NeTS - NR: Protocols and Algorithms for Cooperative Wireless Networks

NETS-NR：协作无线网络的协议和算法德克萨斯大学达拉斯分校的Aria Nosratinia获奖0435429摘要与有线网络不同，由于无线电频谱中的电磁传播特性，无线电网络中的信息传输本质上是广播的。因此，每次数据传输都会影响多个节点，即使它们不是预期的目的地。物理层、数据链路层、MAC层和网络层都感受到了这种干扰的影响。合作通信通过将干扰视为额外的信息来源，努力将这一负债转化为资产。由于无线电的广播性质，通过一条无线链路传输的信息对于预定目的地之外的其他节点(部分地和随机地)可用。这些分布在整个网络中的附加信息可以以一种有利可图的方式被利用。换句话说，协作通信利用链路信噪比的统计变化，以及无线电固有的广播特性来产生更有效的通信系统。本研究(1)分析了物理层协作对高层的影响，(2)提出了在数据链路层、MAC层和网络层实现协作效益的方法和算法。这项研究的影响包括更低的节点功耗和更长的电池寿命，更低的辐射功率导致更小的能量节点占用空间，更高的网络吞吐量，以及更灵活的网络资源分配。

NeTS - NR: Protocols and Algorithms for Cooperative Wireless NetworksAria Nosratinia, University of Texas at DallasAward 0435429AbstractUnlike wired networks, the information transfer in radio networks is inherently of a broadcast nature, due to the properties of electromagnetic propagation in the radio spectrum. Therefore, each data transmission impinges upon multiple nodes, even if they are not the intended destination. The effects of this interference are felt at the physical layer as well as data link, MAC, and network layers. Cooperative communication strives to turn this liability into an asset by treating interference as an additional source of information. The information transmitted across one wireless link, due to the broadcast nature of radio, is (partially and randomly) available to other nodes beside the intended destination. This additional information, distributed throughout the network, may be exploited in a gainful manner. In other words, cooperative communication exploits the statistical variation of the link signal-to-noise ratios, together with the inherent broadcast nature of radio, to yield a more efficient communication system. This research (1) analyzes the impact of physical layer cooperation on the higher layers and (2) develops methods and algorithms to realize the benefit of cooperation in the data link layer, MAC layer, and the network layer. The impact of this research includes lower node power consumption and thus longer battery life, lower radiated power leading to smaller energy node footprint, higher network throughput, and more flexible allocation of network resources.