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TOC Alert for Publication# 4234 2018April 23<![CDATA[Table of contents]]>224C1659284<![CDATA[IEEE Communications Society]]>224C2C286<![CDATA[Improving the Decoding Threshold of Tailbiting Spatially Coupled LDPC Codes by Energy Shaping]]>energy shaping. We focus on the special case where the transmission energy of a bit is selected among two values, and where a contiguous portion of the codeword is transmitted with the largest one. Given these constraints, an optimal energy boosting policy is derived by means of a protograph extrinsic information transfer analysis. We show that the threshold of tailbiting SC-LDPC code ensembles can be made close to that of terminated code ensembles while avoiding the rate loss (due to termination). The analysis is complemented by Monte Carlo simulations, which confirm the viability of the approach.]]>224660663564<![CDATA[Enhanced Metric Sorting for Successive Cancellation List Decoding of Polar Codes]]>$M$ times. Evaluation results indicate that the proposed PMS method outperforms state-of-the-art metric sorting methods in terms of comparisons and comparison stages, which effectively reduces latency and hardware resource.]]>2246646672067<![CDATA[Nonbinary WOM Codes With Uninformed Encoder and Decoder]]>$q$ different values. We will derive the sum rate of this code and show that it exceeds that of the previous designs.]]>224668671436<![CDATA[The Design of Protograph LDPC Codes as Source Codes in a JSCC System]]>224672675613<![CDATA[Window-Interleaved Turbo Codes]]>224676679475<![CDATA[Randomized Serially Concatenated LDGM Codes for the Gaussian Wiretap Channel]]>224680683808<![CDATA[Optimal Index Codes for a New Class of Interlinked Cycle Structure]]>et. al. In this paper, we provide an addition to this class by providing optimal length index codes for IC structures with one cycle among non-inner vertex set.]]>224684687497<![CDATA[SDN-Assisted Slow HTTP DDoS Attack Defense Method]]>224688691945<![CDATA[Joint Pilot and Payload Power Control for Uplink MIMO-NOMA With MRC-SIC Receivers]]>224692695438<![CDATA[On Capacity of Network Error Correction Coding With Random Errors]]>$p$ at each transmission. A pair of upper and lower bounds on the capacity are given, which are proved to coincide for a unicast network with $|mathcal {E}|$ parallel channels connected directly from source to sink node, where $mathcal {E}$ is the edge set of the network. A scheme with non-linear coding at the source and linear coding at the intermediate nodes is proposed, which achieves a strictly higher transmission rate than linear network coding.]]>224696699297<![CDATA[Optimization of Multicast Source-Routing Based on Bloom Filter]]>224700703437<![CDATA[SCDN: A Novel Software-Driven CDN for Better Content Pricing and Caching]]>224704707929<![CDATA[Ultra-Reliable Communication in 5G mmWave Networks: A Risk-Sensitive Approach]]>2, the fraction of users that achieves 4 Gbps is reduced by 11.61% and 39.11% in the proposed and the baseline models, respectively.]]>224708711720<![CDATA[Zero-Delay Gaussian Joint Source–Channel Coding for the Interference Channel]]>224712715650<![CDATA[Nonblocking Multirate 2-Stage Networks]]>224716719570<![CDATA[Deep Learning-Aided SCMA]]>224720723529<![CDATA[Robust Modulation of PWM-Based Multi-Level Perpendicular Magnetic Recording for Conventional Media]]>224724727926<![CDATA[Rate-Maximized Scheduling in Adaptive OCDMA Systems Using Stochastic Optimization]]>224728731704<![CDATA[Linear Precoding for MU-MISO VLC Systems With Noisy Channel State Information]]>224732735583<![CDATA[An Improved FD-DFE Structure for Downlink VLC Systems Based on SC-FDMA]]>224736739498<![CDATA[Asymptotic Performance Analysis for Landmark Learning in Indoor Localization]]>a priori unknown or imprecise landmark positions through users’ localization processes can in turn improve their localization performance. In this letter, we develop an analytical framework for landmark learning in localization, in which the positions of the landmarks are continually refined by the inter-landmark measurements from users. We derive the limit and convergence rate of the localization accuracy in asymptotic regimes. Our results characterize the effects of the number of landmarks, the number of inter-landmark measurements, and other non-ideal effects on the localization performance. Theoretical results are validated by simulations and experiments.]]>224740743543<![CDATA[Outage Performance for Non-Orthogonal Multiple Access With Fixed Power Allocation Over Nakagami-<inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> Fading Channels]]>${m}$ fading channels, where the fading parameters of NOMA users are different. In this scenario, new closed-form expressions are derived for the outage behavior of individual users and the system, respectively. Next, the diversity orders are obtained under high signal-to-noise ratio condition. The derived analytical expressions are exact and unprecedented in the earlier literature. Finally, simulations are conducted to confirm the validity of the analysis and show the outage performance of NOMA under different fading parameters of Nakagami-${m}$ fading channels.]]