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The Third Generation Partnership Project (3GPP) has defined a blockage model as an add-on feature to the channel model used in its evaluations of the physical layer in the 0.5-100 GHz frequency range. This letter focuses on the human body blockage losses in the millimeter-wave band proposing: (i) a new criterion to place the diffraction points over the edges of the blockers that considers the precise

The Golay complementary set (GCS) has been applied in OFDM systems because of its desirable property of low peak-to-average power ratios (PAPRs). A generalization of GCS which is called the multiple-shift complementary set (MSCS) was also introduced to have bounded PAPRs. In addition, the MSCSs can be used to construct GCSs. In this letter, we first provide a more generalized construction of GCSs with

This letter discusses a special type of ${q}$ -ary spatially coupled low-density parity-check (SC-LDPC) codes with the potential for local decoding (LD). We demonstrate that ${q}$ -ary SC-LDPCL (suffix “L” stands for locality) code ensembles have better decoding thresholds than the corresponding binary ensembles. We also develop local window decoding (LWD) to improve local decoding performance. The

The greatest-common-divisor (GCD) method is a general framework employing a set of simple inequalities (called GCD constraint) to guarantee girth eight for a class of $(J,L)$ quasi-cyclic (QC) low-density parity-check (LDPC) codes. However, an important problem, i.e., whether the GCD constraint is necessary for this class of codes to have girth eight, remains open. In this letter, the question is answered

We propose an attack on the recent attempt by Li, Xing and Yeo to produce a code-based signature scheme using the Schnorr-Lyubashevsky approach in the Hamming metric, and verify its effectiveness through numerical simulations. Differently from other (unsuccessful) proposals, this new scheme exploits rejection sampling along with dense noise vectors to hide the secret key structure in produced signatures

In this letter, the weighted fractional Fourier transform (WFRFT) is performed on the chaotic sequence to enhance the security of the chaotic direct sequence spread spectrum (CD3S) communication, and a WFRFT-CD3S system that spreads the information bits through the WFRFT-chaotic sequence is proposed. In the proposed system, the transmitter scrambles the phase space trajectory of the chaotic sequence

We consider the problem of secretive coded caching in a shared cache setup where the number of users accessing a particular helper cache is more than one, and every user can access exactly one helper cache. In secretive coded caching, the constraint of perfect secrecy must be satisfied. It requires that the users should not gain, either from their caches or from the transmissions, any information about

In this letter, we have studied how to use simultaneous collision-free duplexing (SCD) in point-to-multipoint environment. SCD is a method exchanging uplink and downlink signals simultaneously using the same resource for each link and has the advantages in that it does not need complicated self-interference cancellation unlike full duplexing. In addition, SCD is different from dynamic time division

In reconfigurable intelligent surfaces (RISs) aided millimeter wave communication systems, accurate channel state information (CSI) is particularly crucial to achieve high passive beamforming gain. However, the complexity of channel estimation increases significantly due to the high-dimensional channel matrix and the additional RISs’ assisted channels. To tackle this challenge, an alternating direction

This letter considers the problem of underdetermined estimation of direction-of-arrival (DOA) and polarization parameters, including the degree of polarization (DOP), polarization orientation angle (POA), and polarization ellipticity angle (PEA), for partially polarized (PP) signals with a dual-polarized coprime array. Firstly, the increased dimension due to dual-polarized sensors is reduced by adding

Nowadays radar systems have been facing with the disordered electromagnetic spectrum access and utilization in shared spectrum environments with radio communication systems. Numerous waveform recognition methods have been studied with feature engineering and conventional machine learning (ML) for intelligent radar systems, but they are critically challenged by practical problems of scalability and

We study a joint partial offloading and resource allocations (JPORA) problem for the mobile edge computing (MEC) with energy harvesting (EH), where the number of MDs, computation task, and harvested energy of mobile device (MD) are highly dynamic. It is critical to acquire an algorithm that optimally adapts JPORA decisions. Recent studies employ deep deterministic policy gradient (DDPG) agent to tackle

