Optimizing Capacity-Throughput Tradeoff for Enhanced Spectrum Sensing in CSS Based Cognitive Home Area Network

Majumdar, Suvaditya; Chattopadhyay, Sudipta; Biswas, Vaishna; Ghatak, Suman Roy

doi:10.1109/wispnet48689.2020.9198391

Cited by 1 publication

(5 citation statements)

References 9 publications

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“…The above simulation results conclude the performance analyses of our proposed hybrid model. In Section 4.1, the results for the proposed optimal relay selection scheme are in agreement with our derived analytical expressions shown in Equations ( 5) and (8). The theoretical values for OPSF are approximately equal to our experimental results as shown in Table 3.…”

Section: Performance Analysis With Respect To Existing Worksupporting

confidence: 84%

“…It is observed that for a given value of power splitting factor ρ i , the maximum SNR is obtained. Table 3 shows the values of the OPSF obtained numerically from Equation (8). It is observed that the simulation results closely resemble with the theoretical values.…”

Section: Performance Analysis Of Relay Selection Schemesupporting

confidence: 59%

“…Our proposed optimal PSR‐based CSS model is compared against some existing works done on relay‐based CSS networks and is shown to give a better detection performance. Finally, our voting rule is also shown to provide a smaller error rate than the existing DVR, 16 PVR, 7 CTE, 8 and FVR 9 in literature. Future works of this model may incorporate the proposed model with other fading environments like Rician and Nakagami‐m models.…”

Section: Discussionmentioning

confidence: 80%

“…Finally, in Figure 13, our proposed voting rule based on the new objective function mentioned in Equation ( 12) is compared with DVR, 16 PVR, 7 CTE, 8 and FVR. 9 The result of comparison shows that the proposed voting rule exhibits better performance by giving a smaller error rate than other existing voting rules.…”

Section: Performance Analysis With Respect To Existing Workmentioning

confidence: 99%

“…Their proposed voting rule (PVR) optimizes the majority rule by exploiting the difference in outage of the reported information due to the presence or absence of the PU in the channel. The work presented in Majumdar et al 8 shows a new optimized voting rule is using channel capacity, throughput, and sensing time as determining factors. Furthermore in their study, 9 Majumdar et al analyze the effect of large and small‐scale fading environments in the channel throughput and error function of a CSS network, for different numbers of SUs.…”

Section: Introductionmentioning

confidence: 99%

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A novel relay‐aided centralized cooperative spectrum sensing scheme using radio frequency energy harvesting

Majumdar

Thakur

Chattopadhyay

2022

Int J Communication

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Summary In a cooperative spectrum sensing (CSS) network, the primary signal can be used as a radio frequency (RF) source in order to power the energy‐constrained sensor nodes of the secondary network. This work presents a novel hybrid model combining an optimal relay selection scheme to incorporate RF energy harvesting in a centralized CSS network. The secondary users, which are equipped with RF energy harvesting capabilities, act as relays in order to forward the sensing information to a fusion center. Here, we have derived an enhanced multi‐relay selection strategy to maximize the end‐to‐end signal‐to‐noise ratio of the links. Furthermore, a new voting rule is proposed based on the generalized K‐out‐of‐M rule, such that it minimizes our objective error function. The performance analysis of our proposed model is presented with respect to the flexible relay positions. We have used complementary receiver operating characteristic curves for analyzing the detection performance of the CSS model with our derived voting rule. Simulation results using MATLAB show that the proposed model gives a better detection probability and a smaller error rate than some related existing works.

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Section: Performance Analysis With Respect To Existing Worksupporting

confidence: 84%

Section: Performance Analysis Of Relay Selection Schemesupporting

confidence: 59%