Mobility Management Strategies in Heterogeneous Cognitive Radio Networks

Damljanović, Zoran

doi:10.1007/s10922-009-9146-0

Cited by 20 publications

(10 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The collision among SUs was prevented through a distributed channel determination scheme. Damljanovic explained the proper solutions and spectrum mobility necessities in cognitive radio networks [16]. Duan and Li proposed a spectrum handoff strategy in which the optimal spectrum band was chosen based on a multiplex criterion considering the estimated transmission time, the PU presence probability and the spectrum availability time [17].…”

Section: Related Workmentioning

confidence: 99%

Modelling of routing and spectrum handoff in CR-MANETs

Nejatian

Yusof

Latiff

et al. 2014

J Wireless Com Network

View full text Add to dashboard Cite

There is an extensive research interest in cognitive radio mobile ad hoc networks (CR-MANETs) to improve the spectrum efficiency by developing innovative design techniques through various layers of the protocol stacks. This paper presents the optimisation of CR-MANETs by exploiting the efficient usage of the available wireless spectrum through a framework for spectrum-aware handoff. In this paper, the concept of integrated handoff management in CR-MANETs is considered. An analytical model for a spectrum handoff scheme is introduced based on spectrum mobility in which secondary users (SUs) will move to another unused spectrum band, giving priority to a Primary User (PU), while satisfying its communication quality of service (QoS). The main contribution is using the Markov chain to model the evolution of the network (node position, node speed, channel quality, etc.) and to propose the combined spectrum handoff and routing. The performance of the network is analyzed based on the Markov chain. The comparison results from both analytical modelling and simulation clearly show an improvement in the performance of the SU network in terms of the route maintenance probability and the SU throughput. It is also proved that not only the PU activity affects the performance of the handoff management scheme but also the channel transmission range and the node mobility have a significant effect on the performance of the management scheme.

show abstract

Section: Related Workmentioning

confidence: 99%

Modelling of routing and spectrum handoff in CR-MANETs

Nejatian

Yusof

Latiff

et al. 2014

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…The collision among SUs was also deleted by a distributed channel determination scheme. Damljanovic explained the proper solutions and spectrum mobility necessities in cognitive radio networks [8]. Duan and Li proposed a spectrum handoff strategy in which the optimal spectrum band was chosen based on a multiplex criterion considering the estimated transmission time, the PU presence probability, and the spectrum availability time [9].…”

Section: Related Workmentioning

confidence: 99%

“…Based on (27), to estimate the availability time, relative speed of the nodes is determined. The authors of [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] have employed the SU's mobility to predict the availability time for cognitive radio networks. However, they estimate the link availability time using relative movement information such as relative speed and relative direction of the communicating nodes.…”

Section: Channel and Link Usage Time Predictionmentioning

confidence: 99%

Proactive integrated handoff management in cognitive radio mobile ad hoc networks

Nejatian

Yusof

Latiff

et al. 2013

J Wireless Com Network

View full text Add to dashboard Cite

In cognitive radio networks, the secondary users (SUs) switch the data transmission to another empty spectrum band to give priority to primary users (PUs). In this paper, channel switching in cognitive radio mobile ad hoc networks (CR-MANETs) through an established route is modeled. The probability of channel availability in this route is calculated based on the PU's activity, SU's mobility, and channel heterogeneity. Based on the proposed model, the channel and link availability time are predicted. These predictions are used for channel assignment in the proposed channel allocation scheme. A handoff threshold as well as a life time threshold is used in order to reduce the handoff delay and the number of channel handoffs originating from the short channel usage time. When the channel handoff cannot be done due to the SU's mobility, the local flow handoff is performed to find an appropriate node in the vicinity of a potential link breakage and transfer the current data flow to it. The local flow handoff is performed to avoid possible flow disruption and also to reduce the delay caused by the link breakage. The study reveals that the channel heterogeneity and SU's mobility must be considered as important factors, which affect the performance of the handoff management in the CR-MANETs. The results emphasize on the improvement of the route maintenance probability after using the local flow handoff. It is also stated that the amounts of handoff requirement and handoff delay are decreased after using the predicted channel usage life time and handoff threshold time.

show abstract

“…Studies handling mobility issue in cognitive radio networks are restricted and most of them dress only some challenges and opportunities for CR networks mobility design without giving an effective solution to the problem [5][6].…”

Section: Related Workmentioning

confidence: 99%

A mobility scheme for cognitive radio networks

Trigui

Esseghir

Merghem-Boulahia

2013

2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET)

View full text Add to dashboard Cite

Cognitive radio network is a promising wireless network where smart devices are able to opportunistically exploit the spectrum holes and optimize the overall radio spectrum use. The provision of quality of service and mobility management is imperative to provi ding efficient cognitive radio systems. In this paper, we present a mobility scheme that enables cognitive radio users to seamlessly switch towards the best available spectrum band when moving from one network to another one. On the one hand, our proposal conserves the frequency and the bandwidth needed for users' application. On the other hand, it allows cognitive radio users to have the best band with a good price and a large use duration based on a trading mechanism established between primary and cognitive radio users. S imulation results prove that our approach preserves users' continuity of service during their mobility and ensures high utility for both primary and cognitive radio users.

show abstract

Mobility Management Strategies in Heterogeneous Cognitive Radio Networks

Cited by 20 publications

References 20 publications

Modelling of routing and spectrum handoff in CR-MANETs

Modelling of routing and spectrum handoff in CR-MANETs

Proactive integrated handoff management in cognitive radio mobile ad hoc networks

A mobility scheme for cognitive radio networks

Contact Info

Product

Resources

About