Abstract
The recent increase in the use of wireless networks for video transmission has led to the increase in the use of rate-adaptive protocols to maximize the resource utilization and increase the efficiency in the transmission. However, a number of these protocols lead to interactions among the users that are subjective in nature and affect the overall performance. In this paper, we present an in-depth analysis of interplay between the wireless network dynamics and video transmission dynamics in the light of subjective perceptions of the end users in their interactions. We investigate video exchange applications in which two users interact repeatedly over a wireless relay channel. Each user is driven by three conflicting objectives: maximizing the Quality of Service (QoS) and Quality of Experience (QoE) of the received video, while minimizing the transmission cost. Non-cooperative repeated games model precisely interactions among users with independent agendas. We show that adaptive video exchange is impossible if the duration of the interaction is determined. However, if the users interact indefinitely, they achieve cooperation via exchange of video streams. Our simulations evidence the tradeoff between users’ QoS and QoE of their received video. The expected duration of the interaction plays a role and draws the region of solution trade-offs. We propose further means of shaping this region using Pareto optimality and user-fairness arguments. This work proposes a concrete game theoretical framework that allows the optimal use of traditional protocols by taking into account the subjective interactions that occur in practical scenarios.
Highlights
The past decade has seen an enormous growth in users of wireless networks
We show the application of the game theoretical framework to the analysis of the concrete problem of QUALITY of Experience (QoE)-driven rate adaptation over underlying Markovian channel dynamics taking into account subjective factors
5 Conclusions It is clear that the rapid increase in the multimedia transmission over wireless networks imposes the evolution of existing transmission protocol
Summary
The past decade has seen an enormous growth in users of wireless networks. With the increasing variety of video applications via wireless channels, it is imperative that this number will grow. We show the application of the game theoretical framework to the analysis of the concrete problem of QoE-driven rate adaptation over underlying Markovian channel dynamics taking into account subjective factors. This trade-off arises due to conflicting paradigms that are desired by the users: increase in the quality of the video, or QoS, received leading to higher rate of adaptation to channel conditions and increase in quality of video playback, or QoE that is inversely affected by faster rate adaptation due to higher probabilities of exceeding channel capacity This trade-off captures the three-fold impact of dynamics among the network resources, video transmission and subjective interactions, all three of which are modeled in our framework. The rate of transmission of video payload is adapted to the network conditions by optimization of the QoE perceived at the end user. We describe the performance metrics which will be used in this work
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