摘要: |
针对高铁通信系统中链路频繁切换、基站位置偏远等固有劣势导致感知质量下降及运维成本高等问题,提出了一种融合能量收集与边缘缓存的高铁通信系统架构。为实现保证通信服务质量的同时优化系统能耗这个目标,以通信、缓存和能量资源为约束,构建联合系统信息服务量与系统电网能量消耗的收益函数,采用拉格朗日乘子法获得无线携能传输时间分配和基站发射功率分配方案,以Karush-Kuhn-Tucker(KKT)条件为理论基础推导基站缓存数据量与最优时间分配方案之间的关系,并将收益函数简化为仅与基站缓存策略相关的优化问题。仿真结果表明,所提出的基于贪婪算法的缓存策略能够有效提升系统通信服务质量并降低能耗,在不同偏度因子下,目标函数值相比现有概率缓存策略平均提升至少5%,同时系统电网能量消耗可降低约3%。 |
关键词: 高铁通信 无线携能传输(SWIPT) 能量收集 边缘缓存 |
DOI:10.20079/j.issn.1001-893x.240927002 |
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基金项目:2024年度重庆市自然科学基金创新发展联合基金(中国星网)(2024NSCQ-LZX0217) |
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A High-speed Rail Communication System with Energy Harvesting and Caching |
SHAO Ke,WU Songyang,QI Li,SUN Lei,XU Weiyang |
(1.The Third Research Institute of Ministry of Public Security,Shanghai 200031,China;2.School of Microelectronics and Information Engineering,Chongqing University,Chongqing 401331,China) |
Abstract: |
To address the inherent challenges in high-speed railway communication systems,such as frequent link handovers and remote base station locations,which result in degraded perceived quality and high operational costs,a high-speed railway communication system architecture integrating energy harvesting and edge caching is proposed.To achieve the goal of optimize system energy consumption while guaranteeing user communication quality,a profit function combining system information service volume and system grid energy consumption is constructed,constrained by communication,caching,and energy resources.The Lagrange multiplier method is employed to derive the simultaneous wireless information and power transfer(SWIPT) time allocation and base station transmission power allocation schemes.Based on the Karush-Kuhn-Tucker(KKT) conditions,the relationship between the amount of base station cache data and the optimal time allocation scheme is derived,and the revenue function is simplified into an optimization problem solely related to the base station caching strategy.The simulation results show that the proposed caching strategy based on greedy algorithm can effectively improve the quality of system communication services and reduce energy consumption.Under different skewness factors,the value of the objective function is on average at least 5% higher compared with that of existing probabilistic caching strategies,while the energy consumption of the system搒 electrical grid can be reduced by about 3%. |
Key words: high-speed rail communication simultaneous wireless information and power transfer(SWIPT) energy harvesting edge caching |