Collaborative Techniques for Enhancing Spatial Diversity

增强空间多样性的协作技术

• 批准号: 219692-2012
• 负责人: Soleymani, MohammadReza
• 金额: $ 1.82万
• 依托单位: Concordia 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=570207
• 关键词: Collaborative; Techniques; Enhancing; Spatial; Diversity

Convergence of mobile communications and computing has resulted in a massive migration from legacy (2G) mobile phones to so called Smart Phones that support new broadband data and multimedia applications. These new applications require a large amount of power not always compatible with the size of the mobile devices since the increase in power consumption for new services has outpaced the advances in battery technology. Multiple Input Multiple Output (MIMO) is an efficient technique for increasing the network capacity through utilization of spatial diversity. It has been shown that in many networks, spatial diversity gains typical of MIMO can be achieved through cooperation, without the need for multiple antennas. Our team, under previous grants, has developed several collaborative communication strategies and code design guidelines for relay networks. We have also shown that in multiple access channels the use of non-orthogonal transmission together with interference cancellation aided by rateless codes such as Raptor codes can result in sum rates close to information theoretic bounds. Using rateless codes also results in schemes that adapt to the channel condition without prior knowledge of the channel state information. We intend to expand our research by considering more elaborate network scenarios including relay networks with multiple sources, relays and destinations. On the theoretical side, we will aim at finding information theoretic bounds on the achievable rates for various network configurations. On the practical side, we will develop coding schemes for particular network configurations under different channel realizations and to gauge the performance of the developed techniques against the theoretical bounds. The main tasks under this research project include: 1) Derivation of theoretical bounds on the achievable rate of several networks of interest including compound multiple access channels and relay channels. 2) Development of collaboration techniques utilizing network coding, nested codes and Raptor codes. 3) Assessment of adaptability of the developed schemes for wireless communication standards such as 3GPP's LTE-Advanced (Long Term Evolution-Advanced) and IEEE's 802.16 (WiMax).

移动的通信和计算的融合导致了从传统（2G）移动的电话到支持新的宽带数据和多媒体应用的所谓智能电话的大规模迁移。这些新的应用需要大量的功率，并不总是与移动的设备的尺寸兼容，因为新服务的功耗的增加已经超过了电池技术的进步。多输入多输出（MIMO）是一种通过利用空间分集来增加网络容量的有效技术。已经表明，在许多网络中，MIMO典型的空间分集增益可以通过协作来实现，而不需要多个天线。我们的团队，根据以前的赠款，已经开发了几个协作通信策略和代码设计准则的中继网络。我们还表明，在多址信道中，使用非正交传输与干扰消除辅助无速率码，如Raptor码可以导致接近信息理论界的总和速率。使用无比率码还导致在没有信道状态信息的先验知识的情况下适应信道条件的方案。我们打算通过考虑更复杂的网络场景来扩展我们的研究，包括具有多个源、中继和目的地的中继网络。在理论方面，我们的目标是找到各种网络配置的可实现速率的信息理论界。在实践方面，我们将开发特定的网络配置下不同的信道实现的编码方案，并衡量的理论界限的性能开发的技术。本研究课题的主要工作包括：1）推导了复合多址接入信道和中继信道等几种网络的可达速率的理论界。2)开发利用网络编码、嵌套编码和Raptor编码的协作技术。3)评估所开发的方案对无线通信标准的适应性，例如3GPP的LTE-高级（长期演进-高级）和IEEE的802.16（WiMax）。