Interference mitigation scheme for cognitive femtocell networks
Haobo Qing, Gang Xie, Jinchun Gao, Yuanan Liu
Abstract
Haobo Qing, Gang Xie, Jinchun Gao, Yuanan Liu
Abstract
The interference problem is a bottleneck of femtocell development as more and more femtocells are deployed. This paper considers interference from macro-cell as well as femtocells and puts forward a novel interference avoidance scheme. The proposed scheme employs cognitive radio technology which can sniff the resources usage to obtain the real-time environment information, and then allocates the frequency resources to femtocell network. In this way, interference mitigation is fulfilled. Simulations verify that the proposed scheme is able to achieve higher capacity and lower interference than the classical dedicated channel and cochannel deployment schemes.
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The interference problem is a bottleneck of femtocell development as more and more femtocells are deployed. This paper considers interference from macro-cell as well as femtocells and puts forward a novel interference avoidance scheme. The proposed scheme employs cognitive radio technology which can sniff the resources usage to obtain the real-time environment information, and then allocates the frequency resources to femtocell network. In this way, interference mitigation is fulfilled. Simulations verify that the proposed scheme is able to achieve higher capacity and lower interference than the classical dedicated channel and cochannel deployment schemes.
Key concepts: Femtocell, Interference (communication), Bottleneck, Computer science, Scheme (mathematics), Cognitive radio, Computer network, Software deployment