Signal Prosessing Techniques for 5G Wireless and mm-Wave Communications

在过去的十年中，无线网络技术的非凡进步彻底改变了我们使用个人通信的方式。由于这些好处，用户对吞吐量的需求继续以每年50%的惊人速度增长。预计目前的第四代（4G）无线系统将无法满足未来服务的需求，标准化机构已经为第五代（5G）制定了令人印象深刻的目标规范，在数据速率、连接、能源效率和服务质量（QoS）方面进行了多次增强。在频谱拥挤的环境中达到如此高端的性能需要引入新的物理层技术以及复杂的信号处理算法。

Extraordinary advances in wireless network technology during the past decade have revolutionized the way in which we use personal communications. As a result of such benefits, the user demand for throughput continues to grow at a stunning rate of 50% annually. Anticipating that current 4th generation (4G) of wireless systems will not meet the demand for future services, standardization bodies have set forth impressive target specifications for the 5th generation (5G), with multi-fold enhancements in data rate, connectivity, energy efficiency, and quality of service (QoS). Reaching such high-end performance in a spectrum congested environment calls for the introduction of new physical layer technologies along with sophisticated signal processing algorithms. The long-term goal of the proposed research is to develop and investigate new signal processing concepts, theories and algorithms, to meet the demands of emerging 5G mobile networks and beyond. Key innovative aspects include a focus on location-aware information processing, which provides the unifying theme for the proposed work, along with an emphasis on the use of multi-antenna systems operated in higher frequency bands, i.e. shift towards mm-waves. Within this exacting framework, the short-term objectives of the program are articulated around three complementary topics, namely: (1) modulation formats and waveform design; (2) space-time processing for large-scale antenna arrays; and (3) device localization in ultra-dense networks. Under the first topic, we will study new adaptive multi-carrier modulation (MCM) techniques that take advantage of location-based information to optimize spectrum efficiency over time, across the network. These new schemes will then be extended for application to massive multiple-input multiple-output (MIMO) transceiver configurations. Under the second topic, we will develop improved algorithms for the estimation of location-based parameters, including: direction of arrival (DoA) and time of arrival (ToA). We will also investigate new low-complexity 3D beamforming algorithms, with a focus on beamspace methods. Under the third topic, we will research novel on-line algorithms for the localization and tracking of mobile devices using both line-of-sight (LoS) and non-LOS (NLoS) measurements. Finally, these algorithms will be generalized to distributed forms of processing, for practical application in dense heterogeneous networks. This program of research will provide numerous opportunities for HQP training at the M.Eng. and Ph.D. levels, while the main findings will be presented at international conferences and published in highly selective journals.