This paper proposes a random network model for device-to-device (D2D) underlaid cellular system using stochastic geometry and develops centralized distributed power control algorithms. The goal of is twofold: ensure that the users have sufficient coverage probability by limiting interference created D2D users, while scheduling as many links possible. For method, optimal on-off strategy proposed, which maximizes sum rate links. Expressions are derived probabilities cellular, links, in terms...

Thanks to the abrupt advances in semiconductor technologies, particularly terms of operating frequency, last decade has seen various efforts and trials attempts achieve high-throughput wireless communications at terahertz (THz) frequencies. Through use several potential device not only III-V heterojunction bipolar high-electron-mobility transistors but also silicon complementary metal-oxide-semiconductors photonic high data rates 100 Gbps or more have been successfully demonstrated....

In this paper, we study a network information flow problem for multiple-input-multiple-output (MIMO) Gaussian wireless with three users each equipped M antennas and single intermediate relay N antennas. network, user intends to convey independent messages two different via the while receiving from other users. This is generalized version of two-way channel three-user case. We will call it "MIMO Y channel." For MIMO channel, show that capacity 3M log(SNR) + o(log(SNR)) if ≥ ⌈3M/2⌉ by using...

The interference alignment (IA) is a promising technique to effectively mitigate interferences in wireless communication systems. To show the potential benefits of such an IA scheme, this letter focuses on two-cell multiple-input multiple-output (MIMO) Gaussian interfering broadcast channels (MIMO-IFBC) with M transmit antennas and N receive antennas. It corresponds downlink scenario for cellular networks two base stations (BSs) per BS, users user, cell-boundary each BS. In scenario, we...

This paper characterizes the performance of coordinated beamforming with dynamic clustering. A downlink model based on stochastic geometry is put forth to analyze such base station (BS) coordination strategy. Analytical expressions for complementary cumulative distribution function (CCDF) instantaneous signal-to-interference ratio (SIR) are derived in terms relevant system parameters, chiefly number BSs forming clusters, antennas per BS, and pathloss exponent. Utilizing this CCDF, pilot...

This paper presents a low-complexity near-maximum-likelihood-detection (near-MLD) algorithm called one-bit sphere decoding for an uplink massive multiple-input multiple-output system with analog-to-digital converters. The idea of the proposed is to estimate transmitted symbol vector sent by users (a codeword vector) searching over sphere, which contains collection vectors close received signal at base station in terms weighted Hamming distance. To reduce computational complexity construction...

This paper considers a multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we propose novel communication framework that is inspired by supervised learning. The key idea of the proposed to learn non-linear input-output formed concatenation wireless channel and quantization function used at ADCs, for data detection. framework, conventional estimation process replaced learning process, in which conditional probability mass...

In this paper, a new optimization framework is presented for the joint design of user selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple-output (MU-MIMO) systems when imperfect channel state information at transmitter (CSIT) available. By representing variables higher-dimensional space, weighted sum-spectral efficiency maximization formulated as product Rayleigh quotients. Although still non-convex problem, computationally efficient algorithm,...

A relentless trend in wireless communications is the hunger for bandwidth, and fresh bandwidth only to be found at ever higher frequencies. While 5G systems are seizing mmWave band, attention of researchers shifting already terahertz range. In that distant land tiny wavelengths, antenna arrays can serve more than power-enhancing beamforming. Defying lower-frequency wisdom, spatial multiplexing becomes feasible even line-of-sight conditions. This article reviews underpinnings this phenomenon,...

In this paper, we consider K-user Y channels where K users simultaneously exchange messages with each other via an intermediate relay. Degrees of freedom (DOF) multiple antennas is not known in general. Investigation the feasibility conditions signal space alignment for network coding initial step addressing open problem. We verify that when user i M_i sends K-1 independent to through a relay N and message achieves DOF d, total dK (K-1) attained if Mi ≥ d(K-1), {dK(K-1)/2} N<; min {Mi+Mj...

The authors investigate the feasibility of classifying different human activities using ultra-wide band (UWB) radar. Eight subjects performing eight are measured a UWB include walking, running, rotating, punching, jumping, transitioning between standing and sitting, crawling still. dimension returns is reduced principal component analysis (PCA). time-varying signatures characterised within time window through observing variation PCA coefficients. A support vector machine (SVM) used to...

