• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

QoE-driven Joint Resource Allocation and User-paring in Virtual MIMO SC-FDMA Systems

Vol. 9, No.10, October 31, 2015
10.3837/tiis.2015.10.004, Download Paper (Free):

Abstract

This paper is concerned with the problem of joint resource allocation and user-pairing in virtual MIMO SC-FDMA systems to improve service quality of experience (QoE). No-reference logarithmic model is introduced to quantify service experience for each user and the objective is to maximize sum of all user。ッs mean of score (MOS). We firstly formulate the optimal problem into an S-dimensional (S-D) assignment problem. Then, to solve this problem, the modified Lagrangian relaxation algorithm is deduced to obtain the suboptimal result of joint user-paring and subchannel allocation. The merits of this solution are as follows. First, the gap between its results and the global optimal one can be quantified and controlled by balancing the complexity and accuracy, which merit the other suboptimal algorithms do not have. Secondly, it has the polynomial computational complexity and the worst case complexity is O(3LN3 ), where L is the maximum iteration time and N is the number of subchannels. Simulations also prove that our proposed algorithm can effectively improve quality of experience and the gap between our proposed and the optimal algorithms can be controlled below 8%.


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Cite this article

[IEEE Style]
YaHui Hu and Song Ci, "QoE-driven Joint Resource Allocation and User-paring in Virtual MIMO SC-FDMA Systems," KSII Transactions on Internet and Information Systems, vol. 9, no. 10, pp. 3831-3850, 2015. DOI: 10.3837/tiis.2015.10.004

[ACM Style]
Hu, Y. and Ci, S. 2015. QoE-driven Joint Resource Allocation and User-paring in Virtual MIMO SC-FDMA Systems. KSII Transactions on Internet and Information Systems, 9, 10, (2015), 3831-3850. DOI: 10.3837/tiis.2015.10.004