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Presents the table of contents for this issue of the publication.

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Grant-free random access is a key enabler in massive machine-type communications (mMTC) to reduce signalling overhead and latency thereby improving the energy efficiency. One of its main challenges lies in joint user activity identification and channel estimation (JUICE). Due to the sporadic mMTC traffic, JUICE can be solved as a compressive sensing (CS) problem. We address CS-based JUICE in uplink

In order to provide high quality services for Internet of Things (IoT) users with ever-changing requirements, a novel multi-access edge computing (MEC) based network paradigm is proposed in this letter. In the proposed framework, the service providers rent resources from resource providers (RPs), and then deploy them into MEC nodes (MNs). In this way, the MNs are labeled as temporal service points

Connectivity provided from space is the ultimate method for a true and uninterrupted global coverage, where there are several massive satellite constellations that are currently undergoing rapid deployment. This letter lays a tractable analytic approach for modeling the downlink coverage probability in such dense satellite networks. The presented framework utilizes tools from stochastic geometry leveraging

We investigate the Age of Information (AoI) of Jackson Networks with finite buffer size. We provide a closed form expression of an upper bound of the average AoI by using Stochastic Hybrid Systems (SHS) along with linear algebra tools. Since the computation of the bound requires inverting a ${N}\,\,\times \,\,{N}$ matrix, where ${N}$ is the number of queues in the network, we provide a simple iterative

We consider a status update system consisting of two independent sources and one server in which packets of each source are generated according to the Poisson process and packets are served according to an exponentially distributed service time. We derive the moment generating function (MGF) of the age of information (AoI) for each source in the system by using the stochastic hybrid systems (SHS) under

In this letter, we propose a proactive online power allocation algorithm aiming to maximize the ergodic sum rate for an uplink multi-carrier non-orthogonal multiple access enabled Internet of Things (IoT) network, in which IoT devices (IoTDs) are subject to both instantaneous and ergodic transmit power constraints. The proposed algorithm enables a natural distributed implementation where each IoTD

This letter studies the massive multiple-input multiple-output (MIMO) analog uncoded over-the-air computation (AirComp), which is a promising solution in Internet-of-Things (IoT) networks for fusion centers (FCs) to compute functions of data distributed in a large number of wireless devices (WDs). To avoid the heavy overhead of the perfect real-time channel state information (CSI) estimation, we develop

Sparse code multiple access (SCMA) has become a highly competitive technology for future cellular systems. For the receiver of the SCMA system, besides the traditional maximum likelihood and message passing algorithm solutions, a deep neural network (DNN) method that causes whirlwinds in image recognition can reduce the computational complexity of the decoder. We expect low complexity while maintaining

In blind detection, both the downlink control information (DCI) format and the physical downlink control channel format are unknown, which results in high detection complexity. If the DCI format can be determined, half of the invalid candidates will be eliminated, which can significantly reduce the detection complexity. To determine the DCI format, this letter designs a DCI metric based on a correction

In this letter, we consider wireless powered communication networks (WPCNs) that consist of a hybrid access-point (H-AP) with a single antenna, an intelligent reflecting surface (IRS), and multiple users, each with a single antenna. In the downlink, users harvest energy from both an energy signal transmitted from the H-AP, and the reflected signal at the IRS. In the uplink, users transmit information

In this letter, a cooperative underlay cognitive non-orthogonal multiple access (NOMA)-based coordinated direct and relay transmission is investigated. Specifically, exact closed-form expressions for the outage probabilities (OPs) of the primary and SNs are derived, based on which the respective asymptotic analysis are carried out. Our results show the superiority of the proposed system when compared

This letter investigates the feasibility of the quantized digital polar transmitter architecture in a downlink multi-user massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system, where a low amplitude resolution and a moderate phase resolution are utilized. We derive a lower bound on the average sum-rate achievable with Gaussian signaling inputs and linear

In this letter, we investigate covert communications with finite blocklength under the channel inversion power control (CIPC) scheme, where a transmitter is allowed to communicate with a receiver without transmitting the pilot signals, which facilitates the hidden of the transmitter from the warden. Considering both the conventional and truncated CIPC schemes, we provide the novel expressions of the

