5G is a new generation mobile communication system which is to be commercialized in the year beyond 2020. Recently, 5G has captured the attention and imagination of researchers and engineers around the world. Compared to the current 4G, 5G makes a revolutionary innovation in the wireless transmission technology as well as the wireless architecture. On the one hand, these innovation makes it possible for 5G to achieve a 1000x increase in the aggregate data rate and a 10x increase in both spectral efficiency and power efficiency; on the other hand, these innovation also poses significant research challenges in both communication theory and technology...This project will study several optimal resource allocation problems arising from 5G mobile communications such as the joint base station clustering and beamforming design problem, the robust joint power and admission control problem, the multi-time scale joint base station activation and beamforming design problem. One common feature of the aforementioned resource allocation problems is that it is desirable that their solution enjoys some sparse property. This project aims to give novel sparse formulations of these resource allocation problems, analyze their computational complexity, and design efficient algorithms for solving them by taking their special structures into consideration. This project will also summarize/generalize these special sparse optimization problems from 5G mobile communications, propose a class of new sparse optimization models, and develop new sparse optimization theory and algorithms.
第5代(5G)移动通信系统是面向2020之后的新一代移动通信系统。近年来,5G已成为世界范围内学术界和工业界的研究热点。相比于4G,5G移动通信在无线传输技术和无线网络架构等方面都有革命性的技术创新。这些创新一方面可以实现5G移动数据业务量千倍增长、频谱效率和功率效率十倍提升的目标;另一方面也给研究者们提出了新的更具挑战性的基础理论和关键技术问题。..本项目将重点研究5G移动通信中的最优资源分配问题,包括基站分簇与波束成形联合设计问题、鲁棒联合接入/功率控制问题、多时间尺度的联合基站开关与波束成形设计问题等。这些问题的共同特点是我们希望其最优解具有某种稀疏性。本项目将重点研究如何建立这些资源分配问题的稀疏优化模型、分析其计算复杂性、并利用其特殊结构设计高效的稀疏优化算法。基于上述几类特殊的稀疏优化模型,本项目也将提出新的一般的稀疏优化模型并发展新的稀疏优化理论与算法。
第5代(5G)移动通信系统是面向2020之后的新一代移动通信系统。近年来,5G已成为世界范围内学术界和工业界的研究热点。相比于4G,5G移动通信在无线传输技术和无线网络架构等方面都有革命性的技术创新。这些创新一方面可以实现5G移动数据业务量千倍增长、频谱效率和功率效率十倍提升的目标;另一方面也给研究者们提出了新的更具挑战性的基础理论和关键技术问题。..本项目重点研究了几类5G移动通信中出现的最优资源分配问题。这些问题的共同特点是我们希望其最优解具有某种稀疏性。本项目重点研究了如何建立这些资源分配问题的稀疏优化模型、分析其计算复杂性、并利用其特殊结构设计高效的稀疏优化算法。基于上述几类特殊的稀疏优化模型,本项目也提出了新的一般的稀疏优化模型并发展新的稀疏优化理论与算法。
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数据更新时间:2023-05-31
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