Spectrum sensing in cognitive sensor networks

Narampanawe, K. M. M. W. N. B.; Navaratne, M. A. U. S.; Wijayakulasooriya, J. V.; Kumara, J. R. S. S.

doi:10.1109/wocn.2010.5587311

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…This Tunable Antenna Design in The UHF TV Band can be used in application such as spectrum sensing [25], wideband TV transmitters [26], wireless microphone, wireless sensor networks [27], broadband communication [6] and many other applications. Cognitive radios are the future trend of wireless communication architecture which will definitely occupy UHF TV band under standardisations.…”

Section: Discussionmentioning

confidence: 99%

Tunable Antenna Design for Cognitive Radios in the UHF TV Band

Narampanawe¹,

Divarathne²,

J.V³

et al. 2013

IJMNCT

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Presently, Ultra Wide Band (UWB) radio technology has attracted much interest in academics, industrial and standardization (IEEE) activities. UWB characterizes transmission systems with instantaneous spectral occupancy of higher bandwidth or higher fractional bandwidth. The antenna is one of the overlooked part of a RF (Radio Frequency) design. The range, performance, and legality of a RF link are significantly dependent upon the antenna. The UHF (Ultra High Frequency) TV Band is exclusively addressed in IEEE802.22 standardization. The UHF TV band is 336MHz wider according to CCIR (Consultative Committee on International Radio) standards. One major challenge in designing a UWB antenna for UHF band is limiting the physical size of the antenna. Authors have previously illustrated the design, implementation and testing of a UWB antenna for cognitive radios in the UHF TV Band[1]. Although it gives better results, performances at lower frequencies are slightly below than the higher frequencies. This problem can be rectified by introducing an impedance matching circuit at particular frequencies. Since it is required to cover a wider bandwidth several matching circuits could be introduced, but it is not practical because of size, complexity, losses, Electromagnetic interferences (EMI) and cost. Therefore this paper presents a simple and low cost Tuneable Antenna design which is controlled by software instructions. Hence this antenna design can be used in implementing cognitive radios in the UHF TV Band.

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Section: Discussionmentioning

confidence: 99%

Tunable Antenna Design for Cognitive Radios in the UHF TV Band

Narampanawe¹,

Divarathne²,

J.V³

et al. 2013

IJMNCT

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Section: Introductionmentioning

confidence: 99%

“…Hence, based on cognitive radio, the cognitive radio network (CRN), as a novel intelligent wireless sensing network, is proposed to overcome the scarcity problem of the spectrum by reusing frequency bands allocated to the primary network (PN) [3]. In order to avoid causing severe interference to the PN, before communications, the sensor node (SN) needs to identify the idle spectrum by performing spectrum sensing [4].Energy detection is the most common method in the spectrum sensing of CRN because of its simple implementation without any prior information of the PN's signal, but it shows lower correct detection performance if the PN is shadowed or in serious fading as a hidden terminal [5,6]. Cooperative spectrum sensing is proposed to overcome the hidden terminal problem, which may generate sensing diversity gain by combining the sensing results of multiple SNs [7].…”

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confidence: 99%

A new sensing‐throughput tradeoff scheme in cooperative multiband cognitive radio network

Liu

2014

Int J Network Mgmt

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A conventional cognitive radio network (CRN) uses the spectrum of the licensed primary network (PN) on the premise of detecting the absence of the PN by the spectrum sensing of the sensor node (SN). In this paper, a cooperative multiband CRN is considered, wherein the SNs are allowed to use some time of the transmission slot to relay PN data by cooperative communication, while using the remaining time of the transmission slot to forward its own data, over multiple sub-bands during each frame, if the presence of PN is detected by cooperative spectrum sensing of the SNs in the sensing slot. A new sensing-throughput tradeoff scheme is formulated as a multi-variable optimization problem, which maximizes the average aggregate throughput of the CRN over all the sub-bands by jointly optimizing spectrum sensing time and sub-band transmission power, subject to the constraints on the average aggregate throughput of the PN, the maximal aggregate power of each SN, and the false alarm and detection probabilities of each sub-band. The bi-level optimization method is adopted to obtain the optimal solution by dividing the multi-variable optimization problem into two convex single-variable suboptimization problems. The simulations show that there exists the optimal sensing time and sub-band transmission power that maximize the average aggregate throughput of the CRN and, compared with the conventional scheme, the throughput obtained by the proposed scheme is outstanding. INTRODUCTIONWith the high development of wireless communications and the rapid increase of user requirements, traditional static spectrum allocation methodology has caused a shortage of spectrum resources [1]. However, recent measurements by the Federal Communications Commission (FCC) have shown that 70% of the allocated spectrum in the USA has not been well utilized [2]. Hence, based on cognitive radio, the cognitive radio network (CRN), as a novel intelligent wireless sensing network, is proposed to overcome the scarcity problem of the spectrum by reusing frequency bands allocated to the primary network (PN) [3]. In order to avoid causing severe interference to the PN, before communications, the sensor node (SN) needs to identify the idle spectrum by performing spectrum sensing [4].Energy detection is the most common method in the spectrum sensing of CRN because of its simple implementation without any prior information of the PN's signal, but it shows lower correct detection performance if the PN is shadowed or in serious fading as a hidden terminal [5,6]. Cooperative spectrum sensing is proposed to overcome the hidden terminal problem, which may generate sensing diversity gain by combining the sensing results of multiple SNs [7]. In cooperative spectrum sensing, each SN performs energy sensing independently, and then reports its local sensing result to a coordinator that combines all the received sensing results for obtaining a final decision on the presence of the PN [8,9]. Cooperative communication is one of the fastest-growing areas of wireless communicati...

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