Time domain spectrum allocation using game theory for cognitive radios

Musku, M.R.; Cotae, Paul

doi:10.1109/icmwcn.2007.4668189

Cited by 2 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is not a trivial task to design a broadband and agile radio that operates above 3 GHz. The radio design challenges include receiver sensitivity, dynamic range, frequency generation (synthesizers), and other RF impairments [3,7]. As the radio cycles through the frequencies of interest, the PLL lock time, becomes a significant contributor to the total scan time.…”

Section: Dedicated Sensing Receivermentioning

confidence: 99%

“…Cognitive Radios (CRs) require an accurate assessment of the activities in a desired frequency spectrum in order to determine the availability of idle channels suitable for opportunistic secondary use. Prior research has focused on novel techniques such as centralized network sensing [5], cooperative sensing [6], and the use of statistical methods and game theory [7] to improve sensing time. These techniques are not well suited for practical implementation of CR in time sensitive operations.…”

Section: Introductionmentioning

confidence: 99%

“…These techniques are not well suited for practical implementation of CR in time sensitive operations. By utilizing the techniques presented in [5][6][7], the CR is now dependent on external inputs to make decisions on its operation. With a centralized network sensing, additional costs and delays are introduced by the traffic controller.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, T det for the fine mode can be derived and plugged into (7) in order to determine the overall mean time detection of system defined by T sys in…”

mentioning

confidence: 99%

See 3 more Smart Citations

Optimization of Sensing Receiver for Cognitive Radio Applications

Zamat¹,

Natarajan

2009

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

We propose an optimized dedicated broadband sensing receiver architecture for use in cognitive radios supporting delay sensitive applications. Specifically, we first reason the need for a dedicated sensing receiver that employs a combination of coarse and fine scanning to reduce sensing time over a large bandwidth. We derive an expression for mean acquisition/detection time as a function of a number of parameters including the number of coarse and fine frequency bins employed. We then determine the optimal number of coarse and fine bins that minimize the overall detection time required to identify idle channels under various system conditions. Using analytical and simulation results, we quantify the dependence of optimal coarse and fine bin selection on system parameters such as (1) size of FFT used in scanning; (2) probability of detection and false alarm of the underlying sensing algorithm; (3) signal-to-noise ratio of the received signal, and (4) expected number of available channels. The primary contribution of this work lies in a practical realization of an optimal broadband sensing receiver.

show abstract

Section: Dedicated Sensing Receivermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Similarly, T det for the fine mode can be derived and plugged into (7) in order to determine the overall mean time detection of system defined by T sys in…”

mentioning

confidence: 99%

See 2 more Smart Citations