Title :
A QoS-Based Hybrid Centralized/Distributed Resource Allocation Algorithm in Downlink Femtocell Networks
Author :
Kan Wang ; Yinghong Ma ; Hongyan Li ; Peng Liu ; Hongguang Sun ; Hao Zhang
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Abstract :
Femtocells have emerged as an effective solution to enhance indoor coverage and improve system performance in cellular networks. However, the inter-cell interference (ICI) caused by the unplanned nature of femtocells considerably leads to the degradation in throughput of users with guaranteed performance (GP). Meanwhile, the existing resource allocation algorithms bring about high complexity and large overhead. By tracking channel variation as well as arrival and departure of users, we propose a hybrid centralized/distributed resource allocation algorithm to maximize the number of GP users, with lower complexity and smaller overhead. Simulation results show that the proposed algorithm can significantly improve the system performance compared to the existing algorithms such as Q-FCRA.
Keywords :
adjacent channel interference; femtocellular radio; quality of service; GP user number maximization; ICI; Q-FCRA algorithm; QoS-based hybrid centralized-distributed resource allocation algorithm; cellular networks; channel variation tracking; downlink femtocell networks; guaranteed performance; indoor coverage; intercell interference; user throughput; Downlink; Femtocell networks; Interference; Long Term Evolution; Quality of service; Radiation detectors; Resource management;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692059