Hybrid Spectrum Sharing through Adaptive Spectrum Handoff and Selection

Lertsinsrubtavee, Adisorn; Malouch, Naceur

doi:10.1109/tmc.2016.2517619

Cited by 27 publications

(16 citation statements)

References 24 publications

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“…e second situation is that if several pairs of secondary users wish to perform simultaneous SH on the same channel, this can also lead to a collision. Once the collision occurs, all relevant data packets are lost and must be retransmitted again [26]. In terms of sensitivity, the SH delay of transmission is very sensitive as the waiting time of the data packets of a new transmission.…”

Section: Spectrum Mobility Protocolsmentioning

confidence: 99%

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Yawada

Dong

2019

Journal of Electrical and Computer Engineering

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Cognitive radio is an innovative technology in the field of wireless communication systems, aimed at significantly improving the use of the radio spectrum while allowing secondary users to access the spectral band opportunistically. Spectrum management mechanism ensures the transmission of data by controlling the efficiency of operation between the primary and secondary networks. The main task of spectrum management is to ensure that secondary users benefit from the spectrum without interfering with primary users. This paper deals with some of the important characteristics of spectrum mobility in the cognitive radio networks. The new management approaches of the mobility and the connection are designed to reduce the latency and loss of information during spectrum handoff, a list of channel safeguard is maintained in this effect, but the maintenance and update are a challenge. In this paper, we describe the reasons and mechanisms of spectrum handoff. Protocols have been developed to illustrate this handoff mechanism. We also make a comparison between the different methods of spectrum handoff. The simulation results obtained confirm that the protocols developed and the proposed method performed better than the pure reactive handoff method.

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Section: Spectrum Mobility Protocolsmentioning

confidence: 99%

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Yawada

Dong

2019

Journal of Electrical and Computer Engineering

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“…However, spectrum efficiency increased becomes slow with growth of Secondary link power. Adisorn et al, [27] proposed Hybrid spectrum sharing strategy, which includes two heuristic algorithms: static spectrum sharing and dynamic spectrum sharing. These sharing approach are selected adaptively basedon the network status.…”

Section: Spectrum Sharingmentioning

confidence: 99%

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Manjula¹,

Venugopal²,

Gudihatti³

2019

IJCA

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The explosive growth of mobile devices and the rapid increase in wireless services necessitate an improvement in communication techniques. This technology can boost spectrum utilization as well as meet the massive connectivity requirement to draw attention from academia and industry. Cognitive Radio Network (CRN) is an evident optimal solution in alleviating the challenges of spectrum unused potentially in wireless networks. The Secondary Users are allowed intelligently to access the sections of spectrum unused (spectrum holes) by the authorized Primary Users (PUs). The objective of this paper is to analyze channel throughput, delay, carrier aggregations, energy efficiency, and security challenges and provide research ideas to enhance the overall performance of the CRN. This review paper completely investigated the potential management of spectrum techniques, essentially in spectrum sensing, spectrum allocation, spectrum sharing, and spectrum handoff in CRN. In addition, we study the energy efficient routing techniques like network optimization frameworks in cooperative networks, protocols and different types of attack issues, approaches for handling the secure communication in CRNs. The state of art review, which deeply examines the Cognitive Radio Network providing an idea of important technology and challenges are addressed. The open research challenges related to spectrum management, energy efficient routing and security are discussed.

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“…The work in [15] developed an analytical model for the general case of non-identical channels in CRNs, and introduced the model for both fixed and probabilistic sequence approaches for target channel selection. In [16], authors proposed an adaptive hybrid spectrum sharing method based on the rate compensation approach and adapted best fit algorithms, taking static and dynamic spectrum sharing algorithms into consideration. In [17], Kumar et al presented a proactive decision-based spectrum handoff algorithm by utilizing multi-attribute decision making method according to different requirements of network service.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Handoff Based on DQN Predictive Decision for Hybrid Cognitive Radio Networks

Cao

Qian

2020

Sensors

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Spectrum handoff is one of the key techniques in a cognitive radio system. In order to improve the agility and the reliability of spectrum handoffs as well as the system throughput in hybrid cognitive radio networks (HCRNs) combing interweave mode with underlay mode, a predictive (or proactive) spectrum handoff scheme based on a deep Q-network (DQN) for HCRNs is proposed in this paper. In the proposed spectrum handoff approach, spectrum handoff success rate is introduced into an optimal spectrum resource allocation model to ensure the reliability of spectrum handoff, and the closed-form expression for the spectrum handoff success rate is obtained based on the Poisson distribution. Furthermore, we exploit the transfer learning strategy to further improve the DQN learning process and finally achieve a priority sequence of target available channels for spectrum handoffs, which can maximize the overall HCRNs throughput while satisfying constraints on secondary users’ interference with primary user, limits on the spectrum handoff success rate, and the secondary users’ performance requirements. Simulation results show that the proposed spectrum handoff scheme outperforms the state-of-the-art spectrum handoff algorithms based on predictive decision in terms of the convergence rate, the handoff success rate and the system throughput.

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Hybrid Spectrum Sharing through Adaptive Spectrum Handoff and Selection

Cited by 27 publications

References 24 publications

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Spectrum Handoff Based on DQN Predictive Decision for Hybrid Cognitive Radio Networks

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