020-12-01 Lantu Guo; Yan Zhang; Yue Li
In this paper, an intelligent electromagnetic environment reconstruction method is proposed based on a super-resolution generative adversarial network (SRGAN). The altitude matrices together with the low-resolution matrices obtained by measured power values are employed as inputs. Then, an electromagnetic environment reconstruction method capable of generating the high-resolution power coverage matrix
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Bit and Packet Error Rate evaluations for Half-Cycle stage cooperation on 6G wireless networks Phys. Commun. (IF 1.594) Pub Date : 2020-12-01 Hani H. Attar; Ahmad A.A. Solyman; Mohammad R. Khosravi; Lianyong Qi; Mohammad Alhihi; Pooya Tavallali
The excellent features of the sixth generation (6G) of wireless technology enthuses researchers to apply advanced and complex techniques on mobile communication networks, which is what this paper explores. As a result of the ability of 6G to exchange vast data rates and network programming, the Cooperative Network Coding (CoNC) technique can be implemented to improve the connectivity and diversity
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Deep multi-task learning model for time series prediction in wireless communication Phys. Commun. (IF 1.594) Pub Date : 2020-12-05 Kailin Cao; Zishuo Li; Ting Hu; Guoshuai Zhao; Xueming Qian
Making phone calls, sending messages and surfing the Internet all depend on wireless communication. Too many users connect to a same base station at the same time, which would slow network speed down. To address this issue, telecom operators can tune the network capacity in advance according to predicted Maximum Connections. Therefore, predicting Maximum Connections is necessary. Traditional time series
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Intelligent reflecting surface-assisted secrecy wireless communication with imperfect CSI Phys. Commun. (IF 1.594) Pub Date : 2020-11-19 Dongqian Wang; Jun Zhang; Qi Zhang; Hairong Wang
The intelligent reflecting surface (IRS) consist of multiple passive elements which make it can passively reflect signals by setting phase angles. The design of IRS has been widely discussed due to its low power consumption and low-cost in recent years. In this article, IRS is used to improve the performance in a secrecy communication system which compose of multiple eavesdroppers equipped with multiple
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Radio frequency fingerprinting identification for Zigbee via lightweight CNN Phys. Commun. (IF 1.594) Pub Date : 2020-11-28 Guangwei Qing; Huifang Wang; Tingping Zhang
Zigbee is a popular communication protocol in the Internet of things (IoT) which shows great potential in smart home. However, the smart device has the risk of being hijacked by unauthorized users and may result in privacy disclosure. Traditional device identification is based on cryptography which is easy to be cracked. Recently, radio frequency fingerprinting identification (RFFID) is popular in
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Channel estimation by reduced dimension decomposition for millimeter wave massive MIMO system Phys. Commun. (IF 1.594) Pub Date : 2020-11-17 Rong Dai; Yang Liu; Qin Wang; Yu Yu; Xin Guo
In this paper, a channel estimation method based on reduced dimension decomposition for millimeter-wave massive MIMO systems is proposed. For the sake of obtaining the high accuracy of the estimation, we decompose the channel matrix estimation into angle information and channel gain information estimation. The received signals are decomposed by dimensionality reduction so that the angles of the receiving
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Artificial-intelligence-based algorithms in multi-access edge computing for the performance optimization control of a benchmark microgrid Phys. Commun. (IF 1.594) Pub Date : 2020-11-17 Tie Li; Junyou Yang; Dai Cui
In practical engineering, the communication networks of industrial systems are complex, and system models are generally unavailable. To overcome the requirement of mathematical models, several artificial-intelligence-based algorithms in multi-access edge computing are introduced for the performance optimization control of a benchmark microgrid in this paper. First, a neural-network-based identification
