DocumentCode
591096
Title
Energy efficient power optimization in two-tier femtocell networks with interference pricing
Author
Deli Liu ; Wei Zheng ; Haijun Zhang ; Wenmin Ma ; Xiangming Wen
Author_Institution
Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
27-29 Aug. 2012
Firstpage
247
Lastpage
252
Abstract
With the mass deployment of femtocells, serious cross-tier interference may be caused to the macrocells, together with large amounts of energy consumption. In this paper, the power control problem for the co-channel deployed femtocells is investigated. We first model the uplink power control problem as a non-cooperative game, where co-channel interference is taken into account in maximizing the energy-aware utility. By introducing a convex pricing function of the cross-tier interference, Pareto improvement can be obtained. Furthermore, based on the non-cooperative game, we devise a distributed power allocation algorithm together with an optimal price seeking algorithm. Simulation results show that the proposed algorithm can improve user utilities significantly, compared with existing power control algorithms.
Keywords
cochannel interference; energy conservation; femtocellular radio; game theory; power control; Pareto improvement; co-channel deployed femtocells; cochannel interference; convex pricing function; cross-tier interference; distributed power allocation algorithm; energy consumption; energy efficient power optimization; energy-aware utility; interference pricing; macrocells; noncooperative game; optimal price seeking algorithm; two-tier femtocell networks; uplink power control problem; Pricing; Uplink; Pareto improvement; femtocell; non-cooperative game; power control; pricing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Networking Technology (ICCNT), 2012 8th International Conference on
Conference_Location
Gueongju
Print_ISBN
978-1-4673-1326-1
Type
conf
Filename
6418661
Link To Document