journal article·2025-11-12Open access

Cross-Layer Performance Modeling and MAC-Layer Algorithm Design for Power Line Communication Relay Systems

Zhixiong Chen, Pengjiao Wang, Tianshu Cao, Jiajing Li, Peiru Chen

Applied Sciences· Volume 15· Issue 22

Abstract

In intelligent meter reading and other applications, power line communication can use relay technology to solve the problem of cross-station or long-distance reliable communication. This study investigates the combined impact of the physical and Media Access Control (MAC) layers on power line relay communication system performance. To this end, cross-layer modeling, optimization, and simulation analysis integrating both layers are conducted. Based on the CSMA algorithm of IEEE 1901 protocol, a cross-layer performance analysis model of two-hop relay power line communication system is established considering the influence of non-ideal channel transmission at physical layer and competitive access at MAC layer on system performance. In order to reduce the high collision probability caused by two competitions of packets in the above scheme, an improved two-hop transmission algorithm based on CSMA-TDMA is proposed. The cross-layer performance of the system under different single-hop and two-hop schemes is compared, and the mechanism of how parameters such as the MAC layer and the physical layer affect the cross-layer performance of the power line communication system is analyzed. And the optimal power allocation factor is obtained by using the sequential quadratic programming method for the joint system throughput and packet loss rate optimization model with the two-hop power constraint. Simulation results show that the two-hop transmission scheme based on CSMA-TDMA can avoid the second-hop competition and backoff process, and has better performance in terms of throughput, packet loss rate, and delay.
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Research context

OpenAlex topics: Power Line Communications and Noise · IoT Networks and Protocols · PAPR reduction in OFDM

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electronics and Communication Engineering, North China Electric Power University, Baoding 071003, China

Hebei Key Laboratory of Power Internet of Things Technology, Baoding 071003, China

State Grid Urumqi Power Supply Company, Urumqi 830000, China

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