In this letter, the performance of the selection combining (SC) scheme over independent and non-identically distributed (i.n.i.d.) Fisher-Snedecor $\mathcal {F}$ fading channels is analysed. Accordingly, the probability density function (PDF) and the moment generating function (MGF) of the maximum of i.n.i.d. Fisher-Snedecor $\mathcal {F}$ variates are derived first. Based on these statistics, the

This letter proposes a dynamic joint scheduling for the ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic at a sub-frame level with a queuing mechanism, which monitors and controls the latency of each URLLC packet in real time to ensure its strict requirements. We analytically derive the outage probability (i.e., the probability of any URLLC packet drop over

In this letter, joint power control of D2D users and passive beamforming of reconfigurable intelligent surfaces (RIS) for a RIS-aided device-to-device (D2D) communication network is investigated to maximize energy efficiency. This non-convex optimization problem is divided into two subproblems, namely passive beamforming and power control. The two subproblems are optimized alternately. We first decouple

Non-line-of-sight (NLOS) propagation conditions can severely degrade wireless localization accuracy due to the biases in range measurements. Machine learning methods such as support vector machine (SVM) can mitigate the effect of NLOS biases when sufficient labeled ranging measurements are available. This letter proposes a semi-supervised learning approach for NLOS identification and mitigation, which

A realistic performance assessment of any wireless technology requires the use of a channel model that reflects its main characteristics. The independent and identically distributed Rayleigh fading channel model has been (and still is) the basis of most theoretical research on multiple antenna technologies in scattering environments. This letter shows that such a model is not physically appearing when

This letter focuses on fairness-aware resource management in a multi-user and multi-server mobile edge computing (MEC) network, where the resource supply and demand are jointly considered for resource allocation and task assignment, respectively. In particular, we aim to minimize the maximum task execution latency of all users subject to task and resource constraints. Although the optimization problem

Dynamic spectrum access (DSA) is crucial to improve the utilization efficiency of the limited and precious radio spectrum resources. Recently, the application of blockchain is proposed to improve the security, distribution and transparency of DSA. However, in opportunistic spectrum access (OSA), the implementation of blockchain consumes considerable amount time in each time slot so that the time left

Single ray tracking algorithm may cause significant performance deterioration in millimeter-wave (mmWave) channels with a cluster of indistinguishable multiple paths, especially in multiuser scenarios. By expressing the clustered channel vector as the Hadamard product of a time-varying cluster central path channel vector (CCPCV) and an intra-cluster structure vector (ICSV), an algorithm of jointly

In this letter, we consider a sectorized wireless powered sensor network (WPSN), wherein sensor nodes, which are clustered based on sectors, transmit data to the cluster head (CH) using energy harvested from a hybrid access point. We construct a system model for this sectorized WPSN and formulate an optimization problem to obtain an optimal CH that maximizes the achievable transmission rate of sensing

Cell-free networks are considered to be a promising distributed network architecture to satisfy the increasing number of users and high rate expectations in beyond-5G systems. However, to further enhance network capacity, an increasing number of high-cost base stations (BSs) is required. To address this problem and inspired by the cost-effective intelligent reflecting surface (IRS) technique, we propose

This letter investigates information freshness of multichannel access in information update systems. Age of information (AoI) is a performance metric that characterizes information freshness. When multiple devices share the same wireless channel to send updates to a common receiver, an interesting question is whether dividing the whole channel into several subchannels will lead to better AoI performance

We introduce a new grant-free non-orthogonal multiple access (GF-NOMA) scheme, which unlike conventional approaches, spreads over the frequency domain instead of the time domain to reduce access latency. Most conventional receivers for GF-NOMA require the pre-tuning of hyperparameters to achieve superior performance. To avoid such pre-tuning, we propose a hyperparameter-free receiver for the proposed

