Efficient spectrum utilization via cross-layer optimization in distributed cognitive radio networks

Authors:
Si Chen;Alexander M. Wyglinski
Affiliations:
Wireless Innovation Laboratory, Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609-2280, USA;Wireless Innovation Laboratory, Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609-2280, USA
Venue:
Computer Communications
Year:
2009

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Abstract

In this paper, we propose a novel spectrum allocation approach for distributed cognitive radio networks. Cognitive radio systems are capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance system and network performance. Using this technology, our proposed approach optimizes each individual wireless device and its single-hop communication links using the partial operating parameter and environmental information from adjacent devices within the wireless network. Assuming stationary wireless nodes, all wireless communication links employ non-contiguous orthogonal frequency division multiplexing (NC-OFDM) in order to enable dynamic spectrum access (DSA). The proposed approach will attempt to simultaneously minimize the bit error rate, minimize out-of-band (OOB) interference, and maximize overall throughput using a multi-objective fitness function. Without loss in generality, genetic algorithms are employed to perform the actual optimization. Several assisting processes have also been devised to make the approach more efficient and robust. Such procedure is able to reduce BER by an order of magnitude.