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.

通过利用传统和新的信息理论和编码工具的组合，申请人将研究减少在传输多个无线信号时接收的“噪声”量的方法。这项工作将对无线通信标准的未来和实用的无线通信基础设施产生重大影响。 申请人打算研究用于干扰网络内的发射机的实际设计和用于接收机的实际解码算法。在发送端，我们将使用最初由申请人共同开发的用于设计分集-多路复用折衷最优空时编码方案的数论工具，结合使用数论工具来研究格论中的结构码与代数码的组合。设计准则将考虑实际情况，例如缺乏信道可变性、缺乏公共定时参考、有限的信噪比、有限的精度量化以及信道状态信息的可获得性的限制(或缺乏)。我们将考虑设计晶格波束成形方案，通过在不同资源上发送适当版本的信号加上干扰，允许在可实现的吞吐量和性能水平之间进行折衷。然后，我们将考虑用于干扰对齐的格子波束成形和专门设计的代数空时码的组合，以在不增加信号不想要的干扰电平的情况下增加预期接收器的分集。我们将把注意力集中在允许每个预期接收器处的解码度量可分离的高速率码上。最后，我们将考虑在有限的信噪比下利用所提出的干扰对齐方案来设计复杂度更低、条件优化的解码器。将研究特别适用于所提出的条件解码器的编码方案。