Spatial Graph Coupling for Wireless Communications

提出了一种新的多端信道信息传输方法。在该方法中，以多个独立数据流的形式传输信息，该多个独立数据流在无线信道中耦合成可以使用低复杂度迭代接收器解码的结构，从而允许简单的实现。我们的最新结果证明，即使在等速率和等功率传输的情况下，所提出的技术也达到了高斯多址信道的容量，为信号的联合译码提供了一种几乎通用的方法。该项目的目的是利用新的调制格式来建立用于在多终端信道上通信的实用算法，其中一组终端利用协调和协作来与另一组终端通信以发送和接收信号。终端协作提供了大幅增加网络吞吐量的可能性，而不完全依赖于昂贵的带宽和功率资源。研究计划的技术细节包括通过对数据流的资源分配进行干扰管理预编码和部分解码，其中所有信号都被解调，但只有一些信号被解码。终端协作将通过非正交中继来解决，在非正交中继中，中继器和信源可以同时传输信息，而目的地采用联合解码信号。将讨论在符号间干扰信道和多天线通信上的传输，包括基于相关接收数据的符号估计进入解调过程。吞吐量最大化将利用最近发展的空间图耦合理论，该理论提供了一种工具来构建图结构，在该图结构上低复杂度的迭代处理实现了最佳性能。所设计的算法可以在蜂窝系统中提供协作多点(CoMP)通信的实际实现，提高服务质量，并为加拿大和世界各地的电信业节省数十亿美元的传输频段成本。

A novel approach to information transmission over multi-terminal channels is proposed. In this approach, the information is transmitted in the form of multiple independent data streams that couple in the wireless channel into structures that can be decoded using a low-complexity iterative receiver allowing for a simple implementation. Our recent results prove that the proposed technique achieves the capacity of the Gaussian multiple-access channel even for the case of equal rate and power transmissions providing a nearly universal way for joint decoding of signals. The objective of the project is to utilize the novel modulation format to establish practical algorithms for communication over multi-terminal channels in which a group of terminals communicates to another group of terminals utilizing coordination and cooperation for transmission and reception of signals. Terminal cooperation provides a possibility to substantially increase network throughput without relying exclusively on the costly bandwidth and power resources. Technical details of the research plan include interference managing precoding via resource allocation for the data streams and partial decoding in which all signals are demodulated but only some are decoded. Terminal cooperation will be addressed via non-orthogonal relaying in which the relay and the source can transmit information simultaneously while the destination employs joint decoding of signals. Transmission over inter-symbol interference channel and multiple antenna communication will be addressed including symbol estimation based on correlated received data into the demodulation process. Throughput maximization will utilize the recently developed theory of spatial graph coupling that provides an instrument to construct graph structures on which low-complexity iterative processing achieves optimal performance. The designed algorithms can provide a practical realization of cooperative multi-point (CoMP)communications in cellular systems improving quality of service and saving billions of dollars in costs of transmission frequency bands for the telecommunications industry in Canada and worldwide.