Title :
Energy Efficient Power and Subchannel Allocation in Dense OFDMA Small Cell Networks
Author :
Meng Wang ; Hui Tian ; Gaofeng Nie
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
This paper studies energy efficient power and subchannel allocation in dense small cell networks. After giving the subchannel allocation algorithm, we transform the fractional energy efficient problem into an equivalent iterative optimization problem which has a subtractive form. With the developed utility function of the equivalent problem, we introduce a non-cooperative game to optimize power allocation. The existence and uniqueness of the Nash equilibrium of the game is proved. Besides, the proposed distributed power update needs minor signalling to get the optimal solution. System-level simulation results show that the proposed scheme can quickly reach the convergence and efficiently improve the energy efficiency in small cell networks.
Keywords :
OFDM modulation; cellular radio; channel allocation; frequency division multiple access; game theory; iterative methods; optimisation; Nash equilibrium; dense OFDMA small cell networks; distributed power update; energy efficient power allocation; equivalent iterative optimization problem; fractional energy efficient problem; noncooperative game; subchannel allocation algorithm; utility function; Convergence; Downlink; Games; Interference; Manganese; Nash equilibrium; Resource management;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location :
Vancouver, BC
DOI :
10.1109/VTCFall.2014.6965957