Design of energy-efficient wireless communication networks

Lin Fang, R. de Figueiredo
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引用次数: 2

Abstract

This paper reviews our recent research on the optimal power control at the physical layer, and scheduling at the medium access control (MAC) layer under energy-constraints. In our approach, first, by use of Nash game theory, the physical and link layer designs are jointly minimized to provide an optimal power control solution for multi-carrier (MC) direct sequence (DS) CDMA to maximize the utility function defined as the number of data bits transmitted correctly per unit of energy. That is, the network throughput is maximized at the cost of the minimal energy consumed. Second, the pair-wise optimization of the hardware and MAC layer designs is considered to present an optimal scheduling protocol to minimize the energy utilization for data fusion in wireless sensor network, which includes both the transmission energy and the circuit energy consumption. The integration via cross-layer protocol optimizes the communication system's use of energy while making the system more readily adaptive to changes in the environment and user tendencies. This is very crucial for the emerging IT technologies, since it is well known that the energy resource is getting more and more expensive nowadays.
节能无线通信网络的设计
本文综述了物理层最优功率控制和能量约束下介质访问控制(MAC)层调度的研究进展。在我们的方法中,首先,通过使用纳什博弈论,物理层和链路层设计共同最小化,为多载波(MC)直接序列(DS) CDMA提供最优功率控制解决方案,以最大化效用函数,效用函数定义为每单位能量正确传输的数据比特数。也就是说,以最小的能量消耗为代价,实现网络吞吐量的最大化。其次,考虑硬件和MAC层设计的成对优化,提出一种最优调度协议,以最小化无线传感器网络中数据融合的能量消耗,包括传输能量和电路能量消耗。通过跨层协议的集成优化了通信系统的能源使用,同时使系统更容易适应环境和用户趋势的变化。这对于新兴的IT技术来说是至关重要的,因为众所周知,现在的能源越来越昂贵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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