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Optimization algorithms for improving the performance of permutation trellis codes Phys. Commun. (IF 1.594) Pub Date : 2020-11-18 Oluwafemi Kolade; Mulundumina Shimaponda-Nawa; Daniel J.J. Versfeld; Ling Cheng
In this paper, soft-decision (SD) decoders of permutation trellis code (PTC) with M-ary frequency shift keying are designed using three optimization algorithms and presented in four decoding schemes. In a concatenated code such as PTC, the Viterbi decoder for the outer convolutional code provides maximum likelihood decoding. Hence, the error correction performance is dependent on the decoding scheme
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Flexible 2D-DOA estimation using EMVS array: A HOSVD approach Phys. Commun. (IF 1.594) Pub Date : 2020-11-17 Weijie Hu; Feitao Li; Men Jinlong; Fangqing Wen
Direction-of-arrival (DOA) estimation is essential for wireless communications, especially in the recent developed artificial intelligence (AI)-based approaches. In this paper, we investigate into the problem two-dimensional (2D) DOA using electromagnetic vector sensors (EMVS) array, and a covariance tensor-based estimator is introduced. Firstly, the array covariance matrix is formulated into a fourth-order
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Hybrid genetic-sweep algorithm to solve the vehicle routing problem with drones Phys. Commun. (IF 1.594) Pub Date : 2020-11-07 Jalel Euchi; Abdeljawed Sadok
Energy consumption has become a crucial problem in the design of vehicle routing problems, hence the need to use another delivery method powered by batteries. Unmanned aerial vehicles have become fundamental tools in tasks for which man has limited skills that prevent a superlative optimization of time. The increasing use of drones by commercial companies such as Amazon, Google, and DHL has given birth
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Performance analysis of chirp spread spectrum system under mobility scenario Phys. Commun. (IF 1.594) Pub Date : 2020-11-04 Marwa Qaraqe; Saud Althunibat; Osamah S. Badarneh; Raed Mesleh
A wireless communication system using Chirp Spread Spectrum Modulation (CSSM) is analyzed in this study while assuming mobile nodes. CSSM exhibits promising error performance under very low signal-to-noise ratio values. Thereby, CSSM has been adopted in systems that generate low data traffic over long distances, such as low-power wireless networks. Existing studies reveal the significant advantages
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Power allocation scheme for maximizing spectral efficiency and energy efficiency tradeoff for uplink NOMA systems in B5G/6G Phys. Commun. (IF 1.594) Pub Date : 2020-10-21 Xinji Tian; Yuxia Huang; Sahil Verma; Machao Jin; Uttam Ghosh; Khaled M. Rabie; Dinh-Thuan Do
Non-orthogonal multiple access (NOMA) is one of the key potential technologies for beyond 5G, i.e., 6G, networks. However, power allocation for spectral efficiency (SE) and energy efficiency (EE) tradeoff for uplink NOMA systems is still an open problem. In this study, we investigate the power allocation problem to maximize SE–EE tradeoff for systems with multi-cluster multi-user applications. Firstly
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Outage analysis of NOMA-based cooperative relay systems with imperfect SIC Phys. Commun. (IF 1.594) Pub Date : 2020-10-14 Shailendra Singh; Matadeen Bansal
In fifth-generation (5G) wireless communication systems, non-orthogonal multiple access (NOMA) has been considered as a promising multiple access technique. In this paper, a NOMA-based cooperative relay system (CRS) is proposed and analyzed. In contrast to the conventional cooperative relay NOMA system (system model in Kim and Lee (2015)), the proposed NOMA-based CRS allows a source and a relay to
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Deep learning based detection technique for FSO communication systems Phys. Commun. (IF 1.594) Pub Date : 2020-10-26 M.A. Amirabadi; M.H. Kahaei; S.A. Nezamalhosseini
One of the main barriers in front of Free Space Optical (FSO) communication systems is the atmospheric turbulence induced fading. Theoretically, the Maximum Likelihood (ML) detector is the optimum detector. The ML detector requires Channel State Information (CSI), which can be provided in perfect or blind forms. The perfect CSI ML detector requires pilot transmission for channel estimation, which increases
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The design of an indoor high-precision multi-source wireless positioning system in B5G environment Phys. Commun. (IF 1.594) Pub Date : 2020-11-02 Geng Chen; Huyong Ma; Qingtian Zeng
