Efficient and Fair Resource Allocation Scheme for OFDMA Networks Based on Auction Game

Alavi, Seyed Mohamad; Zhou, Chi; Gen, Wan Wang

doi:10.1109/vtcfall.2012.6399339

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…To solve the winner determination problem given by Equations ( 8) and ( 9), a computationally efficient yet sub-optimal method is applied here for the sub-carrier allocation. The AMS-FFR scheme adopts an approximation mechanism with greedy allocation [30]. To determine the winner bids, received from N users, the BS ranks all the received bids, based on the approximate value per sub-carrier.…”

Section: Winner Determinationmentioning

confidence: 99%

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

et al. 2022

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Modern cellular systems have adopted dense frequency reuse to address the growing amount of mobile data traffic. The system capacity is improved accordingly; however, this is at the cost of augmented Inter-Cell Interference (ICI). Recently, Fractional Frequency Reuse (FFR) has emerged as an efficient ICI management scheme in Orthogonal Frequency-Division Multiple Access (OFDMA)-based cellular systems. However, the FFR scheme that leads to optimized spectrum allocation for individual users in the irregular geometry networks is not considered in the literature. Meanwhile, in the practical wireless scenario, the users are non-cooperative and want to maximize their demands. A game-theoretic Auction Mechanism-based Sectored-FFR (AMS-FFR) scheme is proposed in this paper to optimally distribute the bandwidth resources to the individual users in the realistic multicellular network deployment. In the proposed auction mechanism, the Base Station (BS) acts as an auctioneer and is the owner of sub-carriers. The users are permitted to bid for a bundle of sub-carriers corresponding to their traffic requirements. The Monte Carlo simulation results show that the presented AMS-FFR scheme outperforms the prevailing FFR schemes in terms of achievable throughput by 65% and 46% compared to the basic FFFR and dynamic FFR-3 schemes, respectively. Moreover, the average sum rate along with the user satisfaction is significantly increased while considering a full traffic load.

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Section: Winner Determinationmentioning

confidence: 99%

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

et al. 2022

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“…At each step of the SA algorithm, current solution will be replaced with a new solution given a certain probability. That probability depends on both difference between the current solution and randomly generated neighbor solution and also the temperature value T of the system [24].…”

Section: Solution To (P2) Using Simulated Annealingmentioning

confidence: 99%

Traffic Management in 5G Mobile Networks: Selfish Users and Fair Network

Mahmoodi

Jiang

2016

TNC

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With increasing in heterogeneity of the mobile and wireless networks, including the use of licensed and unlicensed spectrum, and diversity in types of User Equipment (UEs), managing how traffic flows through network while maintaining high level of users' quality of experience is crucial. In this paper, we present a novel traffic management mechanism that maintains the users' quality of experience as well as guaranteeing fairness among users. This traffic management has two separate elements, one that is located at the UE and one that is located at the cloud-based network controller. While each UE maximizes their utility function, which is modelled based on the QoS parameters, selfishly, at the network side, the attempt is to maximize fairness among all users' flows.

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“…Since the seminal works presented by Goodman et al [16] many game theoretic energy-efficient power control and subcarrier allocation schemes have been reported in the literature (e.g. [8][9][10][11][12][13][14]). As stated before, we aim to compare the performance of these schemes; however, it is worthless to make a comparison between all of them because some schemes are not feasible or simply it has been demonstrated that they are outperformed by others.…”

Section: Energy-efficient Resource Allocation Schemesmentioning

confidence: 99%

“…Numerous energy-efficient gametheoretic allocation schemes have been proposed in the open literature (e.g. [8][9][10][11][12][13][14]). Our aim in this paper is to establish a common system model to perform a comparison between some selected of these schemes.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Energy-Efficient Game-Theoretic Resource Allocation Schemes in OFDMA Cellular Networks

Duarte-Reynoso¹,

Lara-Rodriguez²

2014

RCS

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In this paper, we study the performance of energy-efficient resource allocation schemes for multi-cell OFDMA networks based on Game Theory. These schemes have been evaluated in the literature; however, the evaluations have been done under different system models and simulation environments, making a fair comparison unfeasible. Hence, we first develop an appropriate system model for comparison. Then, we analyze the implementation of the selected schemes under constraints introduced by the proposed system model. Finally, throughout extensive numerical simulations on a realistic environment, we evaluate the performance and tradeoffs between energy efficiency, throughput, outage probability and fairness, highlighting the need for some scheme that improves the outage probability and the throughput maintaining high energy efficiency.

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Efficient and Fair Resource Allocation Scheme for OFDMA Networks Based on Auction Game

Cited by 7 publications

References 10 publications

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

Traffic Management in 5G Mobile Networks: Selfish Users and Fair Network

Performance Evaluation of Energy-Efficient Game-Theoretic Resource Allocation Schemes in OFDMA Cellular Networks

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