5g环境下无线电资源管理与分配路径优化系统研究

Xuan Zhou, Xuefeng Wei
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引用次数: 0

摘要

近年来,随着无线通信业务的快速增长,以及人们对无线通信信息传输速率和质量的要求越来越高,可用的频谱资源越来越稀缺。因此,如何充分利用频谱资源已成为无线通信技术发展的关键问题。认知无线电作为一项能够有效提高频谱利用率的关键技术,已成为无线通信研究的新热点。为了解决现实生活中大多数认知无线电场景中存在多主用户且用户活跃度高的问题,提出了一种基于多主用户活跃度的多功率认知接入策略。从理论上推导了该策略下认知系统吞吐量的数学表达式,并进行了计算机仿真。结果表明,所提出的认知接入机制使认知用户能够选择最优的授权信道进行传输,并自适应地采用多功率接入策略,既减少了对授权用户的干扰,又使认知系统的容量最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
5 G Research on Path Optimization System of Radio Resource Management and Distribution in the Context
In recent years, with the rapid growth of wireless communication services and the increasing requirements for the transmission rate and quality of wireless comunication information, the available spectrum resources have become increasingly scarce. Therefore, how to make full use of spectrum resources has become a key issue in the development of wireless communication technology. As a key technology that can effectively improve spectrum utilization, cognitive radio has become a new hotspot in wireless communication research. In order to solve the problem that most cognitive radio scenarios have multiple primary users with strong activity in real life, a multi power cognitive access strategy based on the activity of multiple primary users is proposed. The mathematical expression of cognitive system throughput under the strategy is derived theoretically, and the computer simulation is carried out. The results show that the proposed cognitive access mechanism enables cognitive users to choose the optimal authorized channel for transmission, and adaptively adopts multi power access strategy, which not only reduces the interference to authorized users, but also maximizes the capacity of cognitive system.
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