Cognitive Femtocell Networks

Tariq, Faisal and Dooley, Laurence S. (2012). Cognitive Femtocell Networks. In: Grace, David and Zhang, Honggang eds. Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. Chichester: John Wiley & Sons, Ltd, pp. 359–394.

DOI: https://doi.org/10.1002/9781118360316

URL: http://onlinelibrary.wiley.com/book/10.1002/978111...

Abstract

Cognitive Femtocell Networks (CFN) is a fertile application domain for cognitive radio and dynamic spectrum access technologies. Femtocell Access Points (FAP) are low-cost, plug and play devices which aim to extend radio coverage in indoor environments, where macrocell data services can suffer from poor signal strengths. Despite the promise of high data rates for indoor scenarios, FAP pose a number of significant research challenges due to uncoordinated user deployment which make any network planning impracticable. A key challenge is to manage the different types of interference and to dynamically allocate resources in the most efficient way. Depending on the mode of operation and access mechanism adopted, femto-macro interference and vice versa becomes a significant issue and must be efficiently managed to ensure successful operation. Moreover, femto-to-femto interference is an especially challenging problem in dense node deployments. This chapter introduces the basic concepts underpinning CFN technology and presents an inclusive discussion on current research challenges and solutions relating to both CFN and FAP.

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