4.6 Article

Physical-Layer Security for Cache-Enabled C-RANs via Rate Splitting

期刊

IEEE COMMUNICATIONS LETTERS
卷 26, 期 5, 页码 984-988

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2022.3154422

关键词

Costs; Array signal processing; NOMA; Multiaccess communication; Sun; Optimization; Wireless communication; Rate splitting; physical-layer security; cloud radio access network (C-RAN); non-convex optimization

资金

  1. National Natural Science Foundation of China [62071472]
  2. Program for Industrial Internet of Things (IoT)
  3. Emergency Collaboration Innovative Research Team in CUMT [2020ZY002]
  4. Fundamental Research Funds for the Central Universities [2020ZDPYMS26]
  5. China Scholarship Council [202006420017]

向作者/读者索取更多资源

This letter proposes a rate splitting-based secure transmit approach for cache-enabled cloud radio access networks. By optimizing message splitting, RRH clustering, and beamforming, the minimum secrecy rate is maximized and the transmit constraints are met, achieving significant gains.
This letter proposes a rate splitting (RS)-based secure transmit approach against multiple eavesdroppers in cache-enabled cloud radio access networks (C-2-RANs). Unlike existing secure schemes, our approach uses the common stream for dual purposes, serving as the desired message for legitimate users (LUs) and artificial noise (AN) for eavesdroppers. We jointly optimize message splitting, remote radio head (RRH) clustering, and beamforming to maximize the minimum secrecy rate among all LUs and to meet the fronthaul capacity and transmit power per RRH constraints. We transform the formulated problem into two-tier alternating optimization by constructing accurate surrogates for the non-convex objective functions and constraints. We solve the outer-tier and inner-tier problems with the semi-closed-form expressions and the convex framework, respectively. The proposed transmit approach achieves significant gains over existing schemes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据