Machine Learning (ML) is the dominating solution for the implementation of Self-Organizing Networks (SON), which automate mobile network management. However, the data scarcity derived from the reluctance of operators complicates the necessary training phase ML algorithms. In this letter a method to generate artificial Key Performance Indicators (KPIs) time series is proposed considering their time-dependent

LoRa has been widely used in the Internet of Things (IoT). However, since LoRa only supports single symbol transmission in its bandwidth, the bit rate of LoRa is limited. This restricts the future development of LoRa, such as Smart Home, Internet of Vehicles, Satellite IoT, etc. Toward this end, based on the energy convergence characteristic of LoRa symbol in the fractional domain, we propose a multiplexed

In this letter, beam selection and power allocation are investigated for maritime offshore communications. Considering the slow-changing network topology and the line-of-sight (LOS) dominant propagation of land-sea links, we define a beam configuration period (BCP) as a time span to contain numerous coherence intervals (CIs), and provide a two-timescale design by enforcing the long-term beam selection

In Walker delta constellations, satellites moving in different directions form two meshes. Inter-mesh links that connect satellites in different meshes are typically not used due to high relative speed. However, this hurts the end-to-end delay performance. In this letter, we aim to find a tradeoff between the system complexity of establishing such links and the delay performance. An inter-mesh link

Full-duplex (FD) technology combined with dual-polarization (DP) multiple-input multiple-output (MIMO) systems is attractive to improve spectral efficiency and to enhance link capacity. Cancelling self-interference (SI) in such DPFD MIMO systems using beamforming techniques is very challenging due to a significant difference of the co-polarization and cross-polarization SI channels. In this letter

Both non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MIMO) are the promising techniques to satisfy the foreseeable massive connectivity requirements. In this letter, a novel semi-blind channel estimation method is proposed for multi-cell massive MIMO-NOMA systems, in which a group successive interference cancellation (GSIC) assisted method is developed to mitigate

In this letter, a non-coherent discrete W transform based index-keying $M$ -ary differential chaos shift keying (DWT-IK-MDCSK) system is proposed to tackle the high peak to average power ratio (PAPR) in the code-shifted DCSK systems and meet the demand of high-data-rate transmissions. In such system, multiple chaotic signals and their Hilbert transforms are cooperated closely to convey the $M$ -ary

In the context of cell-free massive multi-input multi-output (mMIMO), zero-forcing precoding (ZFP) requires the exchange of instantaneous channel state information and precoded data symbols via a fronthaul network. It causes considerable propagation and processing delays, which degrade performance. This letter analyzes the impact of channel aging on the performance of ZFP in cell-free mMIMO. The aging

We investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive multiple-input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) are configured at the base station (BS) in order to reduce the cost and power consumption. An approximate analytical expression for the downlink achievable rate is derived based on maximum ratio transmission (MRT) and additive

The proliferation of the Internet of Things has enabled implementing control loops using low-capable devices over non-deterministic networks. This letter addresses the use of non-beacon enabled CSMA/CA and motivates the need of minimizing the probability of peak age surpassing a bound, given in terms of two indicators of control over networks: the maximum allowable transmit interval and the maximum

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For polar codes, the statistical breakdown of belief propagation (BP) decoding errors is firstly proposed by Sun et al. The errors are classified into three categories: unconverged errors, false converged errors and oscillation errors, which are corrected by three different post-processing methods. As for the BP List (BPL) decoding, we discover that one type of error can be transformed to another type

In this letter, the performance of millimeter-wave (mmWave) communications with selection combining (SC) over non-identical fluctuating two-ray (FTR) fading channels is analyzed. Consequently, the exact expressions and asymptotic approximations at high signal-to-noise ratio (SNR) regime of the moment generating function (MGF) and probability density function (PDF) of the maximum of non-identical FTR

Visible light communication (VLC) has emerged as a secure, cost-effective, and green supplement to the existing radio frequency (RF) communication systems. However, the performance of a typical VLC link is degraded by the following factors: (a) inter-symbol interference (ISI), which arises due to limited modulation bandwidth of light-emitting diode (LED), (b) the dispersion due to multi-path reflections

