Optimized secondary user selection for quality of service enhancement of Two-Tier multi-user Cognitive Radio Network: A game theoretic approach

Roy, Asmita; Midya, Sadip; Majumder, Koushik; Phadikar, Santanu; Dasgupta, Anurag

doi:10.1016/j.comnet.2017.05.002

Cited by 30 publications

(16 citation statements)

References 23 publications

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“…Recently, cognitive radio has emerged in numerous research papers as a promising technology to solve the spectrum inefficiency/scarcity problem. For instance, in [23], secondary users have been categorized by the authors based on their required quality of service, and by utilizing an auction-based model, where the authors increased the spectrum efficiency of their network. The authors in [24], presented multiple cooperation policies between SUs and primary users (PUs).…”

Section: A Related Workmentioning

confidence: 99%

A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

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The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radio spectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using such a technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcity problem and maximize spectrum efficiency. However, two major impediments have been limiting the widespread adoption of cognitive radio technology. The software-defined radio technology, which is the enabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature of the CR can lead to major security concerns about the data being sent and how safe it is. In this paper, we introduce an energy-and-security-aware CR-based communication approach that alleviates the power consumption of the CR technique and enhances its security measures according to the confidentiality level of the data being sent. Furthermore, the proposed approach takes into account user-related factors, such as the users battery level and users data type, and network-related factors, such as the number of unutilized bands and vulnerability level and then models the research question as a constrained optimization problem. Considering the time complexity of the optimum solution, we also propose a heuristic solution. We examine the proposed solution against existing solutions, and our obtained results show that the proposed approach can save energy consumption up to 18%, increase user throughput up to 20%, and achieve better spectrum utilization, up to 98%. Our proposed admission approach has the potential to open a new research direction towards safer and greener cognitive radio techniques. Index Terms-Cognitive radio, next generation wireless networks, green communications, cognitive radio security issues, software defined radio.

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Section: A Related Workmentioning

confidence: 99%

A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

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“…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%

“…We describe the auction game model used in the one tier CRN to ensure that all users get a fair chance to use the spectrum. The auction game model considers all users as cognitive radio users and allows them to sense the spectrum for possible transmission [40]. After sensing, users make a collaborative decision on the ity metric.…”

Section: Auction Game Modelmentioning

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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“…The decision making processes based on collaborative models allow the of use of different techniques, under probabilistic models. In [23], secondary users are classified into two levels: users in real time (RT) and users in non-real time (NRT). This enables to study the conflict and cooperation between both levels that make use of game theory.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Failed Handoff Rate in Collaborative Wireless Networks

Giral¹,

Hernández²,

Rodríguez-Colina³

2020

Preprint

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Cognitive radio is an essential technology to overcome fixed spectrum allocation problems and improve its use through dynamic spectrum access techniques. Spectral decision-making is a function of the cognitive cycle that aims to choose the best spectral alternative among a set of finite possibilities. An inadequate process of decision-making can significantly affect the network parameters. Therefore, it is important to determine the best strategy and if this decision making should be collaborative. The present research analyzes the performance of failed handoff rate according to the amount of information shared between secondary users. The aforementioned information corresponds to the spectral occupancy for the GSM frequency band, that is characterized by a set of users and five levels of collaboration, 10%, 20%, 50%, 80% and 100%, where each level represents the percentage of users are part of the training model implemented. The decision-making process is carried out by using two multi-criteria techniques: Feedback Fuzzy Analytical Hierarchical Process (FFAHP) and Simple Additive Weighting (SAW). Based on the obtained percentage ratios and the information shared, it is determined that for the given number of failed handoffs, the level of collaboration that leads to efficient results is between 20% and 50%.

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Optimized secondary user selection for quality of service enhancement of Two-Tier multi-user Cognitive Radio Network: A game theoretic approach

Cited by 30 publications

References 23 publications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

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

Evaluation of the Failed Handoff Rate in Collaborative Wireless Networks

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