Title :
Cognitive radio multi-channel routing algorithm based on a modified PCNN
Author :
Dongming Zhou ; Zhengqiu Zhang
Author_Institution :
Inf. Coll., Yunnan Univ., Kunming, China
Abstract :
The core idea of cognitive radio technology is to realize the dynamic spectrum allocation and spectrum sharing through spectrum sensing and system learning. This paper sets the throughput and delays as the algorithm design target, puts forward a cognitive radio multi-channel routing algorithm based on a modified PCNN (MPCNN), which fully considered the multi-channel characteristic, through both the channel selection and routing selection, allowing the relatively idle channel to assume more data forwarding tasks, at the same time by reducing the channel interference to improve the network throughput, meanwhile avoid frequently spectrum switching on the busy channels. Thus the switching time delays and the back off delays will be reduced.
Keywords :
cognitive radio; graph theory; learning (artificial intelligence); neural nets; radio spectrum management; radiofrequency interference; spread spectrum communication; telecommunication computing; telecommunication network routing; wireless channels; back off delay reduction; channel selection; cognitive radio multichannel routing algorithm; cognitive radio technology; data forwarding tasks; dynamic spectrum allocation; dynamic spectrum sharing; frequently spectrum switching avoidance; interference reduction; modified PCNN; modified pulse-coupled neural networks; multichannel characteristic; network routing graph; network throughput improvement; routing selection; spectrum sensing; switching time delay reduction; system learning; Algorithm design and analysis; Cognitive radio; Delay; Neurons; Routing; Switches; Throughput;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463224