In this letter, we develop some generic power allocation strategies in an uplink multiband satellite communications system when nonlinear impairments on the High-Power Amplifier onboard satellite occur. Based on the capacity closed-form expression related to receivers seeing nonlinear interference as a noise, we propose practical and scalable algorithms for three power allocation problems: i) sum-power

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

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

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

In the above letter [1] , the name of the author Ryuichi Tatsukawa was incorrectly provided as Ryuichi Tatasukawa. The author’s name should appear as Ryuichi Tatsukawa.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Conventional orthogonal matching pursuit (OMP) based channel estimation adopts discretized grids to represent path delays, which leads to energy leakage of off-grid paths. From the perspective of linear fitting, utilizing multiple atoms with fractional delays and shortening the distance between these atoms in the off-grid path reconstruction can reduce the energy leakage. To this end, an improved OMP

Ideal sensor response is always desirable in multiple-input multiple-output (MIMO) system. In practical application, however, sensors may be susceptible to unknown mutual coupling (MC), which seriously decreases the angle estimation accuracy. This letter addresses the scenario where MIMO sensors are corrupted by the direction-dependent MC effect. Taking the banded symmetric and Toeplitz characteristics

Generalized Spatial Modulation (GSM) is a promising technique for high data-rates systems where the complexity of the optimal joint detector based on the Maximum Likelihood (ML) criterion increases dramatically in terms of the modulation order and the number of activated transmit antennas. In this letter, a novel detection scheme for GSM systems denoted by O 2 SIC-ML is proposed to achieve the optimal

In this work, a particle-based simulation of two differential detectors for a reactive receiver in mobile molecular communication (MMC) is presented. The received signal is filtered and used for detection. On-off keying (OOK) is used as the modulation in both schemes. The detector in first scheme finds two-time instants in the filtered signal to maximize absolute concentration difference within the

We propose an adaptive reinforcement learning (A-RL) framework to maximize the sum-rate for non-orthogonal multiple access-unmanned aerial vehicle (NOMA-UAV) network. In this framework, Mamdani fuzzy inference system (MFIS) supervises a reinforcement learning (RL) policy based on multi-armed bandits (MAB). UAV as learning agent serves an internet of things (IoT) region. It manages an interference affected

Automatic modulation recognition (AMR) plays an important role in modern wireless communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network serves as the backbone, and four proposed adaptive attention mechanism modules are incorporated. The time-frequency representations of the received signals are utilized as the inputs of the proposed deep learning (DL) network, and

This letter presents our initial results for real-time orthogonal frequency division multiplexing (OFDM) signal modulation classification based on deep learning and software-defined radio. We generate a modulation classification dataset under a dynamic fading channel, including 6 different OFDM modulation signals, and propose a novel neural network with triple-skip residual stack (TRS) as the basic

In this letter, the joint design of user association (UA) and passive beamforming (PBF) has been investigated for heterogeneous networks equipped with reconfigurable intelligent surfaces. Firstly, a closed-form lower bound of ergodic rate is derived using statistical channel state information and adopting the maximum ratio transmission precoding. After that, a joint UA and PBF problem is formulated

We adopt contract theory to design a mechanism for interaction between the content provider (CP) and mobile users (MUs) with asymmetric information. To incentivize MUs to consume more content, a content scheme is proposed in which the CP provides some financial assistance to MUs. This scheme yields both the MUs and CP benefit due to gained utility and advertisement revenue in response to high data

In ultra reliable low latency communications, the demanding requirements on high reliability and low latency make it a challenge to design capable channel codes. In this work, a candidate named low-density BCH-constraint (LDBCH) code is introduced, which generalizes low-density parity-check codes by replacing the single parity check code constraints with the BCH code constraints. Specifically, a design

For the issues (heterogeneity, heavy initial training, etc.) in WiFi fingerprinting-based positioning technology, a circular boundary is proposed in this letter. First, the correctness of the boundary is proved by theoretical derivation. Then, for the fact that only the information of reference points (RPs) is known in real environment, objective functions are set and the relationship between the center

We consider a single carrier communication system subjected to multi-jammer interference, and study optimal power control in the framework of game theory. The Nash and Stackelberg equilibria are derived in closed form. Conditions involving the background noise variance and the transmission cost are established for determining whether the equilibria are unique. It is proven that in the case of multiple

