Innovative Signal Processing Techniques and Algorithms for Cooperative Wireless Communications

用于协作无线通信的创新信号处理技术和算法

• 批准号: 105533-2012
• 负责人: Champagne, Benoit
• 金额: $ 2.4万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569075
• 关键词: Innovative; Signal; Processing; Techniques; Algorithms

IMT-Advanced has set forth an impressive array of performance targets for the 4G of wireless cellular systems. Major improvements in capacity, quality-of-service (QoS) and deployment flexibility are sought, including much higher peak data rates and the ability to provide these over larger portions of the cell area. To attain, and eventually surpass these exacting requirements, significant improvements in interference rejection and bandwidth extension will be needed as compared to current 3G systems. To this end, 4G and beyond will favor the use of innovative radio technologies, including: spectrum aggregation, cooperative message relaying and coordinated multipoint (CoMP) transmissions. Within this framework, the long-term objective of the proposed research program is to develop and investigate new cooperative signal processing techniques and algorithms, needed to successfully access additional spectrum and combat radio interference in future generations of wireless networks. With a focus on distributed space-time processing, the short-term goals of the research are articulated around three complementary topics: (1) wideband spectrum sensing; (2) non-regenerative relaying; and (3) distributed CoMP beamforming. We will investigate new cooperative detector structures and spectrum sensing techniques that are robust to uncertainties in channel state information and noise background statistics, allowing multiple terminals to collaborate in the reliable detection of spectrum holes. Our work on non-regenerative relaying will focus on optimal cooperative design of multiple (i.e. parallel) relay transformations and transceiver architectures, and adaptive extensions thereof to allow practical message relaying to/from mobile terminals. Our proposed work on CoMP transmissions aims to investigate new decentralized blind adaptive beamforming strategies for synchronized downlink transmission from multiple base stations to mobile users located near the cell boundaries. This cutting-edge program of research will provide numerous opportunities for HQP training; the main findings will be presented at international conferences and published in highly selective journals.

IMT-Advanced为4G无线蜂窝系统制定了一系列令人印象深刻的性能目标。寻求在容量、服务质量(Qos)和部署灵活性方面的重大改进，包括更高的峰值数据速率以及在小区区域的更大部分上提供这些的能力。为了达到并最终超过这些严格的要求，与当前的3G系统相比，需要在干扰抑制和带宽扩展方面进行重大改进。为此，4G及以后的技术将有利于使用创新的无线电技术，包括：频谱聚合、协作消息中继和协调多点(CoMP)传输。在这一框架内，拟议研究计划的长期目标是开发和研究新的合作信号处理技术和算法，这是在未来几代无线网络中成功接入额外频谱和对抗无线电干扰所需的。以分布式空时处理为重点，研究的短期目标围绕三个互补的主题进行阐述：(1)宽带频谱感知；(2)非再生中继；(3)分布式CoMP波束形成。我们将研究新的协作检测器结构和频谱感知技术，这些结构和频谱感知技术对信道状态信息和噪声背景统计中的不确定性具有鲁棒性，允许多个终端协作可靠地检测频谱空洞。我们在非再生中继方面的工作将集中于多个(即并行的)中继变换和收发信机体系结构的最优协作设计，以及其自适应扩展，以允许实际的消息转发到/来自移动终端。我们提出的CoMP传输方面的工作旨在研究新的分布式盲自适应波束形成策略，用于从多个基站到位于小区边界附近的移动用户的同步下行链路传输。这一前沿研究计划将为HQP培训提供大量机会；主要发现将在国际会议上公布，并在高度精选的期刊上发表。