DocumentCode :
2338338
Title :
An Effective Inter-Cell Interference Coordination Scheme for Heterogeneous Network
Author :
Li, Bo
Author_Institution :
Sch. of Phys. & Electrics Inf., Ningxia Univ., Yinchuan, China
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
1
Lastpage :
5
Abstract :
It is an urgent task to overcome challenge in interference management for macro cellular with low-power base stations (BSs), such as relay, pico, and femto called subnet nodes. In this paper, we develop a proper inter-cell interference coordination (ICIC) scheme for downlink co-channel interference through cognitive sensing performed by subnet nodes in heterogeneous network (Het-Net). The more co-channel interference is avoided by cognitive interference model, the more power is saved for the macro BS and subnet nodes. The strategy framework of the cognitive critical ratio and power reward factor is set up for interference management aiming to get the maximum net saving power for the macro BS and subnet nodes. We use multiple objective non-linear programming (MONLP) and genetic algorithm (GA) to obtain the global optimum solution. Finally, the practical implementation in Het-Net for long term evolution advanced (LTE-A) is designed. The numerical evaluation and system simulation results demonstrate the applicability and effectiveness of the proposed ICIC scheme.
Keywords :
Long Term Evolution; cellular radio; cochannel interference; cognitive radio; genetic algorithms; interference suppression; nonlinear programming; GA; Het-Net; ICIC scheme; LTE-A; Long Term Evolution advanced; MONLP; cognitive critical ratio; cognitive interference model; cognitive sensing; downlink cochannel interference avoidance; genetic algorithm; heterogeneous network; intercell interference coordination scheme; interference management; low-power base stations; macrocellular network; multiple objective nonlinear programming; numerical system simulation; power reward factor; subnet nodes; Downlink; Interchannel interference; Relays; Sensors; Throughput; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4244-8332-7
Type :
conf
DOI :
10.1109/VETECS.2011.5956782
Filename :
5956782
Link To Document :
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