A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems

被引:1
|
作者
Liu, Meng [1 ]
Yang, Minglei [1 ]
Wei, Fa [1 ]
Li, Huifang [2 ]
Zhang, Zhaoming [1 ]
Nallanathan, Arumugam [3 ]
Hanzo, Lajos [4 ]
机构
[1] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[4] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 05期
基金
英国工程与自然科学研究理事会; 欧洲研究理事会; 中国国家自然科学基金;
关键词
Internet of Things; Sensors; Performance evaluation; Hardware; Signal to noise ratio; Resource management; Optimization; Integrated sensing and communication (ISAC); nonorthogonal transmission (NO-T); performance analysis; power allocation (PA); MIMO CELLULAR-SYSTEMS; MULTIPLE-ACCESS; PERFORMANCE ANALYSIS; RESOURCE-ALLOCATION; COMMUNICATION-SYSTEMS; CHANNEL ESTIMATION; POWER ALLOCATION; JOINT RADAR; OPTIMIZATION; COEXISTENCE;
D O I
10.1109/JIOT.2023.3318314
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An integrated sensing and communication (ISAC) system is investigated, where the base station (BS) provides both uplink and downlink Internet of Things (IoT) services as well as target sensing services. Furthermore, nonorthogonal transmission (NO-T) is introduced for improving the spectrum efficiency. The deleterious effects of hardware impairments, channel estimation errors, and imperfect successive interference cancellation are taken into account. Both the exact and asymptotic outage probabilities ( OPs) of the IoT devices as well as the Probability of successful Detection (PoD) are derived for characterizing the communication and sensing (C&S) performances. As a further development, in the presence of the sensing requirements, a communication-centric power allocation (PA) problem is formulated for maximizing the sum rate of the IoT devices. Given the nonconvexity of the problem, an alternating optimization algorithm is developed for finding a near-optimal PA. The simulation results confirm the accuracy of the analysis and demonstrate that: 1) the above nonideal factors degrade the C&S performances; 2) the NO-T ISAC system considered outperforms pure ISAC in terms of both its OP and PoD; and 3) compared to other baseline PA schemes, the proposed algorithm maximizes the sum rates while meeting the sensing requirements.
引用
收藏
页码:8224 / 8239
页数:16
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