Robust Beamforming Design for RIS-Aided NOMA Secure Networks With Transceiver Hardware Impairments

收发机 计算机科学 人为噪声 波束赋形 时分多址 干扰(通信) 电子工程 计算机网络 发射机 无线 电信 工程类 频道(广播)
作者
Qian Zhang,Ju Liu,Zhichao Gao,Ziyu Li,Zhiying Peng,Zheng Dong,Hongke Xu
出处
期刊:IEEE Transactions on Communications [Institute of Electrical and Electronics Engineers]
卷期号:71 (6): 3637-3649 被引量:2
标识
DOI:10.1109/tcomm.2023.3251345
摘要

Integrating reconfigurable intelligent surface (RIS) and non-orthogonal multiple access (NOMA) provides a promising solution to support large-scale secure communications. However, reducing the impact of transceiver hardware impairments (HWI) on the performance of RIS-aided NOMA secure networks remains a challenge. In this paper, we propose a robust transmission scheme for RIS-aided NOMA secure networks with transceiver HWI under two proposed eavesdropping scenarios and two artificial noise methods. A closed-form expression for the distortion noise power caused by transceiver HWI in NOMA networks is derived to quantify transceiver HWI. The sum secrecy rate of NOMA users with imperfect successive interference cancellation (SIC) is maximized under distortion noise for more robust security. Further, to tackle the resulting non-convex problem, we decompose it into two sub-problems. Both of them are converted into convex problems using the multi-dimensional quadratic transform (MDQT) method, semi-definite relaxation (SDR) technique, and the successive convex approximation (SCA) algorithm, and then employing the alternate optimization (AO) algorithm solve them. Numerical results demonstrate that the proposed scheme has superior security performance over orthogonal multiple access (OMA) networks, time division multiple access (TDMA) networks, and traditional NOMA networks, achieving more robust performance than the conventional scheme that ignores HWI and imperfect SIC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
渠安完成签到 ,获得积分10
刚刚
1秒前
ggn发布了新的文献求助10
1秒前
酷波er应助Adzuki0812采纳,获得10
2秒前
快乐小刘发布了新的文献求助10
2秒前
2秒前
科研通AI5应助yuxiaobolab采纳,获得10
2秒前
科研通AI5应助yuxiaobolab采纳,获得10
2秒前
科研通AI5应助yuxiaobolab采纳,获得20
2秒前
luoweicong发布了新的文献求助10
3秒前
烟雨别离完成签到,获得积分10
3秒前
感动书文完成签到,获得积分10
3秒前
华仔应助无语的钢铁侠采纳,获得30
4秒前
jiang完成签到,获得积分10
4秒前
好梦完成签到,获得积分10
5秒前
今后应助阿蒙采纳,获得10
6秒前
7秒前
SYLH应助卷心菜采纳,获得10
7秒前
one发布了新的文献求助10
7秒前
8秒前
8秒前
名词完成签到,获得积分10
9秒前
JIE完成签到,获得积分10
9秒前
SciGPT应助易安采纳,获得10
10秒前
luoweicong完成签到,获得积分20
10秒前
天天快乐应助年少丶采纳,获得10
10秒前
djsj应助哈哈采纳,获得10
11秒前
11秒前
无奈念薇完成签到 ,获得积分10
12秒前
MJY发布了新的文献求助10
12秒前
夜雨微凉完成签到,获得积分10
13秒前
脑洞疼应助upward采纳,获得10
13秒前
13秒前
14秒前
Akim应助疯狂的冰旋采纳,获得10
14秒前
燕燕于飞发布了新的文献求助30
15秒前
情怀应助riqiu采纳,获得10
16秒前
好梦发布了新的文献求助50
16秒前
NexusExplorer应助一颗红葡萄采纳,获得10
16秒前
ceeray23发布了新的文献求助111
16秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3483504
求助须知:如何正确求助?哪些是违规求助? 3072815
关于积分的说明 9128148
捐赠科研通 2764341
什么是DOI,文献DOI怎么找? 1517190
邀请新用户注册赠送积分活动 701937
科研通“疑难数据库(出版商)”最低求助积分说明 700797