Cell-free massive MIMO with limited-capacity backhaul: Power control and quantization optimization

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-03-19 DOI:10.1016/j.phycom.2025.102652

Hanquan Gu, Qi Zhang, Zewei Chai, Jun Zhang

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引用次数: 0

Abstract

Cell-free massive multiple-input multiple-output (CF-mMIMO) has drawn considerable attention recently due to the advanced performance. However, its application is constrained by the practical limitation of backhaul capacity. In this paper, we study a CF-mMIMO system with limited-capacity backhaul, and compress the amount of transmitted data by adjusting the signal quantization accuracy. Different from previous works, we assume a flexible quantization noise power among different backhauls, and both the uplink pilot and downlink data quantization are considered. With zero-forcing precoding, the energy efficiency of the user is derived after considering the power consumption on the system. Based on it, we jointly optimize the data power control and the quantization noise power that maximizes the energy efficiency, through an alternative process. Simulations have verified the effectiveness of our optimal results. Moreover, we find that to achieve the best energy efficiency, different quantization accuracies should be employed on different backhaul, when the access point and the central processing unit transmit information to each other.

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.