<![CDATA[ IEEE Transactions on Communications - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 26 2018April 23<![CDATA[Table of contents]]>664C1C4315<![CDATA[IEEE Communications Society]]>664C2C2130<![CDATA[Design and Analysis of Anytime Codes for Relay Channels]]>664134913621543<![CDATA[Design of Binary LDPC Codes With Parallel Vector Message Passing]]>664136313751647<![CDATA[Interpolation-Based Low-Complexity Chase Decoding Algorithms for Hermitian Codes]]>$eta $ unreliable symbols and realizing them with the two most likely decisions, $2^eta $ decoding test-vectors can be formulated. The first LCC algorithm performs interpolation for the common elements of the test-vectors, producing an intermediate outcome that will be shared by the uncommon element interpolation. It eliminates the redundant computation for decoding each test-vector, resulting in a low-complexity. With an interpolation multiplicity of one, the decoding is further facilitated by removing the requirement of pre-calculating the Hermitian curve’s corresponding coefficients. The second LCC algorithm is an adaptive variant of the first algorithm, where the number of test-vectors is determined by the reliability of received information. When the channel condition improves, it can reduce the complexity without compromising the decoding performance. Simulation results show that the both LCC algorithms outperform a number of existing algebraic decoding algorithms for Hermitian codes. Finally, our complexity analysis will reveal the proposals’ low-complexity feature.]]>664137613851440<![CDATA[Performance Analysis of Relaying Systems With Fixed and Energy Harvesting Batteries]]>664138613981602<![CDATA[Joint Interference Suppression and Multiuser Detection Schemes for Multi-Cell Wireless Relay Communications: A Three-Cell Case]]>664139914101998<![CDATA[On the Design of Power Splitting Relays With Interference Alignment]]>664141114241768<![CDATA[Joint Compression, Channel Coding, and Retransmission for Data Fidelity With Energy Harvesting]]>$r - 1$ previously unsuccessfully delivered ones, where $r$ is a design parameter. These data blocks are compressed, concatenated, and encoded with a channel code. The scheme applies lossy compression, such that the fidelity of the individual blocks is traded off with the reliability provided by the channel code. We show that the proposed strategy outperforms the one in which retransmissions are not allowed. We also investigate the tradeoff between the value of $r$ , the compression and the coding rates, under the constraints of the energy availability, and, once $r$ has been decided, use a Markov decision process (MDP) to optimize the compression/coding rates. Finally, we implement a reinforcement learning algorithm, through which devices can learn the optimal transmission policy without knowing a priori the statistics of the EH process, and show that it indeed reaches the performance obtained via MDP.]]>664142514391318<![CDATA[Analytical Performance Evaluation of Precoding Techniques for Nonlinear Massive MIMO Systems With Channel Estimation Errors]]>664144014511362<![CDATA[Distance Hardening in Large MIMO Systems]]>distance hardening. It involves distance metrics defined in terms of many factors, such as the channel matrix and the difference matrix of two arbitrary transmitted codewords. The asymptotic property is revealed by the use of the Chernoff bounding method and expressed in an analogous way to the well-known channel hardening. More specifically, we first derive Chernoff bounds on the tail probabilities of distance metrics, in which we are interested. Then, we formulate the asymptotic property based on a generalized definition of the hardening phenomena by referring to a formal definition of the channel hardening. The distance hardening is shown to have implications for space-time code design, MIMO detection, and millimeter wave MIMO systems. Numerical simulations are conducted to verify our theoretical development.]]>664145214661456<![CDATA[Low-Complexity Iterative MMSE-PIC Detection for MIMO-GFDM]]>664146714801734<![CDATA[A New Approach to User Scheduling in Massive Multi-User MIMO Broadcast Channels]]>orthogonal reference beams and construct a cone around each reference beam to select “nearly-optimal” semi-orthogonal users based only on channel quality indicator feedback; and 2) to apply post-user-selection beam design with zero-forcing beamforming (ZFBF) based on channel state information (CSI) feedback only from the selected users. It is proven that the proposed scheduling-and-beamforming method is asymptotically optimal as the number of users increase. Furthermore, the proposed scheduling-and-beamforming method almost achieves the performance of the existing semi-orthogonal user selection with ZFBF that requires full CSI for all users, with a significantly reduced amount of required channel information which is even less than that required by random beamforming.]]>664148114951408<![CDATA[Robust Downlink Beamforming for BDMA Massive MIMO System]]>664149615071582<![CDATA[AF MIMO Relay Systems With Wireless Powered Relay Node and Direct Link]]>664150815191409<![CDATA[Joint Power Allocation and Adaptive Random Network Coding in Wireless Multicast Networks]]>664152015331607<![CDATA[Weighted Max–Min Fairness for C-RAN Multicasting Under Limited Fronthaul Constraints]]>$mathcal {S}$ -lemma while the low-complexity algorithm is tailored by using two different approximations of intractable robust counterpart. The validity of the proposed methods in the region of limited fronthaul capacity is confirmed by numerical results.]]>664153415481971<![CDATA[A Comparative Study of Unipolar OFDM Schemes in Gaussian Optical Intensity Channel]]>664154915642074<![CDATA[Fractional Reverse Polarity Optical OFDM for High Speed Dimmable Visible Light Communications]]>$M$ -ary pulse position modulation. We derive the expressions of the FRPO-OFDM signal and its achievable brightness level, and develop an effective detector which can recover information from both sequences based on maximum likelihood detection. We show that when the detector is to be implemented, the use of multi-layer ACO-OFDM imposes strong periodicity on the BCS, which leads to a trade-off between spectral efficiency and brightness resolution for dimming control. It is shown that high spectral efficiency can be achieved with practical dimming requirements. Simulation results show that the extra information carried by the BCS can be decoded with extremely low bit error rate and thus has negligible impacts on the demodulation of the ACO-OFDM signal, when the system nonlinearity is not dominating.]]