A Distributed Resource Control for Fairness in OFDMA Systems: English-Auction Game with Imperfect Information

Noh, Wonjong

doi:10.1109/glocom.2008.ecp.798

Cited by 20 publications

(18 citation statements)

References 14 publications

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“…In this particular example, a good trade-off between performance and complexity is D = {8, 16} and p kn = 600 nW. Using these values, the number of operations of the proposed algorithm is experimentally lower than the product K · N, and so considerably lower than the number of operations required by the schemes available in the literature (e.g., see [6,16,18]). Our experiments with different data rate demands show that a smaller data rate reduces also the number of operations significantly.…”

Section: Numerical Resultsmentioning

confidence: 88%

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An OFDMA resource allocation algorithm based on coalitional games

Shams

Bacci

Luise

2011

J Wireless Com Network

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This work investigates a fair adaptive resource management criterion (in terms of transmit powers and subchannel assignment) for the uplink of an orthogonal frequency-division multiple access network, populated by mobile users with constraints in terms of target data rates. The inherent optimization problem is tackled with the analytical tools of coalitional game theory, and a practical algorithm based on Markov modeling is introduced. The proposed scheme allows the mobile devices to fulfill their rate demands exactly with a minimum utilization of network resources. Simulation results show that the average number of operations of the proposed iterative algorithm are much lower than K · N, where N and K are the number of allocated subcarriers and of mobile terminals.

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Section: Numerical Resultsmentioning

confidence: 88%

“…The complexity of this algorithm is O(K N + K 2 ), again without considering the solution of the RBS. In [18], Noh proposes a distributed and iterative auction-based algorithm in the OFDMA uplink scenario with incomplete information. The experimental complexity of the algorithm is O(K Nlog 2 K).…”

Section: Introductionmentioning

confidence: 99%

An OFDMA resource allocation algorithm based on coalitional games

Shams

Bacci

Luise

2011

J Wireless Com Network

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“…Non-cooperative game can solve the issue of some undesirable Nash equilibrium that sometimes affects cooperative strategies. In [7], an iterative resource control algorithm for distributed OFDMA systems using an auction game is proposed. Users and BS control the transmitted power and bid to maximize their utility.…”

Section: Introductionmentioning

confidence: 99%

“…The Nash Bargaining Solution (NBS) is considered in [4] together with coalition in order to find an optimal agreement among negotiating users. Other approaches considering the use of game theory in OFDMA RRM have been proposed by Han, Ji and Liu in [6] and by Noh in [7]. In [6] a non-cooperative resource competition game is proposed in opposition to the cooperative approach of [4].…”

Section: Introductionmentioning

confidence: 99%

An OFDMA RRM strategy based on QoE maximization and radio resource redistribution

Granelli

Sacchi

2012

2012 IEEE Aerospace Conference

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The optimal allocation of power and subcarrier resources in Orthogonal Frequency Division Multiple Access (OFDMA) systems represents a hot topic widely dealt with in literature, given the need to balance the tradeoff between efficiency and fairness. Current state-of-the-art solutions are suboptimal. Indeed, efficiency often privileges users that can exploit favorable channel conditions, while fairness ignores the notion that different users might have different requirements. In this paper, we propose a balanced OFDMA Radio Resource Management (RRM) strategy targeted at maximizing the Quality-of-Experience (QoE), rather than Quality-of-Service (QoS). The proposed RRM is inspired by Game Theory and aims at maximizing the application-oriented Mean-Opinion Score (MOS). The proposed work is intended to go beyond the state-of-the-art by enabling flexibility and dynamicity throughre-allocation of resources utilized by those users strongly disadvantaged by adverse channel conditions. The radio resources "wasted" by such users (not able to reach the required QoE level) can be reassigned to the remaining users in order to increase their MOS metrics. Preliminary results showed a sensible QoE increase for the users' population after the radio resource redistribution, in particular for low signalto-noise ratios and larger number of users.

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“…The scenario showed that employing interference avoidance schemes in the network improved the overall network utility. In the English auction game proposed as in [18], users bid for the decoding priorities and the winner obtains the highest decoding priority on a given subcarrier. Authors in [19] examined a distributed RA solution in an uplink multi-cell OFDMA system using Shapley's potential games.…”

Section: Introductionmentioning

confidence: 99%

SIRA: A socially inspired game theoretic uplink/downlink resource aware allocation in OFDMA systems

El-Hajj

Awad

Dawy

2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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Given the exploding number of mobile subscribers and the quality of service requirements of emerging mobile services specially the multimedia ones, efficient use of the limited network resources has become so important that it is driving development of intelligent resource allocation (RA) algorithms. Whereas link specific RA problems have been widely investigated in the literature targeting either the uplink or downlink of a communication system, we present in this paper, SIRA, a novel joint uplink/downlink RA scenario in an OFDMA system for users running symmetrical services on their mobile devices. The RA process is modeled as a social gaming paradigm where users are considered as players interacting with the base station which takes the role of a principal controlling the RA game. Intelligently evolving from a soft RA and inspired by the model of team development proposed by Bruce Tuckman, SIRA uses penalty based concepts which play a feedback mechanism role from a system theory perspective to finalize the decision on allocated resources. Simulation results show the merit of the proposed technique and motivate follow on research.

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A Distributed Resource Control for Fairness in OFDMA Systems: English-Auction Game with Imperfect Information

Cited by 20 publications

References 14 publications

An OFDMA resource allocation algorithm based on coalitional games

An OFDMA resource allocation algorithm based on coalitional games

An OFDMA RRM strategy based on QoE maximization and radio resource redistribution

SIRA: A socially inspired game theoretic uplink/downlink resource aware allocation in OFDMA systems

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