A Non-Cooperative Game Model with Channel Price Scheme in Cognitive Radio Transmission

Jaishanthi, B.; Ganesh, E. N.

doi:10.1166/jctn.2017.6759

Cited by 3 publications

(2 citation statements)

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“…An ideal non-cooperative game theory approach to spectrum management was developed by [33], in which the major user or service provider sets the dynamic pricing for each channel. Through the implementation of a bid-price system, secondary users will be able to request spectrum access based on their ability to pay; the highest bidders will be given preference for channel access.…”

Section: A Converging Technologies In Dsm: Blockchain and Crmentioning

confidence: 99%

BSM-6G: Blockchain-Based Dynamic Spectrum Management for 6G Networks: Addressing Interoperability and Scalability

Cuellar,

Sallal,

Williams

2024

IEEE Access

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The radio frequency spectrum serves as a fundamental resource for wireless communication, encompassing various frequency bands allocated for diverse services and applications. Dynamic spectrum management (DSM) is essential to optimise the utilisation of this limited and valuable natural resource, with the aim of improving performance and adapting to changing wireless communication demands. Traditional static spectrum allocation methods have shown inefficiencies, leading to spectrum scarcity and under-utilisation. To address these challenges, the integration of blockchain and Cognitive Radio (CR) technologies has emerged as a promising approach. Blockchain, with its decentralised and secure attributes, can improve transparency and trust in spectrum allocation processes, while CR enables intelligent spectrum sensing and allocation to maximise utilisation. However, this promising approach comes with its own critical challenges, especially when dealing with the 6th Generation (6G) mobile communication. These challenges are related to the fact that the blockchain ecosystem needs to be interoperable and scalable enough to be compatible with the 6G high-demand and substantial resources. Specifically, integrating blockchain with CR requires efficient interoperability techniques where blockchain can easily and effectively interact with the CR platforms as well as radio spectrum environments. Furthermore, the spectrum management system over 6G networks needs to be designed in a way where massive 6G resources can be accommodated and managed without having any service performance degradation. This paper introduces a novel radio spectrum management model in 6G networks, named as BSM-6G, which integrates blockchain technology with CR where interoperability is preserved and scalability is maximised. Specifically, the proposed BSM-6G model merges blockchain's transparent record keeping with CR's intelligent spectrum management capabilities. To overcome the interoperability issue, BSM-6G provides an interoperable blockchain Oracle approach which facilitates the real-time interaction among the blockchain platform, the CR, and any data sources off-chain. This paper details all the technical and procedural challenges when implementing the proposed interoperability Oracle approach. To address the scalability challenge, BSM-6G utilizes the Proof-of-History (PoH) consensus protocol to align with the requirements of DSM in advanced networks like Beyond 5th Generation (B5G) and 6G. Evaluation results indicate that BSM-6G offers viable and less complex blockchain Oracle integration architecture measured by the technical implementation of BSM-6G, as well as low interoperability cost measured by transaction response time and transaction fee cost. Compared to state-of-the-art spectrum-based blockchain systems, BSM-6G shows a high scalable DSM-based blockchain in 6G networks measured by transactions per second (TPS).

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Section: A Converging Technologies In Dsm: Blockchain and Crmentioning

confidence: 99%

BSM-6G: Blockchain-Based Dynamic Spectrum Management for 6G Networks: Addressing Interoperability and Scalability

Cuellar,

Sallal,

Williams

2024

IEEE Access

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“…At the receiving end, based on the competitive channel non-cooperative game model (Jaishanthi and Ganesh, 2017), the exact probability of transmitting data of node k is obtained:…”

Section: Adaptive Channel Allocation and Optimal Channel Selectionmentioning

confidence: 99%

Optimal channel selection in parallel scheduling of heterogeneous network based on competitive channel non-cooperative game model

Cheng

Zhou

2020

IJIPT

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In order to improve the parallel scheduling performance and channel balance of heterogeneous network, an optimal channel selection algorithm for parallel scheduling of heterogeneous network based on competitive channel non-cooperative game model is proposed in this paper. In this algorithm, the channel model of heterogeneous network is constructed, and the impulse response frequency doubling technology is adopted to spread the heterogeneous network channels. The simulation results show that this proposed method can improve equalisation and anti-interference ability of channels in optimal channel selection in parallel scheduling of heterogeneous network and it provides the maximum channel transmission bit error rate of 0.35 and channel transmission bit error rate of 0 at signal-to-noise ratio of 50 dB, which indicates that the bit error rate of the receiving end is small. With this method, the end-to-end time delay in parallel scheduling of heterogeneous network is reduced and the channel impulse response time is about 0.4~0.6 seconds, which improves the stability and accuracy of parallel scheduling of heterogeneous network.

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NOn-parametric Bayesian channEls cLustering (NOBEL) Scheme for Wireless Multimedia Cognitive Radio Networks

Ali

Ahmed

Ali

et al. 2019

IEEE J. Select. Areas Commun.

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A Non-Cooperative Game Model with Channel Price Scheme in Cognitive Radio Transmission

Cited by 3 publications

References 0 publications

BSM-6G: Blockchain-Based Dynamic Spectrum Management for 6G Networks: Addressing Interoperability and Scalability

BSM-6G: Blockchain-Based Dynamic Spectrum Management for 6G Networks: Addressing Interoperability and Scalability

Optimal channel selection in parallel scheduling of heterogeneous network based on competitive channel non-cooperative game model

NOn-parametric Bayesian channEls cLustering (NOBEL) Scheme for Wireless Multimedia Cognitive Radio Networks

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