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Computer Science > Information Theory

arXiv:2108.07091 (cs)
[Submitted on 16 Aug 2021]

Title:Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications

Authors:Yashuai Cao, Tiejun Lv, Wei Ni, Zhipeng Lin
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Abstract:This paper proposes to deploy multiple reconfigurable intelligent surfaces (RISs) in device-to-device (D2D)-underlaid cellular systems. The uplink sum-rate of the system is maximized by jointly optimizing the transmit powers of the users, the pairing of the cellular users (CUs) and D2D links, the receive beamforming of the base station (BS), and the configuration of the RISs, subject to the power limits and quality-of-service (QoS) of the users. To address the non-convexity of this problem, we develop a new block coordinate descent (BCD) framework which decouples the D2D-CU pairing, power allocation and receive beamforming, from the configuration of the RISs. Specifically, we derive closed-form expressions for the power allocation and receive beamforming under any D2D-CU pairing, which facilitates interpreting the D2D-CU pairing as a bipartite graph matching solved using the Hungarian algorithm. We transform the configuration of the RISs into a quadratically constrained quadratic program (QCQP) with multiple quadratic constraints. A low-complexity algorithm, named Riemannian manifold-based alternating direction method of multipliers (RM-ADMM), is developed to decompose the QCQP into simpler QCQPs with a single constraint each, and solve them efficiently in a decentralized manner. Simulations show that the proposed algorithm can significantly improve the sum-rate of the D2D-underlaid system with a reduced complexity, as compared to its alternative based on semidefinite relaxation (SDR).
Comments: accepted by IEEE Transactions on Communications
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2108.07091 [cs.IT]
  (or arXiv:2108.07091v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2108.07091
Related DOI: https://doi.org/10.1109/TCOMM.2021.3106334

Submission history

From: Yashuai Cao [view email]
[v1] Mon, 16 Aug 2021 13:47:28 UTC (16,995 KB)
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