Design and Implementation of VoIP Based Two-Tier Cognitive Radio Network for Improved Spectrum Utilization

Chakraborty, Tamal; Misra, Iti Saha; Manna, Tanumay

doi:10.1109/jsyst.2014.2382607

Cited by 15 publications

(5 citation statements)

References 45 publications

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“…It is noted that with the increase in T D , both T and decrease. Furthermore, both the curves are observed to follow the strictly decreasing nature with respect to T D satisfying (23) and (24). This variation can be explained from the relation between T D , state transition probabilities, and H2M2 performance as highlighted previously in Section 3.3.…”

Section: Analysis Of Ispto Performancementioning

confidence: 51%

“…Further, high PU activity channels also result in increased call drops during VoIP communication over CRN. 24 Therefore, an SU with RT application is not an ideal candidate for exploiting HMM-based prediction for energy efficient data transmission over high PU activity channels. However, unlike RT SUs, NRT applications do not have strict delay and throughput requirements.…”

Section: Literature Survey and Motivationmentioning

confidence: 99%

“…The process now finds the solution within the new brackets having smaller search spaces than the initial one. Therefore, it can be concluded that the strictly decreasing nature of in (24) ensures convergence of the solution in O(M) time, where M is the number of iterations involved in the root finding technique. We now give our proposed ISPTO algorithm that is based on Ridder's method to obtain the optimal solution to (25).…”

Section: Proof Of Convergencementioning

confidence: 99%

“…on whether f(T D,1 )f(T D,3 ) < 0 or f(T D,2 )f(T D,3 ) < 0, the root now lies within either ( T D,1 , T D,3 )or ( T D,3 , T D,2 ), respectively. Therefore, it can be concluded that the strictly decreasing nature of in(24) ensures convergence of the solution in O(M) time, where M is the number of iterations involved in the root finding technique. Therefore, it can be concluded that the strictly decreasing nature of in(24) ensures convergence of the solution in O(M) time, where M is the number of iterations involved in the root finding technique.…”

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confidence: 99%

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A prediction and scheduling framework in centralized cognitive radio network for energy efficient non‐real time communication

Manna

Misra

2018

Int J Communication

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Advent of Internet of Things led to an exponential rise in battery-operated sensors transmitting small non-real time (NRT) data regularly. To this end, this work proposes a framework for centralized cognitive radio network (CRN) that facilitates better spectrum utilization and low-cost opportunistic NRT data transfer with high energy efficiency. The novelty of this framework is to incorporate Hidden Markov Model-based prediction within the traditional cognitive radio sensing-transmission cycle. To minimize the prediction time, we design a Hardware-based Hidden Markov Model engine (H2M2) to be used by the cognitive base station (CBS). CBS exploits the H2M2 engine over high primary user (PU) activity channels to minimize the collisions between PUs and NRT secondary users, thereby reducing the SU energy consumption. However, this is at the cost of reduced throughput. Taking this into account, we propose an Intersensing-Prediction Time Optimization algorithm that identifies the predictable PU activity channels and maximizes the throughput within a PU interference threshold. Furthermore, to minimize the total battery consumption of all the SUs within CRN, a Battery Consumption Minimizing Scheduler is designed at the CBS that efficiently allocates the predictable PU channels to the NRT SUs. By exploiting the unutilized high PU activity channels, the proposed Centralized Scheduling, Sensing and Prediction (CSSP) framework improves the spectral efficiency of the CRN. Exhaustive performance studies show that CSSP outperforms traditional nonpredictive sensing techniques in terms of energy efficiency and interference management. Finally, through a proof of concept, we validate the ability of CSSP framework in enabling NRT communication.

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Section: Analysis Of Ispto Performancementioning

confidence: 51%

Section: Literature Survey and Motivationmentioning

confidence: 99%

Section: Proof Of Convergencementioning

confidence: 99%

mentioning

confidence: 99%

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A prediction and scheduling framework in centralized cognitive radio network for energy efficient non‐real time communication

Manna

Misra

2018

Int J Communication

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“…The ROHT was compared only with the Otsu method in [33] [38]. In [39], a two tier CRN was developed that consists of one tier for the primary users and the two tiers for the secondary users comprising of real and non-real time users. In [40], authors used the auction game model to optimize the two-tier CRN overcoming the limitations of the approach in [39].…”

Section: Relate Workmentioning

confidence: 99%

Performance Analysis of Dynamic Threshold Estimation Techniques Based on the One-Tier Cognitive Radio Network

Gupta¹,

Onumanyi²

2019

JCC

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Cognitive Radios (CRs) use dynamic threshold estimation (DTE) techniques to better detect primary user signals under noise uncertainty regimes. However, DTE techniques have rarely been compared before, particularly under the one tier CR network (CRN) model, making it difficult to assess their comparative performance characteristics under this regime. Thus, in this paper, we have investigated the performance of some notable DTE methods under the one-tier CRN model. We used the auction game model in our investigation to compare fairly the spectrum efficiency performance of each technique. Our findings show that DTEs generally perform better than the fixed threshold method particularly under unpredictable noise uncertainty regimes. Our results show further that the channel utilization (CU) rate of the fixed threshold method, popularly used by researchers, plummets by 50.26% for a 1 dB increase in the noise uncertainty level, while the CU rate of the DTE techniques interestingly increased by an average of 4%. Our investigation will enable CR Engineers to better understand the performance characteristics of DTE techniques under the one-tier CRN model.

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Overview of VoIP Technology

Chakraborty¹,

Misra

Prasad

2018

Springer Series in Wireless Technology

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Design and Implementation of VoIP Based Two-Tier Cognitive Radio Network for Improved Spectrum Utilization

Cited by 15 publications

References 45 publications

A prediction and scheduling framework in centralized cognitive radio network for energy efficient non‐real time communication

A prediction and scheduling framework in centralized cognitive radio network for energy efficient non‐real time communication

Performance Analysis of Dynamic Threshold Estimation Techniques Based on the One-Tier Cognitive Radio Network

Overview of VoIP Technology

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