Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating controllable propagation environment. In this paper, we propose to invoke an IRS at the cell boundary multiple cells assist downlink transmission cell-edge users, whilst mitigating inter-cell interference, which is crucial issue in multicell systems. We aim for maximizing weighted sum rate (WSR) all users through jointly optimizing active precoding matrices base stations (BSs)...

Massive multiple-input multiple-output (MIMO) is envisioned to offer considerable capacity improvement, but at the cost of high complexity hardware. In this paper, we propose a low-complexity hybrid precoding scheme approach performance traditional baseband zero-forcing (ZF) (referred as full-complexity ZF), which considered virtually optimal linear in massive MIMO systems. The proposed scheme, named phased-ZF (PZF), essentially applies phase-only control RF domain and then performs...

We investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective. The design goal is to maximize system secrecy rate subject source transmit power constraint and unit modulus constraints imposed on phase shifts at IRS. To solve this complicated non-convex problem, we develop an efficient alternating algorithm where solutions covariance of shift matrix IRS are achieved in closed form semi-closed form,...

The widely deployed cellular network, assisted with device-to-device (D2D) communications, can provide a promising solution to support efficient and reliable vehicular communications. Fast channel variations caused by high mobility in environment need be properly accounted for when designing resource allocation schemes the D2D-enabled networks. In this paper, we perform spectrum sharing power based only on slowly varying large-scale fading information of wireless channels. Pursuant differing...

An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support user equipments (UEs) on ground. We aim to jointly optimize geographical fairness among all UEs, of each UAV' UE-load overall energy consumption UEs. The above optimization problem includes both integer continues variables it challenging solve. To address problem, a multi-agent deep reinforcement learning based...

To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed communication learning. Specifically, edge learning (EL) enables local model training on geographically disperse nodes minimizes the need for frequent exchange. However, current design separating EL deployment optimization does not yet reap promised benefits signal processing, sometimes suffers from excessive signalling overhead, long processing delay,...

This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple RISs are spatially to serve users and energy efficiency is maximized by dynamically controlling on-off status each RIS as well optimizing reflection coefficients matrix RISs. posed joint optimization transmit beamforming control, whose goal maximize under minimum rate constraints users. To solve problem, two...

Research and development on the next generation wireless systems, namely 5G, has experienced explosive growth in recent years. In physical layer (PHY), massive multiple-input-multiple-output (MIMO) technique use of high GHz frequency bands are two promising trends for adoption. Millimeter-wave (mmWave) such as 28 GHz, 38 64 71 which were previously considered not suitable commercial cellular networks, will play an important role 5G. Currently, most 5G research deals with algorithms...

This letter investigates a power allocation problem in downlink single-input single-output non-orthogonal multiple access (NOMA) system. Our goal is to maximize the sum rate of users subject minimum user requirements. We rigorously prove optimal decoding order, and show that maximization convex, which guarantees globally solution. Numerical results validate performance gain by proposed NOMA compared with conventional schemes.

This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless communication system with energy harvesting, where the UAV transfers to users in half duplex or full duplex, and harvest for data transmission UAV. We minimize total consumption of while accomplishing minimal requests users. The original optimization problem is decomposed into two subproblems: path planning subproblem minimization fixed planning. For subproblem, optimal visiting order obtained by using dual method...

In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) downlink system with hardware impairments. An extended error vector magnitude (EEVM) model is utilized to characterize impact radio-frequency (RF) impairments at access point (AP) phase noise considered IRS. We show that limited due even when numbers AP antennas IRS elements grow infinitely large, which in contrast conventional case ideal...

In this paper, we consider a platform of flying mobile edge computing (F-MEC), where unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and they enable task offloading from user (UE). We aim to minimize energy consumption all UEs via optimizing association, resource allocation the trajectory UAVs. To end, first propose Convex optimizAtion based Trajectory control algorithm (CAT), which solves problem in an iterative way by using block coordinate descent (BCD)...

In this article, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), vehicles (GVs), and unmanned aerial (UAVs), all with the cloud installed to enable user equipments (UEs) or Internet of Things (IoT) devices intensive tasks offload. Our objective is obtain an online offloading algorithm minimize energy consumption UEs, by jointly optimizing positions GVs UAVs, association resource allocation in real time, while considering dynamic environment....