The cellular-connected unmanned aerial vehicle (UAV) communication becomes a promising technique to realize the beyond fifth generation (5G) wireless networks, due to the high mobility and maneuverability of UAVs which can adapt to heterogeneous requirements of different applications. However, the movement of UAVs impose a unique challenge for accurate beam alignment between the UAV and the ground

A combinatorial approach was recently proposed for designing multidimensional codebooks for fading channels. Albeit flexible and granting full signal space diversity, it relies on the optimal maximum likelihood detection, which is rather complex. In this letter, we propose an alternative low-complexity, list-based detection algorithm for the codebooks under this approach. The detection complexity of

This letter investigates bit-interleaved coded multiple beamforming (BICMB) with perfect coding in millimeter-wave (mm-wave) multiple-input multiple-output (MIMO) systems to achieve the maximum diversity gain. Using perfect coding with BICMB enables us to do this. We show that by using BICMB and perfect coding, the diversity gain becomes independent of the number of transmitted data streams and the

In this letter, we derive the uplink achievable rate expression of intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) systems, taking into account the phase noise at IRS and the quantization error at base stations (BSs). We show that the performance is limited only by the resolution of analog-digital converters (ADCs) at BSs when the number of IRS reflectors grows without bound. On

Policy gradient reinforcement learning techniques enable an agent to directly learn an optimal action policy through the interactions with the environment. Nevertheless, despite its advantages, it often suffers from sample inefficiency. Inspired by human’s decision making approach, we work toward enhancing its convergence speed by augmenting the agent to memorize and reuse the recently learned policies

In this letter, we propose layered asymmetrically clipped optical-orthogonal frequency-division multiplexing (LACO-OFDM) with index modulation (IM), i.e., LACO-OFDM-IM for optical wireless systems. In classical LACO-OFDM, the spectral leakage because of out-of-band clipping harmonics increases the baseband bandwidth (BB) resulting in lower spectral efficiencies. For LACO-OFDM-IM, we use IM and optimize

We consider the problem of wideband spectrum sensing, where a multi-antenna secondary user (SU) attempts to identify the frequency locations of a number of single-antenna primary users (PUs)’ transmissions that spread over a wide frequency band. To overcome the sampling rate bottleneck, we propose a new sub-Nyquist sampling architecture as well as a compressed power spectrum estimation method whose

A vast adoption of wireless Internet of Things (IoT) network calls for reliable connectivity to support these large numbers of low-cost devices. The approach of frame-repetition is proposed by many IoT technologies to enhance the reliability in terms of coverage probability of wireless links. While the repetition scheme improves the chances of successful transmission, it usually leads to elevated interference

We consider the problem of user activity detection for grant-free massive connectivity, where a base station, equipped with a large number of antennas, serves a large number of machine type devices. Two massive multiple-input multiple-output (mMIMO) systems are studied, namely, a collocated mMIMO with physically collocated antennas and a cell-free mMIMO with geographically separated antennas. By utilizing

This letter tackles whether and how repetition coding enables reliable and covert communications by considering binary phase shift keying. Communication reliability and covertness are analyzed in terms of the bit error rate $P_{e}$ and the minimum detection error probability $\xi ^{\ast }$ . Our examination shows that, when a warden Willie knows the codeword structure, both $P_{e}$ and $\xi ^{\ast

In wireless systems aided by reconfigurable intelligent surfaces (RISs), channel state information plays a pivotal role in achieving the performance gain of RISs. Mobility renders accurate channel estimation (CE) more challenging due to the Doppler effect. In this letter, we propose two practical wideband CE schemes incorporating Doppler shift adjustment (DSA) for multi-path and single-path propagation

This letter investigates the ergodic secrecy rate (ESR) of a reconfigurable intelligent surface (RIS)-assisted communication system in the presence multiple eavesdroppers (Eves), and by assuming discrete phase shifts at the RIS. In particular, a closed-form approximation of the ESR is derived for both non-colluding and colluding Eves. The analytical results are shown to be accurate when the number

In this letter, the reliability-based signal detection is proposed for universal filtered multicarrier (UFMC) systems. In the proposed detector, first, the initial subcarrier-wise estimation utilizing the even-component of frequency-domain (FD) received signal is performed, and the reliabilities of the estimated signals are measured by the corresponding FD channel magnitudes. Second, the estimated

