EAGER: Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks

EAGER：无线中继网络中具有空间分集的最佳功率分配和中继选择

• 批准号: 1249364
• 负责人: Kazem Sohraby
• 金额: $ 12万
• 依托单位: South Dakota School of Mines and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1249364&HistoricalAwards=false
• 关键词: EAGER; Optimal; Power; Allocation; Relay

In wireless networks it is critical that power consumption by the communication system is minimized. This calls for new exploratory approaches which incorporate coding, power minimization, and transmission techniques integrated in a system design beyond the current methods. Wireless relay networks in the context of cooperative communications provide favorable platform to address this challenge. Cooperative communications is regarded as one of the few enabling physical layer technologies for wireless networking. By employing relays for joint power and location optimization in cooperative communications, the potential benefits are substantially enhanced. The goal of this proposal is to investigate a mixed-integer nonlinear program (MINLP) which is NP hard, in the formulation and solution of the problem of joint power allocation, relay location, and extended to coding. Lower energy consumption is achieved due to smaller distances between relays and the terminals, spatial diversity, and efficient signal processing schemes such as distributed beam-forming and distributed space time coding. The near optimal solution is found using the combinatorial problem under several relaying architectures. The following cases are investigated: 1) BS-only architecture, 2) single relay per MS, 3) multiple relays per MS, 4) distributed beam-forming, and 5) distributed space-time coding. This project also develops interdisciplinary educational material and courses on wireless communications with the goal of bridging the gap between networking and wireless communications curricula via new interdisciplinary courses. Undergraduate and graduate students will be involved with components of the project that are applicable to their level of interest and ability.

在无线网络中，使通信系统的功耗最小化是至关重要的。这就需要新的探索性方法，其中包括编码，功率最小化，并在系统设计中集成的传输技术超出了目前的方法。协作通信背景下的无线中继网络为解决这一问题提供了有利的平台。协作通信被认为是用于无线联网的少数使能物理层技术之一。通过在协作通信中采用中继进行联合功率和位置优化，可以大大提高潜在的效益。本建议的目标是调查一个混合整数非线性规划（MINLP），这是NP难的，在制定和解决问题的联合功率分配，中继位置，并扩展到编码。由于中继站和终端之间的距离较小，空间分集和有效的信号处理方案，如分布式波束成形和分布式空时编码，实现了较低的能耗。在几种中继结构下，利用组合问题找到了近似最优解。研究了以下情况：1）仅BS架构，2）每个MS单个中继，3）每个MS多个中继，4）分布式波束成形，以及5）分布式空时编码。该项目还开发了关于无线通信的跨学科教材和课程，目的是通过新的跨学科课程弥合网络和无线通信课程之间的差距。本科生和研究生将参与项目的组成部分，适用于他们的兴趣和能力水平。