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已经急剧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，导致移动的单元的能量渴求和电池容量之间严重不匹配。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用于健壮和安全的无线网络的节能技术。在无线网络中，用户在不同位置、时间和频率处的信道条件是不同的。如果能够利用这些差异，服务质量和网络效率可以得到显著提高。由于所有协议层都会影响能耗，研究人员将开发跨层节能技术，以减少冗余消息传输和相关的能耗。本研究将集中在能量有效的传输和资源分配策略，适用于无线OFDM和MIMO系统中的应用，并强调能量效率超过峰值速率。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新方法和技术，用于综合网络优化。 开发跨层网络介质访问协议和资源分配算法的关键能源考虑将被集成到新的框架中。

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.