Practical Coding and Decoding Schemes for the Interference Channel

干扰信道的实用编解码方案

• 批准号: 288190-2012
• 负责人: Damen, MohamedOussama
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 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=571361
• 关键词: Practical; Coding; Decoding; Schemes; Interference

By utilizing a combination of traditional and novel information theoretic and coding tools, the applicant will investigate methods by which to reduce the amount of "noise" received when transmitting multiple wireless signals. This work will have significant impacts on the future of wireless communication standards and for practical wireless communication infrastructure. The applicant intends to investigate practical designs for transmitters and practical decoding algorithms for receivers within an interference network. On the transmitter side, we will investigate the use of structured codes from lattice theory in combination with algebraic codes using number theoretic tools originally codeveloped by the applicant for the design of diversity-multiplexing tradeoff optimal space-time coding schemes. The design criteria will take into account practical real-world situations such as the lack of channel variability, the lack of common timing reference, the finite signal to noise ratio, the finite precision quantization, and the limitation (or lack) of channel state information availability. We will consider designing lattice beamforming schemes that allow a tradeoff between achievable throughput and performance levels by sending appropriate versions of the signal plus interference over different resources. Then, we will consider the combination of lattice beamforming for interference alignment and algebraic space-time codes specifically designed to increase the diversity at the intended receiver without increasing interference levels where the signal is not intended. We will focus our attention on high rate codes that allow separability of the decoding metric at each intended receiver. Finally, we will consider the design of reduced complexity, conditionally optimized decoders that take advantage of the proposed interference alignment schemes at finite values of signal to noise ratio. Coding schemes particularly adapted for the proposed conditional decoder will be investigated.

通过利用传统的和新颖的信息理论和编码工具的组合，申请人将研究减少在发送多个无线信号时接收的“噪声”量的方法。 这项工作将对未来的无线通信标准和实际的无线通信基础设施产生重大影响。 申请人打算研究干扰网络内的发射机的实际设计和接收机的实际解码算法。在发射机方面，我们将使用最初由申请人共同开发的数论工具，研究格理论中的结构化码与代数码的结合使用，用于设计分集复用权衡最佳空时编码方案。设计标准将考虑实际的现实世界的情况，如缺乏信道可变性，缺乏共同的定时参考，有限的信噪比，有限的精度量化，和信道状态信息可用性的限制（或缺乏）。我们将考虑设计格型波束成形方案，通过在不同资源上发送适当版本的信号加干扰，在可实现的吞吐量和性能水平之间进行权衡。然后，我们将考虑用于干扰对齐的格型波束成形和专门设计用于增加预期接收器处的分集而不增加信号不预期的干扰水平的代数空时码的组合。我们将把我们的注意力集中在高速率的代码，允许在每个预期的接收机的解码度量的可分性。最后，我们将考虑降低复杂性的设计，有条件优化的解码器，利用所提出的干扰对齐计划在有限的信噪比值。编码方案，特别是适应于建议的条件解码器将进行调查。