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，至关重要的是，通过通信系统最小化功耗。这要求采用新的探索方法，其中包含编码，功率最小化和传输技术，该技术超出了当前方法。在合作通信的背景下，无线继电器网络为应对这一挑战提供了有利的平台。合作通信被视为无线网络实现物理层技术的少数启用之一。通过在合作通信中采用继电器进行联合权力和位置优化，潜在的好处大大提高了。该提案的目的是调查NP难以解决的混合企业非线性计划（MINLP），以制定和解决联合功率分配问题，继电器位置并扩展到编码。由于继电器和终端之间的距离较小，空间多样性以及有效的信号处理方案（例如分布式梁形成和分布式时空时间编码），获得了较低的能耗。在几个继电器架构下，使用组合问题发现了近乎最佳的解决方案。研究了以下情况：1）仅BS架构，2）每个MS下继电器，3）每个MS的多个继电器，4）分布式梁形成和5）分布式时空编码。该项目还开发了有关无线通信的跨学科教育材料和课程，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适用于其兴趣和能力水平的项目的组成部分。