Efficient and Fair Bandwidth Allocation in Multichannel Cognitive Radio Networks

Xu, Dan; Jung, Eric; Liu, Xin

doi:10.1109/tmc.2011.168

Cited by 37 publications

(20 citation statements)

References 34 publications

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“…Price-based resource allocation in two-tier femtocell networks using a price bargaining algorithm has been presented in [17] where interference from SUs (femtocell users) is considered as a price to reduce the SUs' payoffs. Optimal bandwidth allocation using channel reconfiguration for SUs to maximize the per-SU throughput has been studied in [18].…”

Section: A Related Workmentioning

confidence: 99%

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Stackelberg-Game-Based Dynamic Spectrum Access in Heterogeneous Wireless Systems

Rawat

Shetty

Xin

2016

IEEE Systems Journal

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In this paper, we investigate a two-stage Stackelberg game for dynamic spectrum access (DSA) in cognitive radio networks using a leader [spectrum provider (SP)] subgame and a follower [secondary user (SU)] subgame. Our research distinguishes itself in a number of ways. First, a two-stage Stackelberg game has been proposed to provide a unique optimal solution that facilitates a tradeoff between quality of service (QoS) of unlicensed SUs and revenue of SPs. Second, comprehensive budget and QoS constraints imposed by the signal-to-interference-plus-noise ratio are defined to fully take into account QoS requirements. Third, a necessary condition and closed form for the existence of the Stackelberg equilibrium are presented for multiradio multichannel DSA. Analytical and simulation studies are carried out to assess the performance of the proposed game, and the numerical results verify that the proposed approach reaches the unique Stackelberg equilibrium.Index Terms-Cognitive radio network (CRN), dynamic spectrum access (DSA), game theory, quality of service (QoS) in multiradio cognitive networks.

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Section: A Related Workmentioning

confidence: 99%

“…Proof: Revenue optimization can be solved by Lagrangian operation by expressing (18) with (19) and (20) as…”

Section: Definition 2 (Best Response For the Sppsg)mentioning

confidence: 99%

Stackelberg-Game-Based Dynamic Spectrum Access in Heterogeneous Wireless Systems

Rawat

Shetty

Xin

2016

IEEE Systems Journal

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“…The user allocations are recomputed dynamically each time activities of PUs change the status of the spectrum. In [12], the channel reconfiguration algorithm based on the knapsack problem is introduced to optimize the number of SUs added in each time slot. The assigned time slot for SUs can be rearranged when the status of the spectrum is changed regarding the PUs activities, and thus the global utilization can be maximized.…”

Section: Related Workmentioning

confidence: 99%

Hybrid spectrum sharing through adaptive spectrum handoff for cognitive radio networks

Lertsinsrubtavee

Malouch

Fdida

2014

2014 IFIP Networking Conference

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International audienceSharing available resources in cognitive radio networks can benefit from spectrum handoff to enhance the rate performance by switching from current unavailable channels to the available ones. However, spectrum handoff can cause transmission interruptions leading to the degradation of services. In this work, we aim to balance the tradeoff between benefits of spectrum handoff and their negative impacts on spectrum sharing. Therefore, we develop an adaptive hybrid strategy that includes novel static and dynamic spectrum sharing based essentially on a rate compensation concept. The former is suitable when spectrum handoff is not necessary. The latter allows performing spectrum handoff to compensate the lost rate from the unavailable periods and improve the rate performance. We compare our hybrid strategy with a fully dynamic one and an optimization framework. Through simulations, we show that our strategy reduces the number of handoffs significantly while the achieved rate is fulfilling compared to the optimal

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“…The user allocations are recomputed dynamically each time activities of PUs change the status of the spectrum. Similar to [11], [12], the channel reconfiguration algorithm based on the knapsack problem is introduced to optimize the number of SUs added in each time slot. The assigned time slot for SUs can be rearranged when the status of the spectrum is changed regarding the PU activities, and thus the global utilization can be maximized.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Spectrum Sharing through Adaptive Spectrum Handoff and Selection

Lertsinsrubtavee

Malouch

2016

IEEE Trans. on Mobile Comput.

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Abstract-Spectrum sharing is a key function to provide fairness allocation as well as service satisfaction across multiple users in cognitive radio networks. Even though spectrum sharing can benefit from spectrum handoff to enhance rate performance by switching from unavailable channels to available ones, the negative impact on handoff delay can cause significant service degradation. In this work, we present a hybrid spectrum sharing strategy that includes novel static and dynamic spectrum sharing algorithms based essentially on a rate compensation approach and adapted best fit algorithms. The static scheme is applicable for some specific network configurations where spectrum handoff is not necessary. Conversely, the dynamic scheme can benefit from spectrum handoff to increase the achieved rate and also compensate for the lost rate from the unavailable periods. These two sharing schemes are operated adaptively according to the current network environment. We compare our hybrid strategy with a fully dynamic one and an optimization framework. The proposed hybrid spectrum sharing demonstrates its effectiveness in terms of improving the overall service satisfaction and reducing the number of handoffs while the achieved rate is fulfilling compared to the optimal.

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Efficient and Fair Bandwidth Allocation in Multichannel Cognitive Radio Networks

Cited by 37 publications

References 34 publications

Stackelberg-Game-Based Dynamic Spectrum Access in Heterogeneous Wireless Systems

Stackelberg-Game-Based Dynamic Spectrum Access in Heterogeneous Wireless Systems

Hybrid spectrum sharing through adaptive spectrum handoff for cognitive radio networks

Hybrid Spectrum Sharing through Adaptive Spectrum Handoff and Selection

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