Efficient transmission and reception methods for future wireless communications systems

无线个人通信已经成为一项对我们的社会产生巨大影响的关键技术。由于市场对高度移动、广泛可及的多媒体通信的强烈兴趣，无线蜂窝网络和局域网目前正经历着显著的增长。为应付不断增加的消费者需要和要求，目前的无线通信研究力求：(i)增加容量（即在某一地理区域增加流动客户的数目）；减少复杂性（硬件和软件）；（iii）通过接收机和/或发射机的智能处理提高性能。以消费者为基础的移动和便携通信系统的短期和长期增长与上述四个目标的实现密切相关。本研究的重点是研究实现上述目标的新算法。特别强调了在实际无线通信环境中表现出改进性能的算法的发展。更具体地说，本研究侧重于设计和分析低复杂度接收和高精度参数估计算法，特别是针对现实的非平稳无线环境，由于用户群体和环境物理特性的快速变化，可用于接收器适应和参数估计的数据记录的大小是有限的。

Wireless personal communication has emerged as a key technology that dramatically impacts our society. Wireless cellular and local area networks are currently experiencing significant growth driven by a strong market interest for highly mobile, widely accessible, multimedia communications. To address the ever-increasing consumer needs and demands, current research on wireless communications strives to: (i) Increase Capacity (i.e., increase number of mobile clients in a given geographical area); (ii) Reduce complexity (both hardware and software); (iii) Improve performance through intelligent processing at the receiver and/or transmitter. The short and long-term growth of consumer-based mobile and portable communication systems is tied closely to the achievement of the above four objectives.This research focuses on the investigation of new algorithms that achieve the previously mentioned goals. Special emphasis  is given in the development of algorithms that exhibit improved performance in realistic wireless communications environments. More specifically, this research focuses on the design and analysis of low-complexity reception and highly accurate parameter estimation algorithms, specifically for realistic non-stationary wireless environments where, due to rapid changes in the user population and the physical characteristics of the environment, the size of the data record available for receiver adaptation and parameter estimation is limited.