Deep learning has been the answer to many machine learning problems during the past two
decades. However, it comes with two significant constraints: dependency on extensive …

Backscatter communication (BackCom) networks enable passive/battery-free Internet-of-
Thing devices, providing reliable, massive connectivity while ensuring self-sustainability, low …

Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-
assisted multi-user communication (IRS-MUC) systems. However, different from traditional …

This paper investigates the integrated sensing and communication (ISAC) in vehicle-to-
infrastructure (V2I) networks. To realize ISAC, an effective beamforming design is essential …

Orthogonal time frequency space (OTFS) modulation is a recently developed multi-carrier
multi-slot transmission scheme for wireless communications in high-mobility environments …

A reconfigurable intelligent surface (RIS)-assisted multi-user downlink communication
system over fading channels is investigated, where both non-orthogonal multiple access …

With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

物联网能够提升人们的生活质量, 但同时带来能量消耗剧增与网络传输拥堵的问题. 为此,
面向零功耗物联网的反向散射通信技术被提出, 分析与研究该技术的发展现状及所面临的技术 …

Massive connectivity of billions of communicating devices for fifth-generation (5G) and
beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost …

Mutualistic cooperative ambient backscatter communications (AmBC) have been proposed
to improve the spectrum and energy efficiencies of Internet-of-Things (IoT) systems, where a …