Abstract
The rapid increasing demands of multi-media applications have busted the improvement of video transmission. By the increase of multimedia transmission, quality of experience (QoE) has become the hot topic of the wireless networks’ research. This paper proposes a QoE-aware resource allocation algorithm in MIMO-OFDM Networks. The power allocation estimation is formulated to maximize according to QoE by considering the video transmission rate and the subcarrier schemes under the constraint of minimum power. In this paper, we will analyses the the performance of video transmission from transmission rate at the application layer to the power allocation at the physical layer. From simulation results, we can see that the proposed subcarrier allocation algorithm maximizes the video QoE by minimizing the sum distortion of multi-users in MIMO networks with power constraints.
Highlights
The rapid increasing demands of multi-media applications have busted the improvement of video transmission [1]
The (14) has low computational complexity scheme for optimal video transmission for both unicast and multicast surrounding. This proposed joint power and subcarrier allocation algorithm in Multiple Input and Multiple Output (MIMO) OFDM systems enables us both to overcome the challenge of full CSI
In this paper, aiming to improve the quality of multimedia transmission while satisfying the quality of experience (QoE) requirements, we propose an optimal subcarrier allocation by jointly considering the video coding rate and the available power resource
Summary
The rapid increasing demands of multi-media applications have busted the improvement of video transmission [1]. Wang et al 284 order to optimize the resource allocation during media video transmissions in LET, it is necessary to propose an improved resource allocation driven by QoE parameter [5]. Many researchers have been proposed some scheme for videos transitions over LET systems, which both PHY layer and APP layer parameter are considered to improve QoE of users [10] [11]. In [11], an optimal subcarrier allocation for minimizing RD over MassiveMIMO systems is proposed, where video quality and channel capacity are considered. With the goal of QoE optimizing the overall system video performance, the PHY layer communication resources are allocated to the video users according to the demand of the multi-users.
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