Prioritized channel allocation-based dynamic spectrum access in cognitive radio sensor networks without spectrum handoff

Park, Jong Hong; Chung, Jong-Moon

doi:10.1186/s13638-016-0764-4

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…However, the study in [12] did not emphasize the analytical aspect of the study using a detailed Markovian process that depicts the transaction between primary and secondary users, which our research did. Furthermore, as cognitive radio channel access and allocation policy is the foundation for the success of smart grid communication, several allocation strategies have been studied in [13][14][15][16][17].…”

Section: Related Workmentioning

confidence: 99%

“…The arrival of PUs and SUs follows a Poisson procedure with arrival rates of λ ρ , λ s , respectively. Whereas the service times are exponentially distributed with the service rates µ p , µ s for the PUs and SUs, respectively [13,16,17]. For simplicity, we assumed λ s and µ s to be the arrival and service rates of the SUs, respectively.…”

Section: Conceptual Assumptions and System Modelingmentioning

confidence: 99%

“…We also assumed that the PU service requires one channel, while the SU service can aggregate β ≥ 1 resources, depending on the traffic demand. Further assumptions are perfect sensing of the cognitive nodes (HCRBS, CCGW and CFGW) on the PU activities (collision/interference avoidance) as in [11][12][13] and no common control channel for coordinating SUs, as assumed in [17][18][19], to avoid overhead. In addition, no geo-location for SUs, but identical bandwidth requirement with priority for SMU/SU 1 was assumed.…”

Section: Smu≡ Su1mentioning

confidence: 99%

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Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks

2019

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Integrating cognitive radio into the current power grid is designed to enable smart communication and decisions within the grid. Communication within the grid is not feasible without channel(s) and most studies have emphasized the use of cellular spectrum. This study proposes a strategy that enables the use of television white space (TVWS) within the grid. To be specific, we propose using a next-generation utility network (Next-GUN), which leverages on the cognitive radio (CR) channel aggregation capability. This strategy enables the aggregation of idle TVWS into a usable channel, thus making the Next-GUN different from the traditional power network. Next-GUN differs in terms of security, reliability, self-awareness, and cross-layer compatibility to the interface, and conveys different traffic classes, thereby making it a hybrid system. It has no dedicated channel assigned to it, and hence, utilizes the idle TVWS opportunistically to transmit data. The proposed scheme was modelled as a Markovian process and analyzed using a continuous time Markov chain (CTMC). Extensive system simulations were performed to evaluate this proposed model and the corresponding comparison with the literature was done to see the improvement. The result of our comparisons shows that when channels are aggregated, more data/information are transmitted. In addition, the use of cognitive radios on a power network enables smart transaction because idle TVWS is utilized instead of congesting the GSM spectrum. Lastly, the power utility establishment can save the cost of paying for a licensed spectrum.

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Section: Related Workmentioning

confidence: 99%

Section: Conceptual Assumptions and System Modelingmentioning

confidence: 99%

Section: Smu≡ Su1mentioning

confidence: 99%

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Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks

2019

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Erratum to: Massive MIMO signal transmission in spatially correlated channel environments

Park

Byun

Lee

et al. 2017

J Wireless Com Network

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TDMA-tabanlı bir bilişsel radyo ağının sonlu birincil ve ikincil kullanıcılar için modellenmesi, benzetimi ve çağrı başarım analizi

ATMACA

2023

Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Bu makalede; TDMA-tabanlı bir bilişsel radyo ağı modellenmiş ve ağdaki ikincil kullanıcıların (İK’ların) çağrı başarımı farklı birincil ve ikincil kullanıcı trafik parametreleri ile farklı zaman dilimi sayıları için analiz edilmiştir. Gerçekleştirilen modelde birincil kullanıcılar, ortam erişim kontrol mekanizmasında klasik çözümlerden farklı olarak Zaman Bölmeli Çoklu Erişim tekniği kullanmakta, ayrıca ikincil kullanıcılar, birincil kullanıcılar tarafından kullanılmayan zaman dilimlerinden fırsatçı bir yaklaşımla yararlanmaktadır. Geliştirilen ağ modelinde, birincil kullanıcıların kanala erişimde ikincil kullanıcılara göre yüksek önceliğe sahip oldukları ve ikincil kullanıcıların kanal kullanımından etkilenmedikleri varsayılmaktadır. Bilişsel radyo ağının başarımı iki boyutlu sürekli Markov zinciri kullanılarak çağrı-tıkanma ve çağrı-düşme olasılıkları açısından analitik olarak detaylıca analiz edilmiştir. Ayrıca, ilgili ağ modelinin Monte-Carlo benzetimi gerçekleştirilmiş ve benzetim sonuçları analitik sonuçlar ile doğrulanmıştır. Elde edilen benzetim sonuçlarına göre, İK varış hızı λ_s=0,07 ve zaman dilimi sayısı N=4 olduğunda İK çağrı-tıkanma olasılığı 0,0347 iken N=6 için bu değer %95 iyileşerek 0,00172 değerini ve N=8 için ise %99 iyileşerek 0,00034 değerini aldığı görülmüştür.

show abstract

Prioritized channel allocation-based dynamic spectrum access in cognitive radio sensor networks without spectrum handoff

Cited by 3 publications

References 18 publications

Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks

Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks

Erratum to: Massive MIMO signal transmission in spatially correlated channel environments

TDMA-tabanlı bir bilişsel radyo ağının sonlu birincil ve ikincil kullanıcılar için modellenmesi, benzetimi ve çağrı başarım analizi

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