Optimized Non-Regenerative MIMO Relaying (ONEMORE)

优化的非再生 MIMO 中继 (ONEMORE)

基本信息

批准号：
264858293
负责人：
Professor Dr.-Ing. Eduard Axel Jorswieck
金额：
--
依托单位：
Institut für Nachrichtentechnik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2014-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/264858293?language=en
关键词：
Optimized Non Regenerative MIMO Relaying

项目摘要

MIMO relay network models have been widely used in researches and applications for future mobile communications. This gives an impetus to the investigations of the fundamental limits of the general MIMO relay networks. Also, degree of freedom (DoF) is an important index of a network, which scales linearly with the sum rate in high signal-to-noise-ratio (SNR) scenarios. In our project, we plan to optimize the achievable sum rate and the achievable DoFs of non-regenerative MIMO relay networks for finite SNR operating points, through both theoretical analysis and efficient algorithms.First, we build up two types of models: sum rate maximization models with power constraints and sum transmit power minimization models with rate constraints. The main difficulty to optimize the system is that the sum rate expression is complicated and highly nonlinear. In the project, the sum rate will be approximated by several approaches, and their results compared. Nonlinear optimization techniques are applied to solve the resulting nonconvex nonlinear matrix optimization problems. The computational complexity and their signalling overhead of the algorithms will be analyzed. Based on the models and the corresponding algorithms, we will obtain the system achievable rate region and the power region. To achieve high sum rate, we plan to design two types of data stream selection algorithms: the optimization technique approach with a series of nonlinear optimization subproblems and the heuristic greedy approach with stream selection criteria. The works of our project will not only enhance the theoretical results, but also provide guidelines to applications of non-regenerative MIMO relay networks.

MIMO继电器网络模型已被广泛用于未来移动通信的研究和应用中。这推动了对一般MIMO继电器网络的基本限制的研究。同样，自由度（DOF）是网络的重要索引，该索引与高信噪比（SNR）场景中的总和率线性缩放。在我们的项目中，我们计划通过理论分析和有效的算法来优化有限SNR操作点的非再生MIMO继电器网络的可实现的总和DOF。优化系统的主要困难是，总和速率表达式复杂且高度非线性。在项目中，总和率将通过几种方法近似，并将其结果进行比较。非线性优化技术用于求解所得的非convex非线性矩阵优化问题。将分析算法的计算复杂性及其信号传导开销。根据模型和相应的算法，我们将获得系统可实现的速率区域和功率区域。为了达到高总速率，我们计划设计两种类型的数据流选择算法：具有一系列非线性优化子问题的优化技术方法以及具有流选择标准的启发式贪婪方法。我们项目的作品不仅会增强理论结果，而且还为非再生MIMO继电器网络的应用提供指南。