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Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
Reconfigurable intelligent surface (RIS)-assisted transmission and space...
02/03/2021 ∙ by Qiang Li, et al. ∙
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Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Edge federated learning (FL) is an emerging machine learning paradigm th...
01/28/2021 ∙ by Shuai Wang, et al. ∙
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Exploiting Reconfigurable Intelligent Surfaces in Edge Caching: Joint Hybrid Beamforming and Content Placement Optimization
Edge caching can effectively reduce backhaul burden at core network and ...
11/07/2020 ∙ by Yingyang Chen, et al. ∙
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Reconfigurable Intelligent Surface Aided Secure Transmission: Outage-Constrained Energy-Efficiency Maximization
Reconfigurable intelligent surface (RIS) has the potential to significan...
10/29/2020 ∙ by Zongze Li, et al. ∙
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Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Edge learning (EL), which uses edge computing as a platform to execute m...
09/07/2020 ∙ by Dan Liu, et al. ∙
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Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior
Tensor rank learning for canonical polyadic decomposition (CPD) has long...
09/05/2020 ∙ by Lei Cheng, et al. ∙
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Massive Access in Secure NOMA under Imperfect CSI: Security Guaranteed Sum-Rate Maximization with First-Order Algorithm
Non-orthogonal multiple access (NOMA) is a promising solution for secure...
07/27/2020 ∙ by Zongze Li, et al. ∙
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Learning Centric Power Allocation for Edge Intelligence
While machine-type communication (MTC) devices generate massive data, th...
07/21/2020 ∙ by Shuai Wang, et al. ∙
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Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems with SWIPT
This work investigates the energy-efficient resource allocation for laye...
07/20/2020 ∙ by Fangqing Tan, et al. ∙
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Angle Aware User Cooperation for Secure Massive MIMO in Rician Fading Channel
Massive multiple-input multiple-output communications can achieve high-l...
02/24/2020 ∙ by Shuai Wang, et al. ∙
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Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
Cloud radio access network (C-RAN) has been recognized as a promising ar...
01/21/2020 ∙ by Yang Li, et al. ∙
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Machine Intelligence at the Edge with Learning Centric Power Allocation
While machine-type communication (MTC) devices generate considerable amo...
11/12/2019 ∙ by Shuai Wang, et al. ∙
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Backscatter Data Collection with Unmanned Ground Vehicle: Mobility Management and Power Allocation
Collecting data from massive Internet of Things (IoT) devices is a chall...
02/27/2019 ∙ by Shuai Wang, et al. ∙
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Joint Communication and Motion Energy Minimization in UGV Backscatter Communication
While backscatter communication emerges as a promising solution to reduc...
02/26/2019 ∙ by Shuai Wang, et al. ∙
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Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent
One key feature of massive multiple-input multiple-output systems is the...
02/07/2019 ∙ by Shuai Wang, et al. ∙
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Convergence Analysis of Belief Propagation on Gaussian Graphical Models
Gaussian belief propagation (GBP) is a recursive computation method that...
01/17/2018 ∙ by Jian Du, et al. ∙
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Convergence analysis of belief propagation for pairwise linear Gaussian models
Gaussian belief propagation (BP) has been widely used for distributed in...
06/12/2017 ∙ by Jian Du, et al. ∙
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Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation
This paper considers inference over distributed linear Gaussian models u...
11/07/2016 ∙ by Jian Du, et al. ∙
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