<![CDATA[ IEEE Wireless Communications Letters - new TOC ]]>
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TOC Alert for Publication# 5962382 2018March 22<![CDATA[Table of contents]]>71C1C4271<![CDATA[IEEE Wireless Communications Letters]]>71C2C272<![CDATA[Exemplary Reviewers 2017]]>711145<![CDATA[From Cellular Decision Making to Adaptive Handoff in Heterogeneous Wireless Networks]]>Escherichia coli cell in a time-varying environment. With the goal of guaranteeing the quality of service (QoS), we formulate a utility function that covers the demands of a user’s diverse applications and the time-varying network conditions. With this utility function, we map the dynamic heterogeneous environment to a cellular decision-making space, such that the user is induced by a cellular attractor selection mechanism to make distributed and robust handoff decisions. Furthermore, we also present a multi-attribute decision-making network selection algorithm for any user to determine an access network, which is integrated with the proposed bio-inspired decision-making mechanism. Simulation results are supplemented to show that the proposed method can achieve better QoS and fairness when it is compared with conventional methods.]]>7125376<![CDATA[Area Spectral Efficiency Analysis of Multi-Antenna Networks Modeled by Ginibre Point Process]]>7169375<![CDATA[Approximate BER Analysis for MAC Systems]]>${K}$ source nodes which transmit simultaneously to a multiple-antenna destination node. The system performance is assessed for different scenarios in terms of number of antennas and source nodes. Results reveal that the analytical BER curves fit very well with the simulations, which indicates that the approach presented in this letter is appropriate to be used for BER analysis.]]>711013357<![CDATA[Spectral Efficiency of Multipair Massive MIMO Two-Way Relaying With Hardware Impairments]]>${N}$ . The relay consists of low-cost components that suffer from hardware impairments. A large-scale approximation of the spectral efficiency with maximum ratio processing is derived in closed form, and the approximation is tight as ${N to infty }$ . It is revealed that for a fixed hardware quality, the impact of the hardware impairments vanishes asymptotically when ${N}$ grows large. Moreover, the impact of the impairments may even vanish when the hardware quality is gradually decreased with ${N}$ , if a scaling law is satisfied. Finally, numerical results validate that multipair massive MIMO two-way relaying systems are robust to hardware impairments at the relay.]]>711417311<![CDATA[Distributed Cooperative Localization for Mobile Wireless Sensor Networks]]>711821291<![CDATA[Optimal Power Control for NOMA Wireless Networks With Relays]]>712225401<![CDATA[On the SIR Meta Distribution for Poisson Networks With Interference Cancellation]]>$b$ th moment of the meta distribution and its beta distribution approximation and some useful bounds are validated. The conditions for the mean local delay to be finite are also stated. The results show that IC improves the performance not only in terms of the mean but also in terms of the variance of the meta distribution.]]>712629565<![CDATA[Resource Allocation in Reverse TDD Wireless Backhaul HetNets With 3D Massive Antennas]]>713033423<![CDATA[Optimal Power Control in Cognitive Satellite Terrestrial Networks With Imperfect Channel State Information]]>713437387<![CDATA[3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements]]>713841341<![CDATA[Capacity Scaling for D2D Aided Cooperative Relaying Systems Using NOMA]]>714245483<![CDATA[Multi-User Detection Using ADMM-Based Compressive Sensing for Uplink Grant-Free NOMA]]>714649264<![CDATA[TCM for OFDM-IM]]>715053544<![CDATA[Retrodirective Multi-User Wireless Power Transfer With Massive MIMO]]>retrodirective beamforming technique, where all ERs send a common beacon signal simultaneously to the ET in the uplink and the ET simply conjugates and amplifies its received sum-signal and transmits to all ERs in the downlink for WPT. We show that such a low-complexity scheme achieves the massive multiple-input multiple-output energy beamforming gain. However, a “doubly near-far” issue exists due to the round-trip (uplink beacon and downlink WPT) signal propagation loss where the harvested power of a far ER from the ET can be significantly lower than that of a near ER if the same uplink beacon power is used. To tackle this problem, we propose a distributed uplink beacon power update algorithm, where each ER independently adjusts the beacon power based on its current harvested power in an iterative manner. It is shown that the proposed algorithm converges quickly to a unique fixed-point solution, which helps achieve the desired user fairness with best efforts.]]