To meet the growing demand for indoor wireless positioning in B5G environment, a high-precision indoor positioning system is designed in this paper. The designed system adopts the fusion of multi-source positioning techniques, to chieve the reasonable cost and reliability. First, Considering the B5G environment, a two-steps fusion algorithm is proposed for the designed system, in which the UWB and
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Research on channel allocation game algorithm for improving robustness in WSN Phys. Commun. (IF 1.594) Pub Date : 2020-10-28 Ning Yao; Xiaochen Hao; Dong Liu; Weijing Liu; Bai Chen
In wireless sensor network, robustness is one of the basic network performances, which influences the network lifetime. At the same time, because of the bad environment, the comprehensive failure probability is increased and the cascading failure is caused, which reduces the network robustness. To solve the problem, a failure probability of nodes is described by constructing a model of comprehensive
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Optimizing cubic metric in orthogonal frequency division multiplexing systems using chaotic differential search algorithm Phys. Commun. (IF 1.594) Pub Date : 2020-10-28 Hojjat Emami; Abbas Ali Sharifi
Cubic metric (CM) is a more precise measure to compute the large envelope fluctuations of orthogonal frequency division multiplexing signals. In this study, we use the partial transmit sequence method to reduce the high CM of signals. Despite the dramatic CM reduction ability of the partial transmit sequence method, its computational complexity is very high because of an exhaustive search over all
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An efficient SLM technique based on migrating birds optimization algorithm with cyclic bit flipping mechanism for PAPR reduction in UFMC waveform Phys. Commun. (IF 1.594) Pub Date : 2020-10-14 Necmi Taşpınar; Şakir Şimşir
The peak-to-average power ratio (PAPR) is one of the most serious issues to be dwelled on, carefully, in wireless communication. It is not possible to take the advantage of multicarrier transmission strategy without handling the problem of high PAPR arising from the usage of multiple subcarriers for generating the time domain transmission signals. As being a kind of multicarrier waveform, universal
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Robust beamforming for D2D multicast communication Phys. Commun. (IF 1.594) Pub Date : 2020-10-14 Uyoata Uyoata; Joyce Mwangama; Mqhele Dlodlo
In this paper, beamforming for device-to-device multicast communication under channel uncertainty arising from incomplete channel state information is considered. The problem is first formulated as a non-robust minimization problem subject to signal-to-interference-plus-noise ratio, transmit power and interference constraints. Using semi-definite programming relaxation, a tractable convex robust counterpart
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Intelligent spectrum management based on reinforcement learning schemes in cooperative cognitive radio networks Phys. Commun. (IF 1.594) Pub Date : 2020-10-17 Amandeep Kaur; Krishan Kumar
Cognitive Radio (CR) and Cooperative Communication provide key technologies for efficient utilization of available unused spectrum bands (called resources) to achieve a spectral efficient system with high throughput. But to achieve its full potential, it is essential to empower the brain of CR that is Cognitive Engine (CE), using machine learning algorithms to control the operation and adapt parameters
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Secrecy capacity results for a secure NOMA-based cognitive radio network with an external eavesdropper Phys. Commun. (IF 1.594) Pub Date : 2020-10-15 K. Adli Mehr; J. Musevi Niya; H. Seyedarabi; S. Khoshabi Nobar
In this paper, we investigate a secure cognitive radio network (CRN), which deploys non-orthogonal multiple access (NOMA) to deliver a mixed multicast and unicast traffic to the intended receivers, while keeping them secret from the eavesdroppers. This model represents a cognitive interference channel with an external eavesdropper (CIC-EE). In this model, there are one pair of primary nodes, one pair
