异构无线网络协作通信中的多目标分布式功率控制与分配研究

异构性是当前和未来无线网络的固有特性。异构网络间的协作通信是宽带无线通信的发展趋势。功率控制与分配是异构无线网络协作通信的关键技术和无线资源管理的核心内容。由于涉及多个异构网络、多种业务类型、多种服务质量要求，异构无线网络协作通信的功率控制与分配相当复杂，已有、传统的主要针对单网、单种业务的功率控制与分配方法不能简单应用，亟需开展新的研究。本项目拟对异构无线网络协作通信的功率控制与分配的相关理论与技术进行深入研究，包括：源节点的多目标分布式功率控制，基于多准则组合优化的协作中继选择及其多目标分布式功率分配，基于多准则组合优化的网络选择及其多目标分布式功率分配，以及源节点的分布式功率控制与网络的分布式功率分配的联合优化。这些研究内容相互关联，是提高异构无线网络协作通信系统性能、增大系统容量、扩大系统覆盖范围、提高系统传输速率的基础理论与关键技术，因此研究成果必将具有重要的理论意义和应用价值。

Heterogeneity is an intrinsic characteristic in current and future wireless networks. Cooperative communication between heterogeneous networks is the development trend of the broadband wireless communications. Power control and allocation is the key technology and the core content of the radio resource management for the heterogeneous wireless networks cooperative communications. Since involving multiple heterogeneous networks, variety of business types, and variety of quality of service requirements, the power control and allocation in the heterogeneous wireless networks cooperative communications is quite complex; and the existing, traditional power control and allocation methods mainly for a single homogeneous network and a single type service can not simply apply, thus new research on this topics need to be urgently carried out. This project intends to in-depth study the related theory and technology of power control and allocation for the heterogeneous wireless networks cooperative communications, including the multi-objective distributed power control of the source node, the choice based on a combination of multiple criteria optimization and the multi-objective distributed power allocation of the cooperative relays, the choice based on a combination of multiple criteria optimization and the multi-objective distributed power allocation of cooperative networks, as well as the joint optimization for the source node power control and cooperative networks power allocation. These studies are interrelated and the basic theory and key technology to improve system performance, increase system capacity, expand the system coverage, and improve the system transmission rate. Therefore, the research results consequentially have important theoretical significance and application value.