Mechanism design for energy efficiency in wireless networks

Anil Kumar Chorppath, T. Alpcan
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引用次数: 4

Abstract

Network mechanism design aims to achieve system level goals such as efficiency or social welfare maximization through resource allocation mechanisms on networks, where individual users are selfish and independent decision-makers. This paper focuses on mechanisms for energy efficiency in uplink of multi-carrier wireless systems and rate control in wireless networks. The problem is modeled as strategic (nonco-operative) game with a resource pricing scheme, where the prices are imposed by a mechanism designer. The users decide on their actions according to both own preferences and given prices. The rules and incentives of the mechanism are designed in such a way that the system objective which is a combination of social welfare and energy efficiency is maximized. A weighting parameter in the objective function allows to smoothly vary the emphasis from social welfare to energy efficiency according to the preference of the designer. The users are assumed initially to be concerned only about their throughput. However, the designer modifies their incentives using pricing so that they become more energy-aware. A distributed optimization framework is developed accordingly in which users have general concave utilities (in terms of throughput) that are unknown to the designer and the energy-efficiency objective is expressed as a convex function of user power levels. An iterative pricing mechanism is obtained as a result, and illustrated through simulations.
无线网络能效机制设计
网络机制设计的目的是通过网络上的资源配置机制,实现效率最大化或社会福利最大化等系统层面的目标,在网络上,个体用户是自私的、独立的决策者。本文重点研究了多载波无线系统上行链路的能效机制和无线网络的速率控制。该问题被建模为具有资源定价方案的战略(非合作)博弈,其中价格由机制设计师施加。用户根据自己的偏好和给定的价格来决定他们的行为。该机制的规则和激励机制的设计是为了使社会福利和能源效率相结合的系统目标最大化。目标函数中的加权参数允许根据设计者的偏好平滑地改变从社会福利到能源效率的重点。假设用户最初只关心他们的吞吐量。然而,设计者通过定价修改了他们的激励机制,使他们更有能源意识。因此,开发了分布式优化框架,其中用户具有设计者不知道的一般凹效用(就吞吐量而言),能效目标表示为用户功率水平的凸函数。得到了一种迭代定价机制,并通过仿真进行了说明。
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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