Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios

In addressing the challenge of the multiplicative fading introduced by passive reconfigurable intelligent surface (RIS) in high-speed railway scenarios, an effective solution is the deployment of an active RIS. However, the conventional fully-connected architecture of active RIS, characterized by a...

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Main Authors: DING Qingfeng, ZOU Zhixiang
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-05-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024150/
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author DING Qingfeng
ZOU Zhixiang
author_facet DING Qingfeng
ZOU Zhixiang
author_sort DING Qingfeng
collection DOAJ
description In addressing the challenge of the multiplicative fading introduced by passive reconfigurable intelligent surface (RIS) in high-speed railway scenarios, an effective solution is the deployment of an active RIS. However, the conventional fully-connected architecture of active RIS, characterized by a multitude of active elements, results in excessive hardware costs and power consumption. Consequently, a sub-connected architecture of active RIS was proposed, with the aim of simultaneously considering the system's energy efficiency and the transmission rate in train-ground communication. Initially, a system model for active RIS-assisted multi-user scenarios was established, taking into account the distinctive features of the high-speed railway environment. Subsequently, the problem of maximizing system energy efficiency was formulated by considering constraints on the maximum transmission power of the base station, the transmission power of the active RIS, and the phase-shift matrix of the active RIS. Through the utilization of Lagrange dual transformation and quadratic transformation from fractional programming theory, the non-convex problem was transformed into a convex optimization problem. Finally, an alternating optimization algorithm was proposed for the joint optimization of beamforming and the phase-shift matrix of the active RIS. Simulation results indicate that, compared to traditional passive RIS and fully-connected of active RIS architectures, the proposed solution effectively addresses the multiplicative fading issue. Additionally, the proposed solution achieves higher energy efficiency while meeting user transmission rate requirements.
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publisher Beijing Xintong Media Co., Ltd
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spelling doaj-art-f96bf6c1ef8c4b0b91bf75f4d37ac68f2025-01-15T03:33:30ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-05-0140384860129685Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenariosDING QingfengZOU ZhixiangIn addressing the challenge of the multiplicative fading introduced by passive reconfigurable intelligent surface (RIS) in high-speed railway scenarios, an effective solution is the deployment of an active RIS. However, the conventional fully-connected architecture of active RIS, characterized by a multitude of active elements, results in excessive hardware costs and power consumption. Consequently, a sub-connected architecture of active RIS was proposed, with the aim of simultaneously considering the system's energy efficiency and the transmission rate in train-ground communication. Initially, a system model for active RIS-assisted multi-user scenarios was established, taking into account the distinctive features of the high-speed railway environment. Subsequently, the problem of maximizing system energy efficiency was formulated by considering constraints on the maximum transmission power of the base station, the transmission power of the active RIS, and the phase-shift matrix of the active RIS. Through the utilization of Lagrange dual transformation and quadratic transformation from fractional programming theory, the non-convex problem was transformed into a convex optimization problem. Finally, an alternating optimization algorithm was proposed for the joint optimization of beamforming and the phase-shift matrix of the active RIS. Simulation results indicate that, compared to traditional passive RIS and fully-connected of active RIS architectures, the proposed solution effectively addresses the multiplicative fading issue. Additionally, the proposed solution achieves higher energy efficiency while meeting user transmission rate requirements.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024150/high-speed railwayreconfigurable intelligent surfacesub-connected structurebeamformingenergy efficiency
spellingShingle DING Qingfeng
ZOU Zhixiang
Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
Dianxin kexue
high-speed railway
reconfigurable intelligent surface
sub-connected structure
beamforming
energy efficiency
title Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
title_full Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
title_fullStr Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
title_full_unstemmed Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
title_short Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios
title_sort research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high speed railway scenarios
topic high-speed railway
reconfigurable intelligent surface
sub-connected structure
beamforming
energy efficiency
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024150/
work_keys_str_mv AT dingqingfeng researchonenergyefficiencyoptimizationassistedbyactivereconfigurableintelligentsurfaceinhighspeedrailwayscenarios
AT zouzhixiang researchonenergyefficiencyoptimizationassistedbyactivereconfigurableintelligentsurfaceinhighspeedrailwayscenarios