项目名称: 干扰协作多基站宽带无线网络容量和干扰管理研究
项目编号: No.61271230
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 无线电电子学、电信技术
项目作者: 束锋
作者单位: 南京理工大学
项目金额: 76万元
中文摘要: 频谱和能源均是稀缺资源,高频谱效率和高能效的绿色无线传输技术具有重要的理论价值和可观的经济效益。本项目研究绿色高频谱效率且高能效的干扰协作多基站宽带无线网络容量与下行链路传输技术: 建立考虑天线极化、阴影衰落以及干扰的复杂信道模型并推导对应的信道容量、容量界和自由度的解析公式,为链路传输提供信息论基础;构造可达网络自由度的宽带干扰对齐方案,实现有效的干扰管理;给出基于干扰对齐、博弈论和凸优化的最优宽带功率分配算法,然后发展基于干扰对齐和功率分配的交替迭代结构, 最小化干扰影响,逼近容量和,充分挖掘多用户分集和功率维增益;分别针对功率分配向量和干扰对齐预编码矩阵,设计基于向量量化和微分流形的高效旋转差分独立双码本, 实现有限反馈的高速率与高性能传输,同时抑制干扰。本项目涉及多蜂窝网络容量、链路传输与核心专利,为我国新一代基于多蜂窝协作的宽带无线通信网络提供理论支撑、关键技术和全新的解决方案。
中文关键词: 多蜂窝多用户MIMO;和速率;预编码;信道模型;功率分配
英文摘要: Since frequency spectrum and energy are both rare resources,green wireless transmission techniques with high spectrum efficiency and high energy efficiency show important values of theory and bring large economic profit. This project focuses on the research about capacity and downlink transmission in interference cooperative multi-BS wideband green wireless networks with high spectrum efficiency and energy efficiency: the complicated channel model considering the effects of antenna polarization, shadow-fading, and interference will be established and the closed-form expressions for capacity, capacity bounds, and degrees of freedom (DoF) will be derived, these will provide an information theory basis for link transmission; wideband interference alignment (AI)schemes will be constructed to achieve the DoF of network and to realize the effective interference management; an optimal wideband power allocation algorithm is designed based on AI,game theory, and convex optimization, then an alternating iterative structure between PA and AI is developed to minimize the impact of interference, to approach the sum capacity , and to fully exploit the multiuser diversity and PA gains in multi-cell wireless networks; Finally, to achieve a high-speed and high-performance limited feedback transmission, and to reduce the effec
英文关键词: MC-MU-MIMO;sum-rate;precoding;channel model;power allocation