The use of one-bit analog-to-digital converters (ADCs) at a receiver is power-efficient solution for future wireless systems operating with large signal bandwidth and/or massive number receive radio frequency chains. This solution, however, induces high channel estimation error and therefore makes it difficult to perform the optimal data detection that requires perfect knowledge likelihood functions receiver. In this paper, we propose function learning method multiple-input multiple-output...

This paper establishes an upper bound on the capacity of line-of-sight multiantenna channels over all possible antenna arrangements and shows that uniform linear arrays (ULAs) with SNR-dependent rotation transmitter and/or receiver can closely approach such capacity-and in fact achieve it at low high SNR, asymptotically numbers antennas. Then, as alternative to mechanically rotating ULAs, we propose electronically select among multiple ULAs having a radial disposition either or receiver,...

Satellite networks are promising to provide ubiquitous and high-capacity global wireless connectivity. Traditionally, satellite modeled by placing satellites on a grid of multiple circular orbit geometries. Such network model, however, requires intricate system-level simulations evaluate coverage performance, analytical understanding the is limited. Continuing success stochastic geometry in tractable analysis for terrestrial networks, this paper, we develop novel models that using geometry....

This paper deals with design of a amplify-and- forward (AF) relay beamforming matrix in two-way protocol when node has multiple antennas. Two-way relaying is promising since it provides enhanced spectral efficiency compared to one-way protocols. In this we derive the achievable sum-rate upper bound AF scheme and propose maximizing destination have perfect knowledge channel state information (CSI) for backward channels. The solution obtained by using proposed algorithm, general power...

In this paper, we study a new network information flow for multiple-input multiple-output (MIMO) wireless system with three users and single intermediate relay which of each is equipped multiple antennas. system, user wants to convey independent messages different two via the while receiving from other by using only time slots. This generalized version two-way channel more than case. We will call as dasiaMIMO Y channel.psila To achieve much higher multiplexing gain in MIMO channel, propose...

Accurate channel direction information is essential to achieve considerable capacity gains in multiple-input multiple-output (MIMO) wireless communication systems. Limited feedback using a polar-cap differential codebook which utilizes the temporal correlation single-output (MISO) channels presented this paper. We first describe general properties of and then explain design methodology size given coefficient. also propose an enhancement suitable for spatially correlated channel. compare with...

This paper considers large random wireless networks, where transmit-and-receive node pairs communicate within a certain range while sharing common spectrum. By modeling the spatial locations of nodes as Poisson point process, analytical expressions for ergodic spectral efficiency typical pair are derived function channel state information available at receiver (CSIR) in terms relevant system parameters: density communication links, number receive antennas, path loss exponent, and operating...

This paper considers a multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we propose novel detection framework that performs data symbol without explicitly knowing channel state information at receiver. The underlying idea of the proposed is to exploit supervised learning. Specifically, during training, approach sends sequence symbols as pilots so receiver learns nonlinear function determined by both matrix and quantization...

This paper considers an uplink multiuser multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs), in which K users equipped a single-antenna communicate one base station (BS) N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> antennas. In this system, we present novel MIMO detection framework inspired by coding theory. The key idea of the proposed is to create code C length 2N over spatial...

We consider a downlink cellular network where multi-antenna base stations (BSs) transmit data to single-antenna users by using one of two linear precoding methods with limited feedback: 1) maximum ratio transmission (MRT) for serving single user or 2) zero forcing (ZF) multiple users. The BS and locations are drawn from Poisson point process, allowing expressions the signal-to-interference coverage probability ergodic spectral efficiency be derived as function system parameters, such number...

A reliable support detection is essential for a greedy algorithm to reconstruct sparse signal accurately from compressed and noisy measurements. This paper proposes novel method algorithms, which referred as "\textit{maximum posteriori (MAP) detection}". Unlike existing methods that identify indices with the largest correlation value in magnitude per iteration, proposed selects them likelihood ratios computed under true null hypotheses by simultaneously exploiting distributions of sensing...

In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented consists of gradient compression for wireless devices and reconstruction parameter server (PS). Our strategy is to sequentially perform block sparsification, dimensional reduction, quantization. By leveraging both dimension reduction quantization, our can achieve higher ratio than one-bit compression. For accurate aggregation local gradients from the...