This letter investigates the uplink outage performance of intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA). We consider the general case where all users have both direct and reflection links, and all links undergo Nakagami- ${m}$ fading. We approximate the received powers of the NOMA users as Gamma random variables via moments matching. This allows for tractable expressions

In this letter, a dynamic channel reservation (DCR) strategy based on deep Q network (DQN) is proposed for multi-service low earth orbit (LEO) satellite communication system. We develop a novel modeling method to represent DCR problem of multiple services as a reinforcement learning (RL) task. Based on this model, we calculate the influence of current channel allocation results on future environment

Cell-free system is an efficient solution to eliminate inter-cell interference by serving users without cell boundaries. To further improve the spectrum efficiency, in this letter, we consider a reconfigurable intelligent surface (RIS) aided cell-free MIMO system. Multiple RISs are employed to create favorable propagation conditions via configurable reflection from the BS to users. Benefited from multiple

Aerial-ground cooperative vehicular networks are envisioned as a novel paradigm in B5G/6G visions. In this letter, the challenge of optimizing the global energy-efficiency (EE) of multi-UAV-aided vehicular networks in the presence of uncertain air-to-ground (A2G) channels is addressed. Specifically, we propose a maximin paradigm to characterize the system, which aims to maximize its global EE meanwhile

Grant-free multiple-input multiple-output (MIMO) usually employs non-orthogonal pilots for joint user detection and channel estimation. However, existing methods are too complex for massive grant-free access in massive MIMO. This letter proposes pilot detection reference signal (PDRS) to greatly reduce the complexity. In PDRS scheme, no iteration is required. Direct weight estimation is also proposed

We study how the nonlinearity of the high power amplifier (HPA) affects multi-tone simultaneous wireless information and power transfer (SWIPT). Considering the nonlinear HPA model, we analyze the symbol-error rate performance of the peak-to-average power ratio (PAPR) modulation for the multi-tone SWIPT. Numerical results demonstrate that the HPA has a significant impact on both energy harvesting and

In this letter, the outage performance of a two-user downlink non-orthogonal multiple access (NOMA) time-varying network without any knowledge on the channel state or distribution at the base station (BS) is investigated. Building on reinforcement learning techniques and, more precisely, on multi-armed bandits (MAB), we propose a novel adaptive NOMA scheme that optimally tunes which user should perform

In this letter, we investigate closed-form distributions to approximate the power of the residual Self-Interference (SI) due to: 1) uncanceled signals transmitted over multiple delay-taps, and 2) the presence of radio frequency and transceiver impairments, of an In-Band Full-duplex (IBFDX) wireless system. Starting with the distribution of the residual SI power for a single tap, we extend the analysis

In this letter, we consider an intelligent reflecting surface (IRS)-aided mobile edge computing (MEC) system, where an IRS is deployed to assist computation offloading from two users to an access point connected with an edge cloud. For the IRS-aided data transmission, in contrast to the conventional non-orthogonal multiple-access (NOMA) and time-division multiple-access (TDMA), we propose a new flexible

Modulation recognition plays a critical role in the development of reconfigurable radios which intelligently interact with their environments to maximize resources utilization. This research topic has been intensively investigated in the literature for different communication systems during the last decades. However, to the best of the authors’ knowledge, no work has been reported to take advantage

This letter proposes three novel resource and user scheduling algorithms with contiguous frequency-domain resource allocation (FDRA) for wireless communications systems. The first proposed algorithm jointly schedules users and resources selected adaptively from both ends of the bandwidth part (BWP), while the second and third ones apply disjoint user and resource selection with either single-end or

Most of the prior works on designing codebooks for limited feedback systems have not considered the presence of strong line-of-sight (LOS) channel component. This letter proposes the design of polar-cap codebook (PCC) for multiple-input single-output (MISO) limited feedback systems subject to Rician fading channels. The codewords of the designed PCC are adaptively constructed according to the instantaneous