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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中继网络模型在未来移动通信的研究和应用中得到了广泛的应用。这为研究一般MIMO中继网络的基本限制提供了动力。此外，自由度是网络的一个重要指标，在高信噪比的情况下，自由度随网络和速率线性扩展。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信噪比工作点的非再生MIMO中继网络的可实现和速率和可实现的dof。首先，我们建立了两类模型：带功率约束的和速率最大化模型和带功率约束的和传输功率最小化模型。系统优化的主要难点是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，并对其结果进行比较。非线性优化技术用于解决由此产生的非凸非线性矩阵优化问题。分析了这些算法的计算复杂度和信令开销。基于模型和相应的算法，我们将得到系统的可达速率区域和功率区域。为了达到较高的和速率，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和具有流选择标准的启发式贪婪方法。本课题的工作不仅对理论结果有一定的增强作用，而且对非再生MIMO中继网络的应用具有一定的指导意义。