<![CDATA[ IEEE Transactions on Communications - new TOC ]]>
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TOC Alert for Publication# 26 2018March 19<![CDATA[Table of contents]]>663C1C4317<![CDATA[IEEE Communications Society]]>663C2C297<![CDATA[Techniques for Improving the Finite Length Performance of Sparse Superposition Codes]]>6639059171848<![CDATA[Design and Analysis of Time-Invariant SC-LDPC Convolutional Codes With Small Constraint Length]]>6639189311522<![CDATA[Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations]]>6639329461317<![CDATA[Cooperative NOMA Systems With Partial Channel State Information Over Nakagami- $m$ Fading Channels]]>$m$ fading channels, where both decode-and-forward (DF) and amplify-and-forward (AF) protocols are considered. We assume that only statistical channel state information is available to the system and used to determine the decoding order of cell-edge users’ data. For DF relaying, both ergodic sum rate and outage probability are solved in closed form. For AF relaying, closed-form asymptotic ergodic sum rate and outage probability are provided. Numerical results verify the accuracy of the analysis and demonstrate that the DF protocol significantly outperforms the AF one in terms of ergodic sum rate even the channel’s near–far effect weakens. In addition, the DF protocol exhibits better outage performance than the AF one at low signal-to-noise ratio (SNR), though the superiority becomes negligible with the increasing SNR.]]>6639479581348<![CDATA[Relay Selection for Multi-Channel Cooperative Multicast: Lexicographic Max–Min Optimization]]>6639599711042<![CDATA[Cooperative Secure Communication in Two-Hop Buffer-Aided Networks]]>663972985914<![CDATA[Spatial Modulation for More Spatial Multiplexing: RF-Chain-Limited Generalized Spatial Modulation Aided MM-Wave MIMO With Hybrid Precoding]]>$ell _infty$ relaxation to handle the non-convex constraint imposed by analog precoding. Finally, the proposed scheme is shown via simulations to outperform state-of-the-art mm-wave MIMO schemes in terms of achievable SE.]]>6639869981575<![CDATA[A Game Theoretic Approach to Setting the Pilot Power Ratio in Multi-User MIMO Systems]]>66399910121913<![CDATA[Omnidirectional Precoding and Combining Based Synchronization for Millimeter Wave Massive MIMO Systems]]>$K$ time slots taking for synchronization should be constant for any spatial direction. Then, we derive the optimal synchronization detector based on generalized likelihood ratio test. By utilizing this detector, we analyze the effect of the precoding and combining matrices to the missed detection probability and the false alarm probability, respectively, and present the corresponding conditions that should be satisfied. It is shown that, both of the precoding and combining matrices should guarantee the perfect omnidirectional coverage at each time slot, i.e., the average transmission power at each time slot is constant for any spatial direction, which is stricter than the second basic requirement mentioned earlier. We also show that such omnidirectional precoding matrices and omnidirectional combining matrices exist only when both of the number of transmit streams and the number of receive streams are equal to or greater than two. In this case, we propose to utilize Golay complementary pairs and Golay–Hadamard matrices to design the precoding and combining matrices. Simulation results verify the effectiveness of the propose approach.]]>66310131026932<![CDATA[Robust Fairness Transceiver Design for a Full-Duplex MIMO Multi-Cell System]]>663102710411388<![CDATA[Batched Network Coding With Adaptive Recoding for Multi-Hop Erasure Channels With Memory]]>end-to-end capacity of multi-hop erasure channels, we show that it degrades the end-to-end throughput, when batched network coding with finite batch size is applied, due to the higher variance in erasures within one coding block. On the other hand, if the initial channel state information is available, the channel variance can be significantly reduced. We show that this fact can be utilized for improving the efficiency of the recoding operations at the intermediate nodes, and hence improve the end-to-end throughput of batched network coding schemes. Specifically, we propose adaptive recoding operations, where the network coded packets are adaptively generated based on the number of received packets and the initial channel state for each coding block. The simulation results show that the proposed adaptive recoding scheme significantly enhances the end-to-end throughput of batched network coding over multi-hop GE channels.]]>663104210521366<![CDATA[On the Optimality of 0–1 Data Placement in Cache Networks]]>66310531063855<![CDATA[QoS-Constrained Medium Access Probability Optimization in Wireless Interference-Limited Networks]]>$epsilon $ -optimal algorithm based on the branch-and-bound framework and convex relaxation technology is proposed with relatively low complexity. Simulations results show that the proposed algorithms can achieve superior network throughput performance over existing schemes.]]>663106410771581<![CDATA[Multicast Pushing With Content Request Delay Information]]>663107810922724<![CDATA[Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells]]>663109311092473<![CDATA[Aggregate Hardware Impairments Over Mixed RF/FSO Relaying Systems With Outdated CSI]]>$mathcal {M}$ -distribution), the atmospheric path loss, and the pointing error. Partial relay selection with outdated channel state information is proposed to select the candidate relay to forward the signal to the destination. At the reception, the detection of the signal can be achieved following either heterodyne or intensity modulation and direct detection. Many previous attempts neglected the impact of the hardware impairments and assumed ideal hardware. This assumption makes sense for low data rate systems but it would no longer be valid for high data rate systems. In this paper, we propose a general model of hardware impairment to get insight into quantifying its effects on the system performance. We will demonstrate that the hardware impairments have small impact on the system performance for low signal-to-noise ratio (SNR), but it can be destructive at high SNR values. Furthermore, analytical expressions and upper bounds are derived for the outage probability and ergodic capacity while the symbol error probability is obtained through the numerical integration method. Capitalizing on these metrics, we also derive the high SNR asymptotes to get valuable insight into the system gains, such as the diversity and the coding gains. Finally, analytical and numerical results are presented and validated by the Monte Carlo simulation.]]