Practical Coding and Decoding Schemes for the Interference Channel

干扰信道的实用编解码方案

基本信息

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

项目摘要

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.

通过利用传统信息和新型信息理论和编码工具的组合，申请人将调查在传输多个无线信号时减少“噪声”量的方法。这项工作将对无线通信标准的未来和实用无线通信基础架构产生重大影响。申请人打算调查发射机的实用设计和干扰网络中接收器的实用解码算法。在发射器方面，我们将研究晶格理论中的结构化代码与代数代码的结构化代码最初由申请人设计的数字理论工具，用于设计多样性交易的最佳时空编码方案。设计标准将考虑实用的现实情况，例如缺乏通道可变性，缺乏常见的时间参考，有限信号与噪声比，有限的精度量化以及频道状态信息可用性的限制（或缺乏）。我们将考虑设计晶格束形成方案，通过发送适当的信号版本以及对不同资源的干扰，可以在可实现的吞吐量和性能水平之间进行权衡。然后，我们将考虑将晶状体束形成用于干扰对准的组合和专门设计的代数时空代码，以增加预期接收器的多样性，而无需增加信号的干扰水平。我们将把注意力集中在允许在每个预期接收器上分解度量的高率代码上。最后，我们将考虑降低的复杂性的设计，有条件优化的解码器，这些解码器利用信号与噪声比的有限值时提出的干扰对准方案。将研究特别适合提出的条件解码器的编码方案。