复杂信道环境下分布式机会协作传输接入理论及算法研究

Holding the dynamic variation of network topology and wireless channels in mind, most existing cooperative diversity work draws tremendous attention to centralized scheduling access to maximize the spectrum efficiency. However, such schemes require abundant energy at base stations and do not fit for distributed wireless networks which are rapid deployment and low pricing. Aiming at social resource saving and environment-friendly strategic demand, this project probes for the cooperative opportunistic access methods in the field of distributed wireless networks under various and complex channel environment, including the terminal user opportunistic selection, correlation measurement of diversity channel and interference avoidance, efficient utilization theory of imperfect channel state information (CSI), green energy utility model, cooperative flow scheduling and random access algorithms. We discuss the mathematical model of multi-user array antennas and obtain the correlated channel model based on memory Markov chains under various conditions. Then, terminal user cooperative access selection schemes are advanced with imperfect CSI, according to interference avoidance. Considering the random theory, we develop the access probability for optimal energy efficiency and a cross layer model of service process jointly flow congestion control. Besides, we also propose novel cooperative channel access algorithms through flow control and random probability approach, respectively. This project research is carried out from the existed academic hotspots and difficult problems. The obtained results and conclusions can be partial theoretical and technical bases for the future wireless communication systems.

针对网络拓扑与无线信道动态变化的特性,现有协作分集通常采用集中调度接入方式对频谱资源进行有效挖掘,但这种方式需要消耗基站大量的能量资源,不适合灵活布网、成本低廉的分布式无线网络。本项目研究多变复杂信道环境下分布式无线网络机会协作传输频谱接入的相关问题，目标是迎合资源节约、环境友好的社会战略需求，涉及的内容包括终端用户机会选择、分集信道空间相关性度量及干扰避免、非完全信道状态信息（CSI）有效利用理论、绿色能效模型、协作流调度及随机接入新算法，探讨多用户阵列天线的数学模型；研究多变环境下基于有记忆马尔科夫链的相关信道建模；研究在非完全CSI条件下基于干扰避免的终端用户协作接入选择；利用随机理论给出优化能效的接入概率、联合流拥塞控制给出服务过程跨层模型；提出基于流控制及随机概率的协作信道接入新算法。本项目从当前的学术热点及难题展开研究，所得成果将为未来无线通信的发展提供部分理论依据和技术基础。

现有协作分集通常采用集中调度接入方式对频谱资源进行有效挖掘,但这种方式需要消耗基站大量的能量资源,不适合灵活布网、成本低廉的分布式无线网络。针对于此，本项目研究分布式无线网络中协作频谱接入的相关问题，建立多用户阵列天线的数学模型；研究多变环境下基于有记忆马尔科夫链的相关信道建模；研究在非完全CSI 条件下基于干扰避免的终端用户协作接入选择；利用随机理论给出优化能效的接入概率、联合流拥塞控制给出服务过程跨层模型；提出基于流控制及随机概率的协作信道接入新算法。取得了一系列有特色的创新性成果，所得成果为未来无线通信的发展提供部分理论依据和技术基础。