>663111011231923<![CDATA[Statistical Delay-QoS Aware Joint Power Allocation and Relaying Link Selection for Free Space Optics Based Fronthaul Networks]]>663112411381625<![CDATA[On the Physical Layer Security Analysis of Hybrid Millimeter Wave Networks]]>$mu$ Wave) cellular networks are employed. This paper focuses on the performance analysis of mmWave-overlaid microwave cellular networks, from security perspective. We particularly developed a mathematical framework to analyze the connection outage probability, the secrecy outage probability, and the achievable average secrecy rate of the hybrid mmWave network, while taking fading and the impact of blockages into consideration. Moreover, based on the received signal strength, we formulated a scheme for a generic mobile user to be associated with either the mmWave or $mu$ Wave network. The exact average secrecy rate of mmWave networks is also formulated using moment generating and Laplace functions as a tool. The derived analytic expressions are validated via simulation results; for different antenna gain, eavesdropper density, BS, and blockage density.]]>663113911521452<![CDATA[Local Reliability Aware Random Access for Correlated Sources in WSNs]]>66311531163854<![CDATA[Massive MIMO Downlink Based on Single Carrier Frequency Domain Processing]]>663116411751387<![CDATA[An Approximate ML Detector for MIMO Channels Corrupted by Phase Noise]]>self-interference whitening (SIW), consists in: 1) estimating the self-interference caused by the phase noise perturbation; 2) whitening the said interference; and 3) detecting the transmitted vector. While the exact ML solution is computationally intractable, we construct a simulation-based lower bound on the error probability of ML detection. Leveraging this lower bound, we perform extensive numerical experiments demonstrating that SIW is, in most cases of interest, very close to optimal with moderate phase noise. More importantly and perhaps surprisingly, such near-ML performance can be achieved by applying only twice the nearest neighbor detection algorithm. In this sense, our results reveal a striking fact: near-ML detection of phase noise corrupted MIMO channels can be done as efficiently as for conventional MIMO channels without phase noise.]]>663117611891359<![CDATA[Reduced-Complexity Equalization for Faster-Than-Nyquist Signaling: New Methods Based on Ungerboeck Observation Model]]>$M$ best states in the maximum a posteriori sense. We further simplify the above algorithm by choosing the key path from each possible state, which successfully reduces the complexity while maintaining a good bit error rate performance. Simulation results show that, with the use of the proposed methods, great gains can be obtained in terms of spectral efficiency (up to 186%) or signal-to-noise ratio (up to 4.5 dB) compared with the Nyquist signaling.]]>663119012041647<![CDATA[Filtered OFDM Systems, Algorithms, and Performance Analysis for 5G and Beyond]]>663120512181910<![CDATA[Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier]]>663121912331568<![CDATA[The SIR Meta Distribution in Poisson Cellular Networks With Base Station Cooperation]]>663123412491621<![CDATA[A Correlation-Aware Splitting Algorithm for Opportunistic Selection]]>66312501261995<![CDATA[Layered Non-Orthogonal Random Access With SIC and Transmit Diversity for Reliable Transmissions]]>663126212721060<![CDATA[Variational Bayesian Inference-Based Counting and Localization for Off-Grid Targets With Faulty Prior Information in Wireless Sensor Networks]]>663127312831653<![CDATA[Product of Two Envelopes Taken From $alpha $ - $mu $ , $kappa $ - $mu $ , and $eta $ - $mu $ Distributions]]>$alpha $ -$mu $ , $kappa $ -$mu $ , and $eta $ -$mu $ variates. The expressions are given in terms of both 1) generalized Fox H-function and 2) easily computable series expansions. The formulations derived can be directly used to explore the performance of a number of wireless communication processes, including multihop systems, cascaded channels, radar communications, multiple-input multiple-output links, and others. Due to the high flexibility of the above-mentioned distributions, the results presented here comprise a substantial number of useful product distributions. As application examples, performance metrics for the cascaded fading channel are derived. The validity of the expressions is confirmed via Monte Carlo simulation. It is noteworthy that, because any composite multipath-shadowing fading model is obtained as a particular case of the product of two fading variables, the results given here provide a plethora of composite multipath-shadowing fading scenarios.]]>663128412952554<![CDATA[Opportunistic Spectrum Sharing With Wireless Energy Transfer in Stochastic Networks]]>663129613081506<![CDATA[Performance of Energy Harvesting Receivers With Power Optimization]]>663130913211714<![CDATA[Ultra-Reliable Low Latency Communication Using Interface Diversity]]>interface diversity and integrate multiple communication interfaces, each interface based on a different technology. In this paper, we propose to use coding to seamlessly distribute coded payload and redundancy data across multiple available communication interfaces. We formulate an optimization problem to find the payload allocation weights that maximize the reliability at specific target latency values. In order to estimate the performance in terms of latency and reliability of such an integrated communication system, we propose an analysis framework that combines traditional reliability models with technology-specific latency probability distributions. Our model is capable to account for failure correlation among interfaces/technologies. By considering different scenarios, we find that the optimized strategies can in some cases significantly outperform strategies based on $k$ -out-of-$n$ erasure codes, where the latter do not account for the characteristics of the different interfaces. The model has been validated through simulation and is supported by experimental results.]]>663132213342317<![CDATA[Single-Carrier Modulation Versus OFDM for Millimeter-Wave Wireless MIMO]]>663133513482691<![CDATA[IEEE Communications Society]]>663C3C359