Spectrum mobility management in cognitive two‐tier networks

Sethom, Kaouthar; Pujolle, Guy

doi:10.1002/nem.2019

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…In non-channel switching, when a PU reappears, an SU stays on the same channel and waits for the PU to vacate the channel to resume its unfinished transmission [11,12]. For short PU data transmission, the non-handoff mechanism is a better choice, because PU interference is very low [13]. In channel switching handoff, the SU leaves that channel and switches to a new idle channel when the PU reappears.…”

Section: Background and Related Workmentioning

confidence: 99%

Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Rahim

Alfakeeh

Hussain

et al. 2020

Sensors

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The focus of research efforts in cognitive radio networks (CRNs) has primarily remained confined to maximizing the utilization of the discovered resources. However, it is also important to enhance the user satisfaction in CRNs by finding a suitable match between the secondary users and the idle channels available from the primary network while taking into consideration not only the quality of service (QoS) requirements of the secondary users but the quality of the channels as well. In this work, the Gale Shapley matching theory was applied to find the best match, so that the most suitable channels from the available pool were allocated that satisfy the QoS requirements of the secondary users. Before applying matching theory, two objective functions were defined from the secondary user’s perspective as well as from the channel’s perspective. The objective function of secondary users is the weighted sum of the data rate of the secondary users and the probability of reappearance of the primary user on the channel. Whereas, the objective function of the channel is the maximum utilization of the channel. The weight factors included in the objective functions allow for diverse service classes of secondary users (SUs) or varying channel quality characteristics. The objective functions were used in developing the preference lists for the secondary users and the idle channels. The preference lists were then used by the Gale Shapely matching algorithm to determine the most suitably matched SU-channel pairs. The performance of the proposed scheme was evaluated using Monte–Carlo simulations. The results show significant improvement in the overall satisfaction of the secondary users with the proposed scheme in comparison to other contemporary techniques. Further, the impact of changing the weight factors in the objective functions on the secondary user’s satisfaction and channel utilization was also analyzed.

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Section: Background and Related Workmentioning

confidence: 99%

Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Rahim

Alfakeeh

Hussain

et al. 2020

Sensors

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“…rough the information obtained concerning the use of the channel, a transmitter SU examines the SH technique (equation (5)) of the current channel while determining in advance the accessibility of the channel at the end of the frame. When the SH technique does not obey, this proves that the channel is always in an idle state and can be used for the next data transmission.…”

Section: Spectrum Mobility Protocolsmentioning

confidence: 99%

“…Hybrid handoff is a sensible tradeoff between pure proactive and pure reactive. e handoff time of spectrum more rapid can be achieved because the time of spectrum detection is not performed during the course of the handoff procedure [5]. However, the target channel may remain old as this is done in a pure proactive approach.…”

Section: Introductionmentioning

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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Vehicular Networks

2022

Edge Networking

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Spectrum mobility management in cognitive two‐tier networks

Cited by 5 publications

References 16 publications

Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Vehicular Networks

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