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In this paper, we study the resource allocation problem of two-cell cognitive radio systems, each cell includes multiple secondary users (SUs). The aim is to maximize the sum capacity of the two cells with constraints. For comparison, two types of multi-carrier modulation, conventional orthogonal frequency division multiplexing (OFDM) and filter bank based multi-carrier (FBMC), are used to evaluate...
Cognitive radio network is one of the emerging areas in the field of next generation wireless network. This network is an alternative and more suitable solution to the high demands of resources for facilitating integrated & multimedia services. Instead of fixed spectrum allocation as it is done in conventional wireless networks, the cognitive radio network is based on dynamic spectrum allocation...
Radio spectrum scarcity hampers the development of new wireless technologies and services. Cognitive radios have been proposed to enable unlicensed (or secondary) users to borrow locally idle bands of the spectrum provided that no significant interference is created for the licensed (or primary) users. Fast adaptation to the changing spectrum availability is naturally a major requirement in such systems...
We propose an adaptive bit and power allocation technique for an orthogonal frequency division multiple access based cognitive radio network. The resources are allocated such that each secondary user attains equal data rate while ensuring the interference leakage to the primary users is below a specific threshold. Integer linear programming based optimal algorithm and a suboptimal method based on...
We propose an adaptive radio resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based uplink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to admit as many SUs as possible in various subcarriers while ensuring no interference is leaked to...
We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework...
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