Search Results for author: Xidong Mu

Found 18 papers, 0 papers with code

Near-Field Communications: A Comprehensive Survey

no code implementations11 Jan 2024 Yuanwei Liu, Chongjun Ouyang, Zhaolin Wang, Jiaqi Xu, Xidong Mu, A. Lee Swindlehurst

This evolution is giving rise to the emergence of near-field communications (NFC) in future wireless systems.

Exploiting STAR-RISs in Near-Field Communications

no code implementations28 Nov 2022 Jiaqi Xu, Xidong Mu, Yuanwei Liu

Exploiting the electric current distribution, a Green's function method based channel model is proposed.

Simultaneously Transmitting and Reflecting (STAR)-RISs: Are they Applicable to Dual-Sided Incidence?

no code implementations12 Sep 2022 Jiaqi Xu, Xidong Mu, Joey Tianyi Zhou, Yuanwei Liu

A hardware model and a signal model are proposed for dual-sided simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), where the signal simultaneously incident on both sides of the surface.

Joint Location and Beamforming Design for STAR-RIS Assisted NOMA Systems

no code implementations26 Jun 2022 Qiling Gao, Yuanwei Liu, Xidong Mu, Min Jia, Dongbo Li, Lajos Hanzo

Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communication systems are investigated in its vicinity, where a STAR-RIS is deployed within a predefined region for establishing communication links for users.

GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi

no code implementations24 May 2022 Yanling Hao, Zhiyuan Shi, Xidong Mu, Yuanwei Liu

WiFi-based human action recognition (HAR) has been regarded as a promising solution in applications such as smart living and remote monitoring due to the pervasive and unobtrusive nature of WiFi signals.

Action Recognition Temporal Action Localization

Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer

no code implementations10 May 2022 Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo

Despite the coupled nature of the phase-shift model, the formulated problem is solved by invoking a hybrid continuous and discrete phase-shift control policy.

reinforcement-learning Reinforcement Learning (RL)

Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications

no code implementations3 May 2022 Xinyu Gao, Xidong Mu, Wenqiang Yi, Yuanwei Liu

The goal is to maximize the sum-rate of whole trajectories for the multi-robot system by jointly optimizing trajectories and NOMA decoding orders of robots, phase-shift coefficients of the RIS, and the power allocation of the AP, subject to predicted initial and final positions of robots and the quality of service (QoS) of each robot.

Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications

no code implementations28 Apr 2022 Xiaoxia Xu, Yuanwei Liu, Qimei Chen, Xidong Mu, Zhiguo Ding

A multi-cell cluster-free NOMA framework is proposed, where both intra-cell and inter-cell interference are jointly mitigated via flexible cluster-free successive interference cancellation (SIC) and coordinated beamforming design.

Scheduling

Simultaneously Transmitting and Reflecting (STAR) Intelligent Omni-Surfaces, Their Modeling and Implementation

no code implementations13 Aug 2021 Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, Lajos Hanzo

With the rapid development of advanced electromagnetic manipulation technologies, researchers and engineers are starting to study smart surfaces that can achieve enhanced coverages, high reconfigurability, and are easy to deploy.

Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks

no code implementations15 Jul 2021 Xiaoxia Xu, Qimei Chen, Xidong Mu, Yuanwei Liu, Hao Jiang

With the accelerated development of immersive applications and the explosive increment of internet-of-things (IoT) terminals, 6G would introduce terahertz (THz) massive multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) technologies to meet the ultra-high-speed transmission and massive connectivity requirements.

Coverage Characterization of STAR-RIS Networks: NOMA and OMA

no code implementations20 Apr 2021 Chenyu Wu, Yuanwei Liu, Xidong Mu, Xuemai Gu, Octavia A. Dobre

A sum coverage range maximization problem is formulated for both non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA), where the resource allocation at the access point and the transmission and reflection coefficients at the STAR-RIS are jointly optimized to satisfy the communication requirements of users.

STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces

no code implementations24 Jan 2021 Jiaqi Xu, Yuanwei Liu, Xidong Mu, Octavia A. Dobre

In this letter, simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) are studied.

Robotic Communications for 5G and Beyond: Challenges and Research Opportunities

no code implementations9 Dec 2020 Yuanwei Liu, Xiao Liu, Xinyu Gao, Xidong Mu, Xiangwei Zhou, Octavia A. Dobre, H. Vincent Poor

Furthermore, dynamic trajectory design and resource allocation for both indoor and outdoor robots are provided to verify the performance of robotic communications in the context of typical robotic application scenarios.

Robotics Systems and Control Signal Processing Systems and Control

Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks

no code implementations18 Nov 2020 Xinyu Gao, Yuanwei Liu, Xidong Mu

A novel intelligent reflecting surface (IRS)-aided multi-robot network is proposed, where multiple mobile wheeled robots are served by an access point (AP) through non-orthogonal multiple access (NOMA).

Robotics

Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map based Approach

no code implementations27 Sep 2020 Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober

Based on the obtained channel power gain map, the communication-aware robot path planing problem is solved by exploiting graph theory.

Robot Navigation

Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning Using Radio Maps

no code implementations24 Sep 2020 Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober

Based on the obtained channel power gain map, the communication-aware robot path planing problem is solved as a shortest path problem by exploiting graph theory.

Robot Navigation

Reconfigurable Intelligent Surfaces: Principles and Opportunities

no code implementations7 Jul 2020 Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir

In this context, we provide a comprehensive overview of the state-of-the-art on RISs, with focus on their operating principles, performance evaluation, beamforming design and resource management, applications of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies.

BIG-bench Machine Learning Management

Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization

no code implementations30 Oct 2019 Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Naofal Al-Dhahir

Our goal is to maximize the sum rate of all users by jointly optimizing the active beamforming at the BS and the passive beamforming at the IRS, subject to successive interference cancellation decoding rate conditions and IRS reflecting elements constraints.

Quantization

Cannot find the paper you are looking for? You can Submit a new open access paper.