Advanced signal processing techniques for multi-user multiple-input multiple-output broadband wireless communications.

无线通信技术领域目前正在经历巨大的扩展，这是由包括无线互联网和多媒体通信的许多不同的和特别引人注目的商业、政府和消费者应用的快速扩散所带来的。随着无线产业变得无处不在和流行，可以说当前无线通信系统的最关键条件是需要大得多的容量来同时支持多个用户。由于多径衰落无线信道和共信道干扰的性质，使用无线技术支持这样的要求提出了重大的技术挑战。在这种情况下，多输入多输出（MIMO）技术由于在提高移动的蜂窝和自组织局域网中的无线通信的容量和范围方面的有效性而被识别为关键技术。由于对服务质量和容量的需求，以及MIMO架构的优势，开发多用户MIMO系统成为这一研究兴趣的关键驱动力。本文提出的研究的总体目标是为下一代协作多用户MIMO宽带蜂窝和ad hoc网络开发有效的信号处理策略。该项目开发的新系统和算法将使未来的无线网络能够尽可能接近容量限制，同时推动可服务的用户。对于无线用户来说，这一目标转化为更短的服务响应时间，更少的等待和更快的连接。

The field of wireless communications technology is currently undergoing tremendous expansion, which has been brought about by the rapid proliferation of many diverse and exceptionally compelling commercial, governmental, and consumer applications including wireless internet and multimedia communications. As the wireless industry becomes ubiquitous and popular, arguably the most critical condition of current wireless communications systems is the need for a much larger capacity to support multiusers simultaneously. Supporting such requirements using wireless techniques poses significant technical challenges due to the nature of multipath fading wireless channels and co-channel interferences. In this context, multiple-input multiple-output (MIMO) technology has been identified as a key technology because of effectiveness in improving the capacity and range of wireless communications both in mobile cellular and ad hoc local area networks. As a result of the need for quality of service and capacity, as well as the demonstrated benefits of the MIMO architectures, developing multiuser MIMO systems becomes the key driver in this proposed research interest. The overall aim of the research proposed herein is to develop efficient signal processing strategies for next generation cooperative multiuser MIMO broadband cellular and ad hoc networks. The new systems and algorithms developed in this project will enable the future wireless networks to push simultaneously serviceable users as near to the capacity limits as possible. For wireless users, this aim translates into shorter service response times, fewer waits and faster connections.