A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications

Fu, Fang; Stoenescu, T.M.; Schaar, Mihaela van der

doi:10.1109/jstsp.2007.901519

Cited by 25 publications

(26 citation statements)

References 28 publications

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“…We first summarize the CBPM approach [5], which is a game-theoretic mechanism for resource allocation in wireless multimedia. In CBPM, given rate allocation α i and price τ i , the price of bandwidth usages is introduced into the utility of user i as follows:…”

Section: Related Workmentioning

confidence: 99%

“…In fact, there can exist strategic users who would try to manipulate the resource allocation by misrepresenting their requirements to increase their own benefits. In such cases, the performance of the entire wireless network will be degraded considerably because of the strategic behaviors [5].…”

Section: Introductionmentioning

confidence: 99%

“…In [5], a communication based pricing mechanism (CBPM) was proposed to tackle the problems of informationally decentralized nature and strategic users. In CBPM, the Central Spectrum Moderator (CSM) continuously exchanges the messages about the pricing and the system resource usages with each user until that every user agrees to the final resource allocation/pricing which no user wants to change.…”

Section: Introductionmentioning

confidence: 99%

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A game-theoretical pricing mechanism for multiuser rate allocation for video over WiMAX

Chen

Lin

et al. 2010

SPIE Proceedings

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In multiuser rate allocation in a wireless network, strategic users can bias the rate allocation by misrepresenting their bandwidth demands to a base station, leading to an unfair allocation. Game-theoretical approaches have been proposed to address the unfair allocation problems caused by the strategic users. However, existing approaches rely on a timeconsuming iterative negotiation process. Besides, they cannot completely prevent unfair allocations caused by inconsistent strategic behaviors. To address these problems, we propose a Search Based Pricing Mechanism to reduce the communication time and to capture a user's strategic behavior. Our simulation results show that the proposed method significantly reduce the communication time as well as converges stably to an optimal allocation.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A game-theoretical pricing mechanism for multiuser rate allocation for video over WiMAX

Chen

Lin

et al. 2010

SPIE Proceedings

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“…Finally, for network-aware multiuser resource allocation with fairness considerations, we refer the reader to the recently developed game theoretic approach in [18] which utilizes a pricing mechanism for message exchanges between users that reach Nash equilibrium generating budget balanced allocations that satisfy voluntary participation.…”

Section: Literature Reviewmentioning

confidence: 99%

Channel Aware Multiuser Scalable Video Streaming Over Lossy Under-Provisioned Channels: Modeling and Analysis

Mansour

Krishnamurthy

Nasiopoulos

2008

IEEE Trans. Multimedia

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Abstract-In this paper, we analyze the performance of mediaaware multi-user video streaming strategies in capacity limited wireless channels suffering from latency problems and packet losses. Wireless video streaming applications are characterized by their bandwidth-intensity, delay-sensitivity, and loss-tolerance. Our main contributions include: (i) a rate-minimized unequal erasure protection (UXP) scheme, (ii) an analytical expression for packet delay and play-out deadline of UXP protected scalable video, (iii) a loss-distortion model for hierarchical predictive video coders with picture copy concealment, (iv) an analysis of the performance and complexity of delay-aware, capacity-aware, and optimized UXP streaming scenarios, (v) we show that the use of unequal error protection causes a rate-constrained optimization problem to be non-convex.Performance evaluations using a 3GPP network simulator show that, for different channel capacities and packet loss rates, delay-aware non-stationary rate-allocation streaming policies deliver significant gains which range between 1.65dB to 2dB in average Y-PSNR of the received video streams over delay-unaware strategies. These gains come at a cost of increased off-line computation which is performed prior to the start of the streaming session or in batches during transmission and therefore, do not affect the run-time performance of the streaming system. EDICS Category: 5-STRMIndex Terms-Wireless video streaming, scalable video coding (SVC), unequal erasure protection (UXP), loss-distortion modeling, streaming delay analysis.

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“…Specifically, for multimedia communications, a few articles have also considered the framework of game theory to address different problems of resource allocation. The maximization of the sum of users' expected video quality is considered in [4] using a pricing-based resource allocation mechanism which, however, doesn't guarantee convergence. Maximizing the system utility has also been analyzed for a cooperative environment within the framework of bargaining in [5], but this solution cannot be applied in the case of individual selfish users who are competing for some expensive resources.…”

Section: Introductionmentioning

confidence: 99%

A Quality-of-Experience driven bidding game for uplink video transmission in next generation mobile networks

Schroeder

Essaili

Steinbach

et al. 2012

2012 19th IEEE International Conference on Image Processing

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Centralized approaches to solve resource allocation problems for wireless real-time multimedia communications have been intensively studied but require the availability of meta information about the multimedia content and channel information of all users. In this paper, we propose a Quality of Experience (QoE) driven bidding game for de-centralized uplink resource allocation among multiple mobile video producers. Different from previous works, the price per resource unit is defined on a Mean Opinion Score (MOS) scale and users bid for the resources that maximize their own utility function. Simulations in an LTE environment show the benefits of our distributed approach in terms of convergence time and QoE performance, compared to a centralized greedy scheme and a state-of-theart game-theoretic approach.

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A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications

Cited by 25 publications

References 28 publications

A game-theoretical pricing mechanism for multiuser rate allocation for video over WiMAX

A game-theoretical pricing mechanism for multiuser rate allocation for video over WiMAX

Channel Aware Multiuser Scalable Video Streaming Over Lossy Under-Provisioned Channels: Modeling and Analysis

A Quality-of-Experience driven bidding game for uplink video transmission in next generation mobile networks

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