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A robust filter bank multicarrier system as a candidate for 5G Phys. Commun. (IF 1.594) Pub Date : 2020-10-14 Salar Kheder Shaikhah; Samah Mustafa
Frequency spreading filter bank multicarrier (FS-FBMC) is widely considered as a potential candidate for the air interface of the next-generation mobile communication, 5G. The prototype filter plays a pivot role in the frequency–time confinements to obtain a better performance, as a result of mitigating the inter-carrier interference and the inter-symbol interference. In this work, the architecture
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Focusing gain analysis of time-reversal precoding in MISO OFDM communication systems Phys. Commun. (IF 1.594) Pub Date : 2020-10-06 Trung-Hien Nguyen; Jean-François Determe; Shaghayegh Monfared; Jérôme Louveaux; Philippe De Doncker; François Horlin
Emerging communication systems can benefit from time-reversal (TR) technology thanks to its good spatio-temporal signal focusing effect. The recent advances in low-cost wideband devices fabrication further leverage the use of TR wideband communication systems. The TR is generally carried out in the time domain and the focusing effect of TR comes from the use of a high transmit rate back-off factor
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Automatic digital modulation recognition in the presence of alpha-stable noise Phys. Commun. (IF 1.594) Pub Date : 2020-10-08 Chuanchuan Wang; Mingqian Liu; Qian Chen; Bodong Shang; Huaiyu Tang
In this paper, we introduce a novel modulation recognition method of digital communication signals with alpha-stable noise to solve the problem of low recognition performance in mixed signal-to-noise-ratio environment. The received signals are separated into signals and alpha-stable noise by employing fractional lower order fast independent component analysis (FLO-Fast-ICA), and then the separated
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Interference aided cooperative SWIPT for cellular IoT networks towards 5G and beyond Phys. Commun. (IF 1.594) Pub Date : 2020-10-08 Md. Fazlul Kader
To meet the anticipated challenges of the fifth-generation and beyond wireless networks, multiple candidate technologies are needed to be integrated. Motivating by this, two cooperative simultaneous wireless information and power transfer (SWIPT) protocols are proposed in this study for cellular internet of things (IoT) networks by exploiting non-orthogonal multiple access considering two different
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Host-to-host TCP/IP connection over serial ports using visible light communication Phys. Commun. (IF 1.594) Pub Date : 2020-10-08 Heba Yuksel; Ömer Altunay
As the radio spectrum becomes increasingly crowded, the superior spectral capacity in the visible light range becomes increasingly attractive. Visible light communication (VLC) technology uses the light waves from light emitting diode (LED) lamps and overheads to stream data and connect people as a more efficient, more available, and more secure alternative to Wireless Fidelity (Wi-Fi). The aim of
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Improved Gaussian mixture modeling for accurate Wi-Fi based indoor localization systems Phys. Commun. (IF 1.594) Pub Date : 2020-10-01 Marwan Alfakih; Mokhtar Keche; Hadjira Benoudnine; Abdelkrim Meche
This paper deals with the problem of device’s location using Wi-Fi signal strength in an indoor environment. In order to improve the location accuracy a new fingerprinting-probabilistic algorithm is proposed. In this algorithm, the probability distribution of the Received Signal Strength (RSS) by a Mobile User (MU) from several Access Points (AP) is approximated using the Gaussian Mixture Model (GMM)
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A discriminant analysis-based automatic ordered statistics scheme for radar systems Phys. Commun. (IF 1.594) Pub Date : 2020-09-28 A.J. Onumanyi; H. Bello-Salau; A.O. Adejo; H.O. Ohize; M.O. Oloyede; E.N. Paulson; A.M. Aibinu
The ordered statistics (OS) scheme is an effective constant false alarm rate (CFAR) technique deployed in many radar systems. It is widely deployed because of its simplicity and effectiveness under conditions of both homogeneous and non-homogeneous radar returns. However, the problem of inaccurate censoring typically degrades its performance since it is often difficult to accurately determine the actual
