New economic perspectives for resource allocation in wireless networks

Fattahi, A.R.; Paganini, Fernando

doi:10.1109/acc.2005.1470595

Cited by 22 publications

(7 citation statements)

References 12 publications

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“…In Table 2, it is denoted that, when user 19 is at P1, its SIR reaches higher than the minimum target SIR (19.4236), because it is nearer to the base station and has a better channel capacity. However, while moving to P2, its SIR will be reduced to target SIR (10). Moreover, because of the increased distance from the base station, it has to increase transmit power and cause an interference in the primary user 6 to cross the threshold; therefore, user 6 will not be able to reach its preferable target SIR and this event is not acceptable, because PUs have higher priority than SUs.…”

Section: Interference Control In the Pu Using Phase Systemmentioning

confidence: 99%

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An Efficient Distributed Power Control in Cognitive Radio Networks

Faridi¹,

Jafari²,

Dehghani³

2016

IJITCS

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Abstract-In cognitive radio networks, when primary users (PUs) do not use a shared frequency band, secondary users (SUs) are allowed to use that frequency band. However, when SU using frequency band and reclaiming PU also wants to use this band, there are two solutions: SU jumps to another existing spectrum band or stays in the same frequency band and changes its power so that interference in the reclaiming PUs does not exceed a threshold. Since the first solution interrupts the SUs' work, the second solution is more appropriate. Therefore, power control in cognitive networks is absolutely significant which should receive more attention. In the previous work (TPC-CBS) [2], TPC algorithm has been used for power control. The drawback of this algorithm is fixed target SIRs. In other words, while using this algorithm, all the users having enough sources or extra sources reach the same target SIR, which is not desirable. Therefore, in this paper, we are going to solve it by means of the proposed algorithm called "An Efficient Distributed Power Control Algorithm for Cognitive Networks (EDPC)". By the proposed algorithm, when a user has a bad channel, its SIR sets to the minimum target SIR and, when it has a good channel, its SIR will be more than the minimum value. Moreover, by means of fuzzy logic systems (FLS), the value of interference on reclaiming PU caused by SUs is checked in each iteration and power level of SUs is decreased if this value exceeds a threshold. Simulation results show that using our proposed algorithm not only allows SUs and PUs use frequency band simultaneously, but also enhances throughput significantly in comparison with the previous approaches (TPC-CBS).

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Section: Interference Control In the Pu Using Phase Systemmentioning

confidence: 99%

“…Similar to [8], [9], [10], and [11], we calculate the whole system throughput (sum of the throughput of all users) by:…”

Section: Introductionmentioning

confidence: 99%

An Efficient Distributed Power Control in Cognitive Radio Networks

Faridi¹,

Jafari²,

Dehghani³

2016

IJITCS

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“…The utility function for each player was defined as the sum of capacity values acquired over K subcarriers subtracting the interference caused on the primary user. The potential games were also studied in for the power control problem in code division multiple access system and in to model an interference avoidance scheme. In addition, a potential game framework encompassing both power control and channel allocation in CR networks was proposed in .…”

Section: Introductionmentioning

confidence: 99%

Non‐cooperative power control and spectrum allocation in cognitive radio networks: a game theoretic perspective

Duong

Madhukumar

2012

Wireless Communications

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The invention of cognitive radio (CR) concept aims to overcome the spectral scarcity issues of emerging radio systems by exploiting under‐utilization of licensed spectrum. Determining how to allocate unused frequency bands among CR is one of the most important problems in CR networks. Because different CRs may have different quality‐of‐service requirements, they may have different objectives. In voice communication, high‐speed transmission is the most important factor; hence, voice radios always try to maximize their transmission rate. However, in data communication, the most important factor is the bit error rate. The data radios always try to maximize their signal‐to‐interference‐plus‐noise ratio (SINR). In this paper, two non‐cooperative games named interference minimization game and capacity maximization game, which reflect the target of data radios and voice radios, respectively, are proposed. From the simulations, after these games are applied, the average SINRs of all players at each channel are improved. The average SINR of players in each channel after applying the capacity maximization game is smaller than that after applying the interference minimization game. However, in comparison with that after applying the interference minimization game, the average capacity of players after applying capacity maximization approach is larger. Copyright © 2012 John Wiley & Sons, Ltd.

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“…In [5], an extensive study about the adoption of Game Theory based methods in wireless networks has been done. Potential Games applications in CDMA power control problems have been investigated in [6] and [7], while in [8] this mathematical framework has been used to model an interference avoidance scheme. However it is in Cognitive Radio networks analysis that Potential Games are being used widely, as firstly noticed in [9].…”

Section: Introductionmentioning

confidence: 99%

A power allocation strategy using Game Theory in Cognitive Radio networks

Gorni

Ronga

et al. 2009

2009 International Conference on Game Theory for Networks

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Abstract-The Cognitive Radio approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper investigates how the adoption of a cognitive radio strategy can help in the coexistence problem of two wireless networks operating on the same spectrum of frequencies. A DVB-SH based satellite network will be considered as primary system, while an infrastructured wireless terrestrial network will constitute the cognitive radio based secondary system. In this work it will be presented a power resource allocation technique based on Game Theory, considering mainly Potential Games. We will show the proposed approach is suitable for distributed implementation, furthermore it provides performances comparable to an heuristic allocation method representing the optimum allocation. The comparison between these two resource allocation methods will be provided as result of this work.

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New economic perspectives for resource allocation in wireless networks

Cited by 22 publications

References 12 publications

An Efficient Distributed Power Control in Cognitive Radio Networks

An Efficient Distributed Power Control in Cognitive Radio Networks

Non‐cooperative power control and spectrum allocation in cognitive radio networks: a game theoretic perspective

A power allocation strategy using Game Theory in Cognitive Radio networks

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