no code implementations • 16 Mar 2024 • Yang Huang, Miaomiao Dong, Yijie Mao, Wenqiang Liu, Zhen Gao
Due to such design and the kernel-based neural network, to which decision-making features can be continuously added, the kernel-based approach can outperform the approach based on fully-connected deep neural network, yielding improvement in energy consumption and the backlog performance, as well as a significant reduction in decision-making and online learning time.
no code implementations • 4 May 2023 • Yuanming Shi, Shuhao Xia, Yong Zhou, Yijie Mao, Chunxiao Jiang, Meixia Tao
To improve the learning performance, we establish a system optimization framework by joint transceiver and fronthaul quantization design, for which successive convex approximation and alternate convex search based system optimization algorithms are developed.
no code implementations • 30 Apr 2023 • Jiali Wang, Yijie Mao, Ting Wang, Yuanming Shi
We rigorously develop an energy consumption model for the local training at devices through the use of QNNs and communication models over Cloud-RAN.
no code implementations • 13 Jan 2023 • Chengzhong Tian, Yijie Mao, Kangchun Zhao, Yuanming Shi, Bruno Clerckx
Numerical results show that by marrying the benefits of RSMA and RIS, the proposed RIS empowered RSMA achieves a better tradeoff between the WSR of IRs and energy harvested at ERs.
no code implementations • 4 May 2022 • Hongyu Li, Yijie Mao, Onur Dizdar, Bruno Clerckx
This letter is the third part of a three-part tutorial that focuses on rate-splitting multiple access (RSMA) for 6G.
no code implementations • 19 Jan 2022 • Anup Mishra, Yijie Mao, Luca Sanguinetti, Bruno Clerckx
This letter focuses on integrating rate-splitting multiple-access (RSMA) with time-division-duplex Cell-free Massive MIMO (multiple-input multiple-output) for massive machine-type communications.
no code implementations • 31 Oct 2021 • Shaoming Huang, Pengfei Zhang, Yijie Mao, Lixiang Lian, Yuanming Shi
Specifically, we theoretically establish the convergence analysis of the FL process, and then apply the proposed device scheduling policy to maximize the number of weighted devices under the FL system latency and sum power constraints.
no code implementations • 14 Mar 2021 • Chengcheng Xu, Bruno Clerckx, Shiwa Chen, Yijie Mao, Jianyun Zhang
In this work, we propose a powerful and unified multi-antenna DFRC transmission framework, where an additional radar sequence is transmitted apart from communication streams to enhance radar beampattern matching capability, and Rate-Splitting Multiple Access (RSMA) is adopted to better manage the interference.
no code implementations • 3 Jun 2020 • Ping Li, Ming Chen, Yijie Mao, Zhaohui Yang, Bruno Clerckx, Mohammad Shikh-Bahaei
In this paper, we employ Cooperative Rate-Splitting (CRS) technique to enhance the Secrecy Sum Rate (SSR) for the Multiple Input Single Output (MISO) Broadcast Channel (BC), consisting of two legitimate users and one eavesdropper, with perfect Channel State Information (CSI) available at all nodes.
no code implementations • 17 Oct 2019 • Yijie Mao, Bruno Clerckx, Jian Zhang, Victor O. K. Li, Mohammed Arafah
Cooperative Rate-Splitting (CRS) strategy, relying on linearly precoded rate-splitting at the transmitter and opportunistic transmission of the common message by the relaying user, has recently been shown to outperform typical Non-cooperative Rate-Splitting (NRS), Cooperative Non-Orthogonal Multiple Access (C-NOMA) and Space Division Multiple Access (SDMA) in a two-user Multiple Input Single Output (MISO) Broadcast Channel (BC) with user relaying.