CIF:Small: Collaborative Research: Distributed PHY/MAC Optimization for Energy and Spectral Efficient Wireless Networks

对高速率多媒体无线通信的广泛需求极大地增加了无线网络的功耗。然而，电池技术的进步并没有跟上步伐，导致移动单元的耗电量与电池容量之间存在严重的不匹配。本研究的主要目标是通过跨层网络设计的分布式优化来开发健壮和安全的无线网络节能技术。在无线网络中，不同位置、不同时间、不同频率的用户的信道条件是不同的。如果能够利用这些差异，可以显著提高服务质量和网络效率。由于所有协议层都会影响能源消耗，调查人员将开发跨层节能技术来减少冗余的消息传输和相关的能源消耗。这项研究将集中在适用于无线OFDM和MIMO系统的节能传输和资源分配策略，并强调能量效率高于峰值速率。为了提高无线网络的能量效率，将研究基于新的性能标准的网络综合优化的新方法和新技术。开发跨层网络媒体访问协议和资源分配算法的主要能源考虑因素将整合到新框架中。

The widespread demand for high rate multimedia wireless communications has drastically increased the power consumption of wireless networks. However, the advances in battery technology have not kept pace, resulting in a severe mismatch between the energy thirst and battery capacity of mobile units. The major objective of this research is to develop energy-efficient techniques for robust and secure wireless networks through distributed optimization of cross-layer network design.This research performs a comprehensive investigation into energy-efficient wireless communications. In wireless networks, the channel conditions of users, at different locations, times, and frequencies are different. The quality of service and network efficiency can be significantly improved if these differences can be exploited. Since all protocol layers impact energy consumption, the investigators will develop cross-layer energy-efficient techniques to reduce redundant message transfers and the associated energy consumption. This research will focus on energy-efficient transmission and resource allocation strategies that are amenable to applications in wireless OFDM and MIMO systems, and emphasize energy efficiency over peak rates. To enhance energy efficiency for wireless networks, novel approaches and techniques based on new performance criteria for integrative network optimization will be investigated. Key energy considerations for developing cross-layer network media access protocols and resource allocation algorithms will be integrated into the new framework.