Energy Efficient Power Allocation for Distributed MIMO System ()
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.
Share and Cite:
Wang, Q. , Yin, Y. and Nie, X. (2017) Energy Efficient Power Allocation for Distributed MIMO System.
International Journal of Communications, Network and System Sciences,
10, 283-291. doi:
10.4236/ijcns.2017.105B028.
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