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Secure hybrid pulse compression as a technique against jamming in radar systems Phys. Commun. (IF 1.594) Pub Date : 2020-09-26 Mojtaba Shahrab; Hossein Soleimani
In this paper, we propose a secure hybrid pulse compression method for radar waveform design. This method uses a confidential code as the phase-code for the binary-shift keying modulation. We also use another confidential code for the frequency-code. This code is replaced in the frequency control register of a direct digital synthesizer to perform the narrow-band frequency-shift keying. We exploit
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Robust automatic modulation classification based on convolutional and recurrent fusion network Phys. Commun. (IF 1.594) Pub Date : 2020-09-24 Zhichao Lyu; Yu Wang; Wenmei Li; Liang Guo; Jie Yang; Jinlong Sun; Miao Liu; Guan Gui
Automatic modulation classification (AMC) is a critical step to recognize the unknown signal modulation types. It is widely applied in non-cooperative communication systems with diverse modulation types and complex communication environments. In recent years, existing deep learning based AMC methods have been developed to improve the performance of classification in additive white Gaussian noise (AWGN)
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UAV relaying assisted transmission optimization with caching in vehicular networks Phys. Commun. (IF 1.594) Pub Date : 2020-09-22 Haibo Dai; Liming Zhang; Hui Bian; Baoyun Wang
In vehicle-to-network (V2N) communication, it is a great challenge to remain the communication performance of vehicles at all times in case of the mobility of vehicles. This paper investigates a novel architecture of unmanned aerial vehicle (UAV)-assisted V2N communication, where UAV with caching serves as a carrier of flying base station to jointly communicate with vehicles. The optimization problem
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Dragonfly approach for resource allocation in industrial wireless networks Phys. Commun. (IF 1.594) Pub Date : 2020-09-11 Sanjay Bhardwaj; Dong-Seong Kim
This paper presents a novel nature inspired dragonfly based, optimization paradigm, named as dragonfly search convergence and coverage algorithm (DSCCA) for resource allocation in an industrial wireless network. This paradigm imitates the swarming behavior of the dragonfly for optimized and efficient resource allocation to fulfill multi-objective of better throughput, low error probability, and low
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Further upper bounds on the minimum distance for turbo codes using CPP interleavers Phys. Commun. (IF 1.594) Pub Date : 2020-09-23 Lucian Trifina; Daniela Tarniceriu; Jonghoon Ryu; Ana-Mirela Rotopanescu
This paper addresses turbo codes with component convolutional codes as those in the Long Term Evolution (LTE) standard. We consider the interleaver lengths of the form L=32kLΨ, with kL∈{1,3} and Ψ is a product of prime numbers greater than three. For these interleaver lengths, we have shown that a true cubic permutation polynomial (CPP) f1x+f2x2+f3x3(modL), under the constraint f3=0(modpi) when a prime
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Performance analysis of AF relaying assisted NOMA system with imperfect CSI and SIC Phys. Commun. (IF 1.594) Pub Date : 2020-09-09 Jinlong Zhao, Xinwei Yue, Shaoli Kang
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The technology of adversarial attacks in signal recognition Phys. Commun. (IF 1.594) Pub Date : 2020-09-08 Haojun Zhao, Qiao Tian, Lei Pan, Yun Lin
The wide application of contour stellar images has helped researchers transform signal classification problems into image classification problems to solve signal recognition based on deep learning. However, deep neural networks (DNN) are quite vulnerable to adversarial examples, thus simply evaluating the adversarial attack performance on the signal sequence recognition model cannot meet the current
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Fault diagnosis of coal-mine-gas charging sensor networks using iterative learning-control algorithm Phys. Commun. (IF 1.594) Pub Date : 2020-09-05 Jianyu Zhang, Kai Huang
To detect and estimate the faults of discrete linear time-varying uncertain systems, a discrete learning strategy is applied to fault diagnosis, and a new fault-detection and estimation algorithm is proposed. The algorithm adopts the threshold-limit technology. In the selected optimal time domain, a residual signal is used to perform iterative learning correction for the introduced virtual faults so
