Robust and Energy Efficient Signal Processing for Massive MIMO Communication

用于大规模 MIMO 通信的稳健且节能的信号处理

• 批准号: RGPIN-2015-04550
• 负责人: Zhu, WeiPing
• 金额: $ 2.19万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637477
• 关键词: Robust; Energy; Efficient; Signal; Processing

Recently, telecommunication industries have paid more attention to the fifth-generation (5G) communication networks. The 5G technology will likely feature network intelligence to provide users with very fast yet seamless access to different radio air interfaces in various complicated environments. Meanwhile, green communication is drawing a great deal of attention worldwide, in which energy efficiency becomes one of the major design objectives in future 5G networks. Motivated by the increasing demands for better services in cellular networks, such as higher transmission rate, link reliability, ubiquitous access to internet etc, massive multiple-input multiple-output (MIMO) or large-scale MIMO is considered as one of the enabling and promising technologies for 5G wireless communication. Although MIMO has been developed as a mature technology over the last decade, massive MIMO is relatively new. Despite the merits of massive MIMO, its use in practical mobile environments faces some difficulties. One of its major limitations is that its performance depends largely on the channel state information (CSI), which is very difficult to obtain either through measurement or by channel estimation, especially when the number of antennas deployed is very large. Another restriction is the limited battery power in mobile terminals that affects severely the wireless transmission performance and link capacity. To realize broad-band and energy efficient green communications, more effort should be devoted to the development of intelligent wireless networks that can optimally and adaptively allocate the available resources based on channel condition, link reliability and total system power as a whole.

最近，电信行业更加关注第五代（5G）通信网络。5G技术可能具有网络智能，为用户提供在各种复杂环境中非常快速但无缝地访问不同无线电空中接口的功能。与此同时，绿色通信在全球范围内引起了极大的关注，其中能源效率成为未来5G网络的主要设计目标之一。受蜂窝网络中对更好服务的日益增长的需求（诸如更高的传输速率、链路可靠性、无处不在的互联网接入等）的推动，大规模多输入多输出（MIMO）或大规模MIMO被认为是用于5G无线通信的使能和有前途的技术之一。虽然MIMO在过去十年中已经发展为成熟的技术，但大规模MIMO相对较新。尽管大规模MIMO具有优点，但其在实际移动的环境中的使用面临一些困难。其主要局限性之一是其性能在很大程度上取决于信道状态信息（CSI），这是非常困难的，无论是通过测量或信道估计，特别是当部署的天线数量是非常大的。另一个限制是移动的终端中有限的电池功率，其严重影响无线传输性能和链路容量。为了实现宽带和节能的绿色通信，更多的努力应该致力于智能无线网络的发展，可以优化和自适应地分配可用资源的基础上的信道条件，链路可靠性和系统总功率作为一个整体。