In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading from a group of users with intensive tasks to another group of idle users. To minimize the system latency while cutting down the heavy overhead in exchange of channel state information (CSI), we study the joint design of

We present new results for uplink distributed MIMO with two-stage beamforming (BF). Two- and four-cluster base station layouts are considered with four BF strategies. Stage one considers analog (A) or digital (D) maximal ratio combining (MRC), with digital MRC or digital zero forcing (ZF) in stage two. We denote the resulting BF schemes as A-D, D-D, A-ZF and D-ZF. Using new analytical results for the

This letter analyzes a class of information freshness metrics for large IoT systems in which terminals employ slotted ALOHA to access a common channel. Considering a Gilbert-Elliot channel model, information freshness is evaluated through a penalty function that follows a power law of the time elapsed since the last received update, in contrast with the linear growth of age of information. By means

In this letter, we investigate performance improvements of low-power long-range (LoRa) modulation when a gateway is equipped with multiple antennas. We derive the optimal decision rules for both coherent and non-coherent detections when combining signals received from multiple antennas. To provide insights on how signal combining can benefit LoRa systems, we present expressions of the symbol/bit error

Near-sensor data analytics advocates processing data locally near their sources, rather than gathering them for centralized processing. It can reduce communication costs and is particularly suitable for networked sensor systems whose data are geo-distributed. As most sensors and associated devices have limited computing power, it is desirable for them to collaborate, especially in a decentralized manner

Device activity detection has been extensively investigated for grant-free massive machine-type communications. Instead of using deep Multi-Layer Perception (MLP) networks, this letter proposes a novel convolutional neural network (CNN) architecture for learning device activity from multiple-measurement vectors (MMV). With the use of $1\times 1$ convolutional layers, the proposed CNN could exploit

This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data. Then, the denoising is performed by subtracting the regenerated noise from the noisy input. Hence, nlDAE is more effective than DAE when the noise is simpler to regenerate than the original data. To validate

Visible light communication (VLC) systems have attracted considerable attention in recent years. However, it still faces the challenges of user mobility and random device orientation, which will result in unreliable connection and performance degradation. In this letter, we propose a group-based LED selection aided generalized spatial modulation (GLS-GSM) scheme to tackle this issue by preventing some

The novel concept of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is investigated, where incident signals can be transmitted and reflected to users located at different sides of the surface. In particular, the fundamental coverage range of STAR-RIS aided two-user communication networks is studied. A sum coverage range maximization problem is formulated for

The filterbank multicarrier (FBMC) waveform has better properties in spectral as compared to the Orthogonal Frequency Division Multiplexing (OFDM) and it exhibits good anti-interference performance. We mainly consider an important variety of the FBMC systems, namely FBMC based on offset orthogonal amplitude modulation (FBMC/OQAM). This letter presents an analysis of the residual Doppler effect in the

In line-of-sight massive MIMO, there are use cases where the channel vectors of some users become highly correlated. Highly correlated users lead to a large reduction in the sum-rate of linear and nonlinear precoders with max-min power control. To alleviate the loss in the sum-rate, some users can be dropped and rescheduled. The optimal dropping strategy can be found by an exhaustive search. In this

This letter analyzes the coverage performance of user-centric dense terahertz (THz) networks in which each user is cooperatively served by multiple base stations (BSs). Both dynamic and static clustering approaches are considered, based on which we study the coverage probability of the user-centric THz network by using stochastic geometry. Numerical results are provided to demonstrate the accuracy

This letter presents an early termination scheme for iterative multiuser detection in interleave division multiple access (IDMA) systems. Instead of handling an entire frame as a whole, each bit in the frame is separately considered. If further iterations are found to be dispensable in determining a bit, the estimate of the bit is immediately finalized, and all the calculations associated with the

A multiple access (MA) soft-decision (SD) decoder based on the cost rankings of the channel output matrix, is proposed and applied in an optical wireless communication system in which permutation-based optical codes (POCs) are used. The proposed decoder determines the possible transmitted MA codewords by implementing the Hungarian and Murty’s algorithms to solve and rank the costs of all the possible