>664156515781783<![CDATA[Nanoscale Optical Wireless Channel Model for Intra-Body Communications: Geometrical, Time, and Frequency Domain Analyses]]>In vivo wireless nanosensor networks (iWNSNs) consist of communicating miniature devices with unprecedented sensing and actuation capabilities, which are able to operate inside the human body. iWNSNs are the basis of emerging healthcare applications, such as intrabody health-monitoring and control of biological processes at subcellular level. Major progress in the field of nanoelectronics, nanophotonics, and wireless communication is enabling the interconnection of the nanodevices in iWNSNs. In this paper, the effect of single biological cells and cell assemblies on the propagation of optical wave for intrabody communications of nanosensors is analytically investigated in three distinct ways, namely, geometrical, time-domain, and frequency-domain analyses. The analytical channel model is validated by means of full wave electromagnetic simulations through a case study for red blood cells (RBCs) inside the blood plasma. The results show that RBCs perform as optical microlenses that confine the radiated light on a focal area, which agrees with recent experimental achievements. It is also shown that changes in shape and size of the cells slightly alter the channel impulse response. This study motivates the development of new communication solutions for intrabody nanoscale optical communication networks and new nanobiosensing strategies able to identify diseases which cause cell shape alterations.]]>664157915932205<![CDATA[Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee]]>664159416082235<![CDATA[Distributed Distortion-Rate Optimized Compressed Sensing in Wireless Sensor Networks]]>664160916231292<![CDATA[Estimation Theory-Based Robust Phase Offset Determination in Presence of Possible Path Asymmetries]]>664162416351158<![CDATA[Achieving Full Diversity on a Single-Carrier Distributed QOSFBC Transmission Scheme Utilizing PAPR Reduction]]>664163616481375<![CDATA[Efficient Access Control for Broadband Power Line Communications in Home Area Networks]]>664164916601494<![CDATA[Low-Complexity Joint-MMSE GFDM Receiver]]>664166116742256<![CDATA[Spectral Analysis of Fractionally-Spaced MMSE Equalizers and Stability of the LMS Algorithm]]>664167516881642<![CDATA[Link-Quality Aware Path Selection in the Presence of Proactive Jamming in Fallible Wireless Sensor Networks]]>Link-quality Aware Path SElection (LAPSE) algorithm that chooses alternative paths based on the optimal link quality. LAPSE is based on optimal decision rule and its design considers the fallible nature of the nodes while choosing/rejecting a particular link. Finally, the performance of the proposed algorithm, LAPSE, is evaluated in terms of the network parameters—packet delivery rate, network throughput, transmission energy, node lifetime, and network lifetime. Results indicate that the performance of LAPSE is significantly better than the existing jamming avoidance algorithms.]]>664168917042471<![CDATA[Downlink Energy Efficiency of Power Allocation and Wireless Backhaul Bandwidth Allocation in Heterogeneous Small Cell Networks]]>664170517161440<![CDATA[Fully Non-Orthogonal Communication for Massive Access]]>664171717311327<![CDATA[Fractional Pilot Duration Optimization for SIMO in Rayleigh Fading With MPSK and Imperfect CSI]]>$M$ -ary phase-shift keying, and using maximal-ratio combining. Closed-form expressions for the approximate optimal pilot symbol duration fraction are derived for the high signal-to-noise ratio (SNR) case. Numerical results are presented to highlight the system behavior with changes in parameters like SNR, pilot symbol quality, and number of receive diversity branches. It is found that the optimization maximizes normalized error-free data rate with close to minimum SEP.]]>664173217441504<![CDATA[The Meta Distribution of the SIR for Cellular Networks With Power Control]]>664174517571966<![CDATA[Sensitivity and Asymptotic Analysis of Inter-Cell Interference Against Pricing for Multi-Antenna Base Stations]]>664175817711311<![CDATA[Degrees of Freedom and Achievable Rate of Wide-Band Multi-Cell Multiple Access Channels With No CSIT]]>$K$ -cell multiple access channel with inter-symbol interference. The primary finding of this paper is that, without instantaneous channel state information at the transmitters, interference-free degrees-of-freedom (DoF) per cell is achievable, provided that the delay spread of the desired links is significantly longer than that of the interfering links when the number of user per cell is sufficiently large. This achievability is shown by a blind interference management method that exploits the relativity in delay spreads between desired and interfering links. In this method, all inter-cell-interference signals are aligned-and-cancelled by using discrete-Fourier-transform-based precoding and combining, both depend only on the lengths of channel-impulse-response. In addition to the DoF analysis, the achievable rate of the proposed method is characterized in a closed-form expression. Some illustrative examples are presented to show an additional sum-DoF gain obtained by exploiting propagation delay in the interfering links or the heterogeneity of the channel coherence time between the desired and interfering links.]]>664177217861254<![CDATA[Cheat-Proof Distributed Power Control in Full-Duplex Small Cell Networks: A Repeated Game With Imperfect Public Monitoring]]>664178718022030<![CDATA[Wireless Powered Communications With Finite Battery and Finite Blocklength]]>664180318161741<![CDATA[Joint Optimal Mode Switching and Power Adaptation for Nonlinear Energy Harvesting SWIPT System Over Fading Channel]]>664181718321678<![CDATA[IEEE Communications Society]]>664C3C357