Consider the MIMO interfering broadcast channel whereby multiple base stations in a cellular network simultaneously transmit signals to group of users their own cells while causing interference other cells. The basic problem is design linear beamformers that can maximize system throughput. In this paper we propose transceiver algorithm for weighted sum-rate maximization based on iterative minimization mean squared error (MSE). proposed only needs local knowledge and converges stationary...

For the past couple of decades, numerical optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. However, algorithms often entail considerable complexity, which creates serious gap between theoretical design/analysis real-time processing. To address this challenge, we propose new learning-based approach. The key idea is to treat input output allocation algorithm an unknown non-linear mapping use deep neural...

This paper studies a multi-user multiple-input single-output (MISO) downlink system for simultaneous wireless information and power transfer (SWIPT), in which set of single-antenna mobile stations (MSs) receive energy simultaneously via splitting (PS) from the signal sent by multi-antenna base station (BS). We aim to minimize total transmission at BS jointly designing transmit beamforming vectors PS ratios all MSs under their given signal-to-interference-plus-noise ratio (SINR) constraints...

For decades, optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. However, these algorithms often require considerable number of iterations for convergence, which poses challenges real-time processing. In this work, we propose new learning-based approach management. The key idea is to treat the input output allocation algorithm an unknown non-linear mapping use deep neural network (DNN) approximate it. If...

This paper considers a basic MIMO information-energy broadcast system, where multi-antenna transmitter transmits information and energy simultaneously to receiver dual-functional which is also capable of decoding information. Due the open nature wireless medium dual purpose transmission, secure transmission while ensuring efficient harvesting critical issue for such system. Providing that physical layer security techniques are adopted we study beamforming design maximize achievable secrecy...

In this paper, we investigate a novel unmanned aerial vehicle (UAV)-enabled secure communication system. Two UAVs are applied in system where one UAV moves around to communicate with multiple users on the ground using orthogonal time-division access while other area jams eavesdroppers protect communications of desired users. Specifically, maximize minimum worst-case secrecy rate among within each period by jointly adjusting trajectories and user scheduling under maximum speed constraints,...

Optimization theory assisted algorithms have received great attention for precoding design in multiuser multiple-input multiple-output (MU-MIMO) systems. Although the resultant optimization are able to provide excellent performance, they generally require considerable computational complexity, which gets way of their practical application real-time In this work, order address issue, we first propose a framework deep-unfolding, where general form iterative algorithm induced deep-unfolding...

Many contemporary signal processing, machine learning and wireless communication applications can be formulated as nonconvex nonsmooth optimization problems. Often there is a lack of efficient algorithms for these problems, especially when the variables are nonlinearly coupled in some constraints. In this work, we propose an algorithm named penalty dual decomposition (PDD) difficult problems discuss its various applications. The PDD double-loop iterative algorithm. Its inner iteration used...

Node localization is essential to most applications of wireless sensor networks (WSNs). In this paper, we consider both range-based node and range-free with uncertainties in range measurements, radio range, anchor positions. First, a greedy optimization algorithm, named sequential (SGO) presented, which more suitable for distributed than the classical nonlinear Gauss-Seidel algorithm. Then unified framework proposed localization, two convex formulations are obtained based on semidefinite...

Consider the multiple-input multiple-output (MIMO) interfering broadcast channel whereby multiple base stations in a cellular network simultaneously transmit signals to group of users their own cells while causing interference each other. The basic problem is design linear beamformers that can maximize system throughput. In this paper, we propose transceiver algorithm for weighted sum-rate maximization based on iterative minimization mean-square error (MSE). proposed only needs local...

In this paper, a cooperative localization algorithm is proposed that considers the existence of obstacles in mobility-assisted wireless sensor networks (WSNs). An optimal movement scheduling method with mobile elements (MEs) to address limitations static WSNs node localization. scheme, anchor cooperates nodes and moves actively refine location performance. It takes advantage cooperation between MEs sensors while, at same time, taking into account relay availability make best use beacon...

Owing to abundant spectrum resources, millimeter wave (mmwave) communication promises provide Gbps data rates, which, however, may be restricted by large path-loss. Thus, antenna arrays are commonly used along with beam alignment (BA) as an important step achieve the array gain. Efficient BA relies on training codebook design. In this paper, we propose a new hierarchical uniform performance low overhead. To better elaborate design principle, single-path channel model is considered first...

