Title :
A channel assignment and power setting scheme by fuzzy logics for OFDMA-based macro-femto systems
Author :
Chung, Wen-Ching ; Chang, Chung-Ju ; Liao, Yi-Chung
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In this paper, we propose a fuzzy-based channel assignment and power setting (FCAP) scheme for OFDMA-based macro-femto systems to effectively mitigate the interference caused by the deployment of femto base stations (FBSs). The FCAP scheme is a distributed solution for the spectrum allocation and interference mitigation problems in the macro-femto systems. By using the fuzzy logics, it dynamically determines the total number of available subchannels for the considering FBS. According to this determination, the FBS selects its preference subchannels to avoid using the same subchannels as its neighboring FBSs. Also, the FCAP scheme sets the transmission power by using the fuzzy logics to achieve a balance between the throughput maximization and the interference mitigation. Simulation results show that, the FCAP scheme can enhance the average SINR of femto users by 8.5 % and 29.4 % compared to the optimal downlink spectrum sharing scheme and the flexible spectrum usage and power control scheme, respectively.
Keywords :
OFDM modulation; channel allocation; femtocellular radio; frequency division multiple access; fuzzy logic; interference suppression; optimisation; power control; radiofrequency interference; wireless channels; FCAP scheme; OFDMA-based macrofemto system; SINR; channel assignment; femtobase station deployment; flexible spectrum usage; fuzzy logic; fuzzy-based channel assignment and power setting scheme; interference mitigation; optimal downlink spectrum sharing scheme; power control scheme; power setting scheme; spectrum allocation; subchannel preference; throughput maximization; Femtocells; Fuzzy logic; Interference; Macrocell networks; OFDM; Signal to noise ratio; Throughput;
Conference_Titel :
Communications in China (ICCC), 2012 1st IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2814-2
Electronic_ISBN :
978-1-4673-2813-5
DOI :
10.1109/ICCChina.2012.6356975