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Link to original content: https://doi.org/10.48550/arXiv.2311.05101
[2311.05101] Integrated Sensing and Communication for Network-Assisted Full-Duplex Cell-Free Distributed Massive MIMO Systems
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Computer Science > Information Theory

arXiv:2311.05101 (cs)
[Submitted on 9 Nov 2023 (v1), last revised 13 Nov 2023 (this version, v2)]

Title:Integrated Sensing and Communication for Network-Assisted Full-Duplex Cell-Free Distributed Massive MIMO Systems

Authors:Fan Zeng, Jingxuan Yu, Jiamin Li, Feiyang Liu, Dongming Wang, Xiaohu You
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Abstract:In this paper, we combine the network-assisted full-duplex (NAFD) technology and distributed radar sensing to implement integrated sensing and communication (ISAC). The ISAC system features both uplink and downlink remote radio units (RRUs) equipped with communication and sensing capabilities. We evaluate the communication and sensing performance of the system using the sum communication rates and the Cramer-Rao lower bound (CRLB), respectively. We compare the performance of the proposed scheme with other ISAC schemes, the result shows that the proposed scheme can provide more stable sensing and better communication performance. Furthermore, we propose two power allocation algorithms to optimize the communication and sensing performance jointly. One algorithm is based on the deep Q-network (DQN) and the other one is based on the non-dominated sorting genetic algorithm II (NSGA-II). The proposed algorithms provide more feasible solutions and achieve better system performance than the equal power allocation algorithm.
Comments: 14 pages, 7 figures,submit to China Communication February 28, 2023, date of major revision July 09, 2023
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2311.05101 [cs.IT]
  (or arXiv:2311.05101v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2311.05101

Submission history

From: Zeng Fan [view email]
[v1] Thu, 9 Nov 2023 02:24:59 UTC (7,794 KB)
[v2] Mon, 13 Nov 2023 07:26:14 UTC (7,794 KB)
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