认知无线电系统频谱共享技术研究
发布时间：2018-11-03 15:59
【摘要】：随着人类信息社会的发展,各种无线电新型业务飞速增长,人们对于无线频谱资源的需求也越来越大。认知无线电技术可以智能地感知周围无线系统的空闲频谱,并伺机接入空闲频谱进行通信,实现了频谱资源的共享,显著地提高了频谱效率。基于博弈论的频谱共享技术是目前广泛采用的频谱共享方式,通过共享策略的纳什均衡确保每个用户的效益最大化,可以有效地提高频谱资源的利用率,已经成为认知无线电领域研究的热点方向。本文深入研究了认知无线电技术的基本原理及关键技术,介绍了博弈论技术的基本原理及应用。在此基础上,给出了博弈论应用于认知无线电系统频谱共享技术的适用性分析,并分别提出基于价格的频谱共享算法和基于传输速率的频谱共享算法。传统的频谱共享算法中,频谱价格仅考虑认知用户的频谱需求量,而在实际中,频谱价格不仅与认知用户的需求量有关,还与主用户的供给量有关,同时主用户提供不同频段的频谱特性对认知用户的传输质量有很大的影响。针对这一问题,本文提出基于价格的频谱共享算法,通过引入频谱供给量和频段参数,重新定义了认知用户的价格函数,反映主用户对频谱供给量的控制权以及主用户共享频谱的意愿,与传统算法相比,所提算法提高了频谱利用率,更加贴近实际的网络状况。考虑到认知无线电系统应能提供包括数据、语音等多种业务的服务,认知用户具有不同的服务质量(Quality of Service, QoS)需求,特别是对于传输速率需求较高。在此基础上本文提出基于传输速率的频谱共享算法,将认知用户的传输速率作为目标函数,定义有效的效用函数,能够根据最低需求传输速率自适应地调整实际的传输速率,最大化地满足了认知用户的需求,有效地避免了频谱资源的浪费。仿真结果表明,与传统算法相比,所提算法显著提高了频谱的利用率。
[Abstract]:With the development of human information society, various new radio services are growing rapidly, and the demand for wireless spectrum resources is also increasing. Cognitive radio technology can intelligently perceive the idle spectrum of the surrounding wireless system and access the idle spectrum to communicate. It realizes the sharing of spectrum resources and significantly improves the spectrum efficiency. The spectrum sharing technology based on game theory is widely used at present. The Nash equilibrium of sharing strategy ensures the maximum benefit of each user, which can effectively improve the utilization ratio of spectrum resources. It has become a hot research direction in the field of cognitive radio. In this paper, the basic principle and key technology of cognitive radio technology are studied, and the basic principle and application of game theory technology are introduced. On this basis, the applicability of game theory applied to spectrum sharing in cognitive radio systems is analyzed, and a price-based spectrum sharing algorithm and a transmission rate-based spectrum sharing algorithm are proposed, respectively. In the traditional spectrum sharing algorithm, the spectrum price only considers the spectrum demand of the cognitive user. In practice, the spectrum price is not only related to the demand of the cognitive user, but also to the supply of the primary user. At the same time, the transmission quality of cognitive users is greatly affected by the spectrum characteristics of different frequency bands provided by primary users. To solve this problem, a price-based spectrum sharing algorithm is proposed in this paper. By introducing spectrum supply and frequency band parameters, the price function of cognitive users is redefined. Compared with the traditional algorithm, the proposed algorithm improves the spectrum efficiency and is more close to the actual network condition, which reflects the control power of the primary user on the spectrum supply and the willingness of the primary user to share the spectrum. Considering that cognitive radio system should be able to provide a variety of services including data voice and other services cognitive users have different quality of service (Quality of Service, QoS) requirements especially for the high demand for transmission rates. On this basis, a spectrum sharing algorithm based on transmission rate is proposed, which takes the transmission rate of cognitive user as the objective function, defines an effective utility function, and adaptively adjusts the actual transmission rate according to the minimum transmission rate. It maximizes the needs of cognitive users and effectively avoids the waste of spectrum resources. The simulation results show that the proposed algorithm improves the spectral efficiency significantly compared with the traditional algorithm.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN925
[Abstract]:With the development of human information society, various new radio services are growing rapidly, and the demand for wireless spectrum resources is also increasing. Cognitive radio technology can intelligently perceive the idle spectrum of the surrounding wireless system and access the idle spectrum to communicate. It realizes the sharing of spectrum resources and significantly improves the spectrum efficiency. The spectrum sharing technology based on game theory is widely used at present. The Nash equilibrium of sharing strategy ensures the maximum benefit of each user, which can effectively improve the utilization ratio of spectrum resources. It has become a hot research direction in the field of cognitive radio. In this paper, the basic principle and key technology of cognitive radio technology are studied, and the basic principle and application of game theory technology are introduced. On this basis, the applicability of game theory applied to spectrum sharing in cognitive radio systems is analyzed, and a price-based spectrum sharing algorithm and a transmission rate-based spectrum sharing algorithm are proposed, respectively. In the traditional spectrum sharing algorithm, the spectrum price only considers the spectrum demand of the cognitive user. In practice, the spectrum price is not only related to the demand of the cognitive user, but also to the supply of the primary user. At the same time, the transmission quality of cognitive users is greatly affected by the spectrum characteristics of different frequency bands provided by primary users. To solve this problem, a price-based spectrum sharing algorithm is proposed in this paper. By introducing spectrum supply and frequency band parameters, the price function of cognitive users is redefined. Compared with the traditional algorithm, the proposed algorithm improves the spectrum efficiency and is more close to the actual network condition, which reflects the control power of the primary user on the spectrum supply and the willingness of the primary user to share the spectrum. Considering that cognitive radio system should be able to provide a variety of services including data voice and other services cognitive users have different quality of service (Quality of Service, QoS) requirements especially for the high demand for transmission rates. On this basis, a spectrum sharing algorithm based on transmission rate is proposed, which takes the transmission rate of cognitive user as the objective function, defines an effective utility function, and adaptively adjusts the actual transmission rate according to the minimum transmission rate. It maximizes the needs of cognitive users and effectively avoids the waste of spectrum resources. The simulation results show that the proposed algorithm improves the spectral efficiency significantly compared with the traditional algorithm.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN925
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