>715457477<![CDATA[D2D Communication for Adaptive Streaming Exploiting White Spaces in Transmissions of the Cellular Network]]>715861400<![CDATA[A Space-Time Transmission Scheme for Large MIMO Systems]]>${10}^{{6}}$ can be achieved; however, such a high value of diversity order is not required in practical systems. Therefore, an STTS with good data rate, parsimoniously utilized temporal dimensions, and symbol-wise decoding is essentially required for practical large MIMO systems. In this letter, we emphasize design of a new STTS by relaxing the constraint of achieving full spatial diversity. In the proposed STTS, the data rate of the large MIMO system is increased at the expense of the reduction in spatial diversity order. An approximate expression of symbol error rate of the proposed system is obtained-based on the moment generating function of the instantaneous received signal-to-noise ratio. Further, it is shown that the diversity order of the proposed STTS-based system is one less than the number of receive antennas.]]>716265302<![CDATA[Improved Layered Message Passing Algorithms for Large-Scale Generalized Spatial Modulation Systems]]>716669314<![CDATA[Channel Access Method Classification for Cognitive Radio Applications]]>717073495<![CDATA[Diversity Order Results for MIMO Optical Wireless Communications]]>717477410<![CDATA[Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks]]>717881369<![CDATA[Modeling Cellular-to-UAV Path-Loss for Suburban Environments]]>7182851376<![CDATA[Receiver Originated Physical-Layer Robust Secure Transmissions in Wireless Systems]]>718689262<![CDATA[Wireless Energy and Information Transmission in FSO and RF-FSO Links]]>719093345<![CDATA[X-Duplex Radios: Flexible Switching Between Full-Duplex and Half-Duplex]]>719497489<![CDATA[Golden Angle Modulation]]>${pi mathrm {e}/6}$ (≈ 1.53 dB) with increasing signal-to-noise-ratio compared to the additive white Gaussian noise Shannon capacity. With inspiration gained from special (leaf, flower petal, and seed) packing arrangements (spiral phyllotaxis) found among plants, a novel, shape-versatile, circular symmetric, modulation scheme, the golden angle modulation (GAM) is introduced. Disc-shaped, and complex Gaussian approximating bell-shaped, GAM-signal constellations are considered. For bell-GAM, a high-rate approximation, and a mutual information optimization formulation, are developed. Bell-GAM overcomes the asymptotic shaping-loss seen in QAM, and offers Shannon capacity approaching performance. Transmitter resource limited links, such as space probe-to-earth, and mobile-to-basestation, are cases where GAM could be particularly valuable.]]>7198101567<![CDATA[Impact of Relay’s Eavesdropping on Untrusted Amplify-and-Forward Networks Over Nakagami- $m$ Fading]]>${m}$ fading channels, we derive tight closed-form and asymptotic expressions for the lower and upper bounds of the secrecy outage probability (SOP). Our results explicitly show that a secrecy diversity order of ${min ({m_{1}}, {m_{2}}/{2})}$ in terms of the SOP is achieved, where ${m_{1}}$ and ${m_{2}}$ are the respective integer fading parameters of the source-relay and relay-destination links. Afterwards, we propose an asymptotically optimal power allocation (OPA) scheme that minimizes the SOP. Numerical and simulation results show that the proposed OPA offers significant improvement on the SOP performance, especially in the case of ${m_{1}> m_{2} /2}$ .]]>71102105486<![CDATA[Performance of SWIPT-Based Differential AF Relaying Over Nakagami- $m$ Fading Channels With Direct Link]]>${m}$ fading and a direct link. We provide a closed-form expression for the probability density function of the signal-to-noise ratio (SNR) of the two-hop (TH) link based on a high SNR approximation. Novel closed-form approximate average bit-error rate expressions are derived for both the single TH scenario and the scenario with a linear combiner for the TH link and a direct link. The impacts of different values of the fading parameter ${m}$ on error rate performance are also investigated. Analyses are verified through Monte Carlo simulations.]]>71106109361<![CDATA[Raptor Codes for Higher-Order Modulation Using a Multi-Edge Framework]]>71110113487<![CDATA[Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems]]>71114117702<![CDATA[A Hybrid Tomlinson–Harashima Transceiver Design for Multiuser mmWave MIMO Systems]]>71118121602<![CDATA[Optimum QoS-Aware Beamformer Design for Full-Duplex Relay With Self-Energy Recycling]]>71122125516<![CDATA[How to Reduce Unexpected eMBMS Session Disconnection: Design and Performance Analysis]]>711261291081<![CDATA[Resource Allocation for D2D Communications Underlaying a NOMA-Based Cellular Network]]>71130133338<![CDATA[Sparsity-Aware Ordered Successive Interference Cancellation for Massive Machine-Type Communications]]>sporadic device activities, compressed sensing-based multi-user detection (CS-MUD) is used to recover sparse multi-user vectors. In CS-MUD, multi-user vectors are detected based on a sparsity-aware maximum a posteriori probability (S-MAP) criterion. To reduce the computational complexity of S-MAP detection, a sparsity-aware successive interference cancellation (SA-SIC) technique can be used. However, SA-SIC does not perform well without proper layer sorting due to error propagation. In this letter, we propose a novel sparsity-aware ordered SIC scheme that finds the optimal detection order based on the activity probabilities and channel gains of devices. Simulation results verify that the proposed scheme greatly improves the performance of SA-SIC.]]>71134137413<![CDATA[Graph-Based Path Selection and Power Allocation for DF Relay-Aided Transmission]]>71138141366<![CDATA[IEEE Communications Society Information]]>71C3C368