Internet-of-Everything (IoE) has gradually been recognized as an integral part of future wireless networks. In IoE, there can be ultra-massive number smart devices various types to served, imposing multi-dimensional requirements on communication, sensing, and security. this article, we provide a tutorial overview the promising intelligent reflection communication (IRC) technologies, including reconfigurable surface (RIS) ambient backscatter (AmBC), support IoE applications beyond...

Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system can offer high spectral and energy efficiency, it requires to feedback downlink channel state information (CSI) from users base station (BS), in order fulfill precoding design at BS. However, large dimension of CSI matrices MIMO makes very challenging, is urgent compress CSI. To this end, paper proposes a novel dilated convolution based network, namely <bold...

In this paper, we investigate the joint impact of task priority and mobile computing service on edge (MEC) networks, in which one unmanned aerial vehicle (UAV) provides to help compute tasks from users multiple hotspots where is time-varying. For such a system, firstly measure system performance by utility multiples users, effect wide-range incorporated. We then analyze network wireless bandwidth UAV computational capability performance, optimize through hotspot selection user offloading. To...

Beamforming design has been widely investigated for integrated sensing and communication (ISAC) systems with full-duplex (FD) half-duplex (HD) communication, where the base station (BS) transmits receives radar signals simultaneously while operates in either downlink or uplink. To achieve higher spectral efficiency, this paper, we extend existing ISAC beamforming to a general case by considering FD capability both communication. Specifically, consider an system, BS performs target detection...

This letter investigates an uplink power control problem for unmanned aerial vehicles (UAVs)-assisted wireless communications. We jointly optimize the UAV's flying altitude, antenna beamwidth, location, and ground terminals' allocated bandwidth, transmit to minimize sum subject minimal rate demand. An iterative algorithm is proposed with low complexity obtain a suboptimal solution. Numerical results show that can achieve good performance in terms of saving.

Because of its high storage density with superior scalability, low integration cost and reasonably access speed, spin-torque transfer random memory (STT RAM) appears to have a promising potential replace SRAM as last-level on-chip cache (e.g., L2 or L3 cache) for microprocessors. Due unique operational characteristics device magnetic tunneling junction (MTJ), STT RAM is inherently subject write latency versus read tradeoff that determined by the cell size. This paper first quantitatively...

In a multiple-input multiple-output (MIMO) system, the availability of channel state information (CSI) at transmitter is essential for performance improvement. Recent convolutional neural network (NN)-based techniques show competitive ability in realizing CSI compression and feedback. By introducing new NN architecture, we enhance accuracy quantized feedback MIMO communications. The proposed architecture invokes module named long short-term memory that admits to benefit from exploiting...

This letter investigates a downlink power control strategy for visible light communication (VLC) systems with non-orthogonal multiple access. Our goal is to maximize sum throughput of the multiuser VLC subject both user fairness and unique intensity constraints optical modulations. Though original problem nonconvex, we first transform it into an equivalent convex one by introducing auxiliary variables applying variable transformation. Then, present optimal algorithm low complexity. Numerical...

This paper studies energy efficient resource allocation for a machine-to-machine enabled cellular network with nonlinear harvesting, especially focusing on two different multiple access strategies, namely nonorthogonal (NOMA) and time division (TDMA). Our goal is to minimize the total consumption of via joint power control while taking into account circuit consumption. For both NOMA TDMA we show that it optimal each machine type communication device (MTCD) transmit minimum throughput, MTCD...

Unmanned aerial vehicles (UAVs) for wireless communications have rapidly grown into a research hotspot as the mass production of high-performance, low-cost, and intelligent UAVs becomes practical. In meantime, fifth generation (5G) communication Internet-of-Things (IoT) technologies are being standardized planned global deployment. During this process, becoming an important part 5G IoT, expected to play crucial role in enabling more functional diversity communications. paper, we first...

This paper investigates the problem of resource allocation for reconfigurable intelligent surface (RIS)-assisted wireless communication system with rate splitting multiple access (RSMA). In this network, energy efficiency network is maximized by controlling phase shifts RIS and beamforming base station. posed as a joint optimization transmit control, whose goal to maximize under minimum constraints users. To solve problem, an iterative algorithm proposed through solving subproblem...

Abstract A digital-coding programmable metasurface (DCPM) is a type of functional system that composed subwavelength-scale digital coding elements with opposite phase responses. By configuring the elements, DCPM can construct dynamic near-field image patterns in which intensity each pixel be dynamically and independently modulated. Thus, perform both spatial temporal modulations. Here, this advantage used to realize multichannel direct transmissions information. Three points are selected...