非正交AF协作网络中基于模糊优化的绿色无线电资源分配技术研究

Radio resource management (RRM) for improving the power efficiency and decreasing the intensity of electromagnetic radiation has become an important issue for future Green radio communication systems. In this proposal, with the aid of fuzzy optimization theory, we intend to maximize a system-level utility in a non-orthogonal relay-assisted network via the distributed cooperative user selection and the power allocation under different constraints, e.g., imperfect channel state information feedback, QoS constraints, and individual as well as sum power constraints, where the user-level and the system-level utility functions are defined to increase the power efficiency and decrease the interference intensity among the destination users.. Firstly, we will mathematically derivate the optimization problems mentioned above under the related constraints. Then, based on the fuzzy optimization theory, we intend to obtain the optimum solution of cooperative user selection and power allocation to maximize the system-level utility in a non-orthogonal relay-assisted network: ① Quantify the impacts of different constraints on the efficiency of RRM and determine the optimal solution for maximizing the system-level utility;② Guarantee the fairness of user-level utilities among the multiple destination users and introduce a utility weighting factor to adjust the fairness among the destination users;③ Propose the RRM algorithm(s) for joint power allocation and cooperative user selection to achieve the maximal system-level utility. Finally, a self-study algorithm for cooperative user selection and power allocation will be proposed to maximize system-level utility. In this case, the optimal cooperation strategy for maximizing the system-level utility is implemented by the cooperative users rather than a centralized controller, which is more beneficial for reducing the signaling overhead and computational complexity for the cooperating communication systems.. The final target of this proposal is to investigate the distributed RRM strategies, in which the fairness among the destination users is guaranteed, to realize the "Green radio" in terms of system-level utility optimization in a non-orthogonal AF relay-assisted network with imperfect channel state information feedback. Our research results will provide significant contributions to the theory of non-orthogonal AF relay-assisted "Green radio" communications.

在通信领域如何提高功率效用和降低电磁干扰强度是实现绿色无线电的核心问题之一。本课题探究非正交AF协作网络中，协作用户如何在相关约束条件下基于模糊优化确定系统级最优的协作用户选择和功率分配策略并实现绿色通信。首先在非完整全局信息约束及其它约束条件下，研究科学问题的数学表征；然后通过模糊优化研究得到系统级最优的资源分配策略：①量化相关条件对优化效率的影响，确定系统级最优化策略的存在性及筛选；②推动系统级效用最优过程中，分析并保证个体效用的公平性；③协作用户选择及功率分配的联合设计。最后研究协作用户自学习算法实现系统级最优策略，其中考虑到协作用户依赖历史经验和本地观察，通过权衡各种优化解的可能性来自主确定系统级最优策略。本课题旨在解决如何确定公平高效的资源分配策略以在非正交AF协作网络中实现绿色通信的系统级最优目标的问题。其研究结果将为非正交AF协作绿色通信的系统性理论提供有益积累和支撑。

本课题主要探究非正交AF协作网络中，协作用户如何在相关约束条件下基于模糊全局信息确定系统级最优的协作用户选择和功率分配策略实现绿色通信。首先在非完整全局信息约束条件及其它约束条件下，研究科学问题的数学表征；然后通过基于模糊信息的优化研究得到系统级最优的资源分配策略：①量化相关条件对优化效率的影响，确定系统级最优化策略的存在性及筛选；②推动系统级效用最优过程中，分析并保证个体效用的公平性；③通过协作用户选择及功率分配的联合设计实现资源的高效分配，达到节能降耗的目的。.研究过程中，本课题主要考虑了完整和非完整（即模糊）全局信息条件下非正交AF协作网络中的资源分配问题，提出了包括非自私共生认知中继系统中基于非完整全局信息的功率分配、最大最小公平性约束下非正交AF协作网络中功率优化分配、非正交AF中继辅助的上行链路异构数据传输中的最优功率分配、面向非自私感知中继协作传输的时间与能量联合优化分配等资源分配策略，实现了资源的高效、公平分配，达到了通信系统节能降耗的目的。截至目前已出版SCI检索期刊论文3篇、EI检索期刊论文1篇、EI检索会议论文8篇，授权专利1项，申请专利1项，另外有2篇SCI检索期刊论文正在审稿中。本课题的研究结果将为非正交AF协作绿色通信的系统性理论提供有益积累和支撑。