Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Pricing in Noncooperative Interference Channels for Improved Energy Efficiency | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 704614 12 pages doi 2010 704614 Research Article Pricing in Noncooperative Interference Channels for Improved Energy Efficiency Zhijiat Chong Rami Mochaourab and Eduard Jorswieck Communications Laboratory Faculty of Electrical Engineering and Information Technology Dresden University of Technology D-01062 Dresden Germany Correspondence should be addressed to Zhijiat Chong chong@ Received 30 October 2009 Revised 12 April 2010 Accepted 14 June 2010 Academic Editor Jinhua Jiang Copyright 2010 Zhijiat Chong et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. We consider noncooperative energy-efficient resource allocation in the interference channel. Energy efficiency is achieved when each system pays a price proportional to its allocated transmit power. In noncooperative game-theoretic notation the power allocation chosen by the systems corresponds to the Nash equilibrium. We study the existence and characterize the uniqueness of this equilibrium. Afterwards pricing to achieve energy-efficiency is examined. We introduce an arbitrator who determines the prices that satisfy minimum QoS requirements and minimize total power consumption. This energy-efficient assignment problem is formulated and solved. We compare our setting to that without pricing with regard to energy-efficiency by simulation. It is observed that pricing in this distributed setting achieves higher energy-efficiency in different interference regimes. 1. Introduction Power management and energy-efficient communication is an important topic in future mobile communications and computing systems. Currently of the carbon emissions are contributed by the mobile telecommunications industry 1 . In order to