>224744747326<![CDATA[Tuna: An Efficient and Practical Scheme for Wireless Access Point in 5G Networks Virtualization]]>224748751735<![CDATA[Extended-Aperture Unitary Root MUSIC-Based DOA Estimation for Coprime Array]]>224752755474<![CDATA[Periodically Nonuniform Sampling and Reconstruction of Signals in Function Spaces Associated With the Linear Canonical Transform]]>224756759584<![CDATA[Role of the NLMS Algorithm in Direction of Arrival Estimation for Antenna Arrays]]>224760763703<![CDATA[A Novel Equivalent Baseband Channel of Hybrid Beamforming in Massive Multiuser MIMO Systems]]>224764767501<![CDATA[Adaptive Beamforming in an Impulsive Noise Environment Using Matrix Completion]]>224768771597<![CDATA[Cell Boundary User Performance in Multi-User MIMO Poisson Voronoi Cell]]>224772775555<![CDATA[Edge Caching With Transmission Schedule for Multiuser Multirelay Networks]]>224776779484<![CDATA[Energy-Efficient Joint Power and Bandwidth Allocation for NOMA Systems]]>224780783309<![CDATA[Low-Complexity CS-Aided MPA Detector for SCMA Systems]]>224784787420<![CDATA[User Pairing and Pair Scheduling in Massive MIMO-NOMA Systems]]>224788791387<![CDATA[Distributed Interference Alignment for Multi-Antenna Cellular Networks With Dynamic Time Division Duplex]]>224792795481<![CDATA[Impact of LoRa Imperfect Orthogonality: Analysis of Link-Level Performance]]>224796799703<![CDATA[Spreading Factor Allocation for Massive Connectivity in LoRa Systems]]>224800803569<![CDATA[Game-Theoretic Modeling of Backscatter Wireless Sensor Networks Under Smart Interference]]>224804807634<![CDATA[Optimal Node Placement and Resource Allocation for UAV Relaying Network]]>224808811482<![CDATA[Wireless Precision Time Protocol]]>224812815651<![CDATA[Security Enhancement of Fix Chaotic-DSSS in WSNs]]>fake users, to enhance the security of the chaotic-DSSS based WSNs. The performance of the proposed method is theoretically investigated and validated through simulation. The results suggest that the proposed method can significantly improve the security of WSNs.]]>224816819846<![CDATA[Workload Allocation in Hierarchical Cloudlet Networks]]>224820823845<![CDATA[An Optimal Real-Time Distributed Algorithm for Utility Maximization of Mobile Ad Hoc Cloud]]>224824827552<![CDATA[Deep Learning Based Pilot Allocation Scheme (DL-PAS) for 5G Massive MIMO System]]>224828831968<![CDATA[Enhanced Spectrum Sharing and Cognitive Radio Using Asynchronous Primary and Secondary Users]]>224832835589<![CDATA[Priority-Based Polarized Transmission for Feedback Channels in Cooperative Spectrum Sensing Systems]]>2248368391484<![CDATA[Throughput Analysis of Power-Beacon-Assisted Energy Harvesting Wireless Systems Over Non-Identical Nakagami-<inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> Fading Channels]]>${m}$ random variables. We derive an exact expression for the achievable throughput. A closed-form approximated expression of the throughput in the high signal-to-noise ratio regime is obtained. Moreover, we proposed the optimal time allocation method to maximizing the sum throughput of the whole system. Our analysis is corroborated by Monte Carlo simulations.]]>224840843413<![CDATA[Transmitter Design in MISO-NOMA System With Wireless-Power Supply]]>224844847394<![CDATA[Subspace-Based Method for Spectrum Sensing With Multiple Users Over Fading Channel]]>224848851436<![CDATA[A Beam Selection Algorithm for Millimeter-Wave Multi-User MIMO Systems]]>beamspace domain provides an attractive solution through beam selection. We propose a novel beam selection algorithm for downlink mmWave multi-user MIMO systems that selects $K$ beams for $K$ users. The proposed method attempts to maximize the sum-rate and nulls-out the multi-user interference. We show, through simulations, that the proposed method outperforms the existing ones.]]>224852855328<![CDATA[Energy-Efficient Defensive Strategy Against Hybrid SSDF/Eavesdropping Attacks Over Nakagami-<inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> Channels]]>${m}$ fading channels. The optimal MUs and LUs are determined via the achievement of maximum energy-efficiency that is subject to the optimal report bits, report distance as well as report error rate. Furthermore, intercept performance of the proposed strategy in the presence of multiple MUs is also investigated. Simulation results reveal that, the proposed strategy is immune to MU numbers, report distance as well as report error rate. Moreover, the intercept probability can be reduced in multiple MUs scenario when the legitimate-to-malicious ratio is high and the channel fading factor ratio is large.]]>224856859573<![CDATA[Fair Downlink Transmission for Multi-Cell FD-MIMO System Exploiting Statistical CSI]]>224860863471<![CDATA[Performance of Regenerative Relay-Assisted D2D Communication in Mixed Fading Channels]]>$m$ fading channels. A relay that successfully decodes the source information forwards it to the destination. The destination device combines the direct message signal from the source and its copy via the relay using maximal-ratio combining. Novel closed-form expressions for exact and asymptotic average bit error rates are derived. Furthermore, diversity order, the coding gain, and the optimal power allocation factor are obtained for better system insights. The analysis has been verified through Monte Carlo simulations.]]>224864867443<![CDATA[Signal Space Diversity in Single and Multiuser Scenarios Employing Sphere Decoder Detector]]>224868871620<![CDATA[IEEE Communications Society]]>224C3C357