CAREER: Signal Processing for Multiuser Multiantenna Wireless Communications

艾琳·伊内尔宾夕法尼亚州立大学公园无线接入的重要性与日俱增。无绳化的广泛社会影响从在紧急情况下提供持续的可达性，到在拥有无线网络接入的学校提供更好的教育服务。由于需要面向数据和多媒体通信服务的新兴应用，未来的无线系统预计将提供更高的容量。这项研究涉及对无线通信系统可达到的性能极限的探索。无线带宽的稀缺决定了未来的系统除了时间和频率资源外还必须使用多个天线。本研究的前提是通过设计联合优化所有系统资源的发射器和接收器来显著提高无线系统的容量。研究人员考虑了干扰受限的多用户无线通信系统，其中用户以非分割的方式共享传输介质。开发的信号处理框架用于最一般的共享信道，其中使用多个发送和接收天线，码分多址共享时间和频率资源，并且每个用户发送多个数据流。重点是了解不同通道/系统约束下的性能限制以及实现这些限制的方法。所考虑的研究问题包括：当采用联合最优的时间-空间传输和时间-空间接收技术时能够支持的最大用户数的特征；最佳发射机(和接收机)的特征以及收敛到这些发射机(和相应的接收机)的算法的设计和分析；在不同的信道/系统条件下以及当关于这些条件的部分/不准确信息可用时，所述技术和结果的稳健性调查；在无线试验台上实现所得到的算法。

ABSTRACT0237727Aylin YenerPennsylvania State University- Univ. ParkThe importance of wireless access is ever increasing. The wide social impact of becoming tetherless ranges from providing constant reachability in emergency situations; to providing better educational services in schools with wireless network access. Future wireless systems are expected to provide much higher capacity due to emerging applications that demand data oriented and multimedia communications services. This research involves the exploration of attainable performance limits of wireless communication systems. The scarcity of wireless bandwidth dictates that future systems must utilize multiple antennas in addition to temporal and frequency resources. The premise of this research is that a significant improvement in wireless system capacity can be achieved by designing transmitters and receivers that jointly optimize all system resources.The investigator considers interference limited multiuser wireless communication systems where users ``share'' the transmission medium in a non-partitioned manner. The signal processing framework developed is for a most general shared channel where multiple transmit and receive antennas are used, code division grants sharing of time and frequency resources, and multiple data streams are transmitted per user. Thefocus is on understanding the performance limits under different channel/system constraints as well as methods that achieve these limits. The research issues considered include: characterization of the maximum number of users that can be supported when jointly optimum temporal-spatial transmission and temporal-spatial reception techniques are employed; characterization of the optimum transmitters(and receivers) and design and analysis of algorithms that converge to these transmitters (and the corresponding receivers); investigation of the robustness of the techniques and results under different channel/system conditions as well as when partial/inaccurate information is available about these conditions; implementation of the resulting algorithms on a wireless testbed.