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Secrecy in wireless communication through closed-loop receiver de-synchronization Phys. Commun. (IF 1.594) Pub Date : 2020-09-05 Antonios Argyriou
A subset of the synchronization algorithms in a wireless receiver are responsible for tracking the phase and frequency of a digitally modulated signal. If variations of the phase in the signal are substantial, then the receiver might be unable to track them leading to inability to demodulate the data. In this paper we propose a method for improving the secrecy of wireless communication by ensuring
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A Reinforcement Learning based evolutionary multi-objective optimization algorithm for spectrum allocation in Cognitive Radio networks Phys. Commun. (IF 1.594) Pub Date : 2020-09-02 Amandeep Kaur, Krishan Kumar
To cope up with drastically increasing demand for radio resources lead to raise a challenge to the wireless community. The limited radio spectrum and fixed spectrum allocation strategy have become a bottleneck for various wireless communication. Cognitive Radio (CR) technology along with potential benefits of machine learning has attracted substantial research interest especially in the context of
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Spectrum sensing assisted by windowing for fast time-varying channel Phys. Commun. (IF 1.594) Pub Date : 2020-09-01 Kaïs Bouallegue, Matthieu Crussière
In this paper, we introduce new totally blind spectrum sensing (SS) algorithms, for fast time-varying channel, based on eigenvalue decomposition (EVD) of the covariance matrix of the received signal. The new scheme is based on the sliding window whose the size depends on the coherence time of the channel. First, we evaluate the impact of the mobility on the detection performance. Then, by applying
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Low complexity based scheduling methods for multi-user MIMO systems Phys. Commun. (IF 1.594) Pub Date : 2020-08-28 P. Pattanayak, D. Sarmah, P. Paritosh
The process of joint user and receive antenna scheduling is very vital in the uplink direction of multi-antenna wireless data communications system with multiple users. With higher number of receive antennas and active users, the search space becomes huge for the joint user and receive antenna scheduling process. It is very difficult to accomplish the searching through the entire search space within
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Ink-printed flexible wideband dipole array antenna for 5G applications Phys. Commun. (IF 1.594) Pub Date : 2020-08-28 Erfeng Li, Xue Jun Li, Boon-Chong Seet, Xiaoyou Lin
This article presents a novel flexible wideband ink-printed dipole array antenna for emerging medical sensing and human body wearable electronics applications. The antenna operates from 23 GHz to 30 GHz, including 24.5 GHz and 28 GHz for 5G application. The antenna consists of simple layered screen printed structure, which is suitable for rapid prototyping with printing technology. Both simulation
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XL-MIMO energy-efficient antenna selection under non-stationary channels Phys. Commun. (IF 1.594) Pub Date : 2020-08-26 Gabriel Avanzi Ubiali, Taufik Abrão
Massive multiple-input-multiple-output (M-MIMO) is a key technology for 5G networks. Within this research area, new types of deployment are arising, such as the extremely-large regime (XL-MIMO), where the antenna array at the base station (BS) has extreme dimensions. As a consequence, spatial non-stationary properties appear as the users see only a portion of the antenna array, which is called visibility
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Performance analysis of Power-Domain NOMA and NOMA-2000 on AWGN and Rayleigh fading channels Phys. Commun. (IF 1.594) Pub Date : 2020-08-25 Ali Al Khansa, Xiao Chen, Yue Yin, Guan Gui, Hikmet Sari
Non-Orthogonal Multiple Access (NOMA) has been a hot research topic over the past years, because it is widely viewed as a promising technology for 5G cellular networks and beyond. The NOMA literature today is heavily based on the so-called Power-Domain NOMA (PD-NOMA), which consists of superposing user signals with different powers. Also, the focus in the literature has been on the derivation of achievable
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