This paper considers a power splitting based multiuser multiple-input-single-output (MISO) downlink system with simultaneous wireless information and transfer, where each single antenna receiver splits the received signal into two streams of different for decoding harvesting energy separately. Assuming that most common zero-forcing (ZF) beamforming scheme is employed by base station, we aim to maximize efficiency in bits per Joule joint under both signal-to-interference-plus-noise ratio...

This paper considers a power splitting-based MISO interference channel for simultaneous wireless information and transfer (SWIPT), where each single antenna receiver splits the received signal into two streams of different decoding harvesting energy separately. We aim to minimize total transmission by joint beamforming splitting (JBPS) under both signal-to-interference-plus-noise ratio (SINR) constraints (EH) constraints. The JBPS problem is nonconvex has not yet been well addressed in...

As a key enabling technology for 5G wireless, millimeter wave (mmWave) communication motivates the utilization of large-scale antenna arrays achieving highly directional beamforming. However, high cost and power consumption RF chains stand in way adoption optimal fully digital precoding large-array systems. To reduce number while still maintaining spatial multiplexing gain large array, hybrid architecture has been proposed mmWave systems received considerable interest both industry academia....

This work studies the joint problem of power and trajectory optimization in a rotary-wing unmanned aerial vehicle (UAV)-enabled mobile relaying system. In considered system, order to provide convenient sustainable energy supply UAV relay, we consider deployment beacon (PB) which can wirelessly charge it is realized by properly designed laser charging To this end, propose an efficiency (the weighted sum during information transmission wireless efficiency) maximization optimizing source/UAV/PB...

The joint design of hybrid beamforming matrices is conceived for multiuser mm-wave full-duplex (FD) multiple-input multiple-output (MIMO) relay-aided systems in the presence realistic channel state information (CSI) errors. Specifically, considering a probabilistic CSI error model, we maximize system's worst-case sum rate by jointly optimizing base station's (BS's) analog and digital matrices, plus receive transmit relay station (RS) as well its amplify-and-forward matrix under practical...

Signal recognition is one of the significant and challenging tasks in signal processing communications field. It often a common situation that there's no training data accessible for some classes to perform task. Hence, as widely-used image field, zero-shot learning (ZSL) also very important recognition. Unfortunately, ZSL regarding this field has hardly been studied due inexplicable semantics. This paper proposes framework, reconstruction convolutional neural networks (SR2CNN), address...

Federated learning (FL) has been recognized as a viable distributed paradigm which trains machine model collaboratively with massive mobile devices in the wireless edge while protecting user privacy. Although various communication schemes have proposed to expedite FL process, most of them assumed ideal channels provide reliable and lossless links between server clients. Unfortunately, practical systems limited radio resources such constraint on training latency constraints transmission power...

Precoding design for maximizing weighted sum-rate (WSR) is a fundamental problem downlink of massive multi-user multiple-input multiple-output (MU-MIMO) systems. It well-known that this generally NP-hard due to the presence interference. The minimum mean-square error (WMMSE) algorithm popular approach WSR maximization. However, its computational complexity cubic in number base station (BS) antennas, which unaffordable when BS equipped with large antenna array. In paper, we consider...

Nonconvex constrained stochastic optimization has emerged in many important application areas. Subject to general functional constraints, it minimizes the sum of an expectation function and a nonsmooth regularizer. Main challenges arise because stochasticity random integrand possibly nonconvex constraints. To address these issues, we propose momentum-based linearized augmented Lagrangian method (MLALM). MLALM adopts single-loop framework incorporates recursive momentum scheme compute...

The performance of full-duplex (FD) relay systems can be greatly impacted by the self-interference (SI) at relays. By exploiting multi-antenna in FD systems, spectral efficiency enhanced through spatial SI mitigation. This paper studies joint source transmit beamforming and processing to achieve rate maximization for MIMO amplify-and-forward (AF) with consideration delay. problem is difficult solve due mainly constraint induced In this paper, we first present a sufficient condition under...

The nonnegative matrix factorization (NMF) has been a popular model for wide range of signal processing and machine learning problems. It is usually formulated as nonconvex cost minimization problem. This work settles the convergence issue algorithm based on alternating direction method multipliers proposed in Boyd et al 2011. We show that converges globally to set KKT solutions whenever certain penalty parameter ρ satisfies > 1. further extend its analysis problem where observation contains...