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We propose an adaptive service model that maximizes the amount of service that spectrum users (SUs) achieve from accessing DSA systems. The proposed model allows SUs to utilize available spectrum efficiently by enabling them to locate spectrum opportunities in a distributed manner, thereby maximizing the long-term rewards that SUs receive. In this model, SUs adapt their required level of service with...
This paper deals with the problem of allocating the multiple primary channels to the multiple secondary users in a sensing-based cognitive radio system. Traffic pattern deviation and SNR variation of the primary channels to each secondary user are exploited for the channel allocation. The sum-throughput of the secondary users is maximized by properly allocating the primary channels to the secondary...
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