QoE-driven Joint Resource Allocation and User-paring in Virtual MIMO SC-FDMA Systems
QoE-driven Joint Resource Allocation and User-paring in Virtual MIMO SC-FDMA Systems
复制标题
虚拟 MIMO SC-FDMA 系统中 QoE 驱动的联合资源分配和用户配对
DOI：
10.3837/tiis.2015.10.004
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发表时间：
2015-10
影响因子：
1.5
通讯作者：
慈松
中科院分区：
文献类型：
--
作者：
胡亚辉;慈松
本文研究了虚拟MIMO SC-FDMA系统中的联合资源分配和用户配对问题，以提高服务体验质量。引入无参考对数模型来量化每个用户的服务体验，目标是最大化所有用户的平均得分(MOS)之和。我们首先将最优问题转化为S维(S-D)指派问题。然后，针对这一问题，推导了改进的拉格朗日松弛算法，得到了联合用户配对和子信道分配的次优解。这种解决方案的优点如下。首先，它的结果与全局最优结果之间的差距可以通过平衡复杂性和精度来量化和控制，这是其他次优算法所不具备的优点。其次，该算法具有多项式的计算复杂度，最坏情况的复杂度为O(3LN³)，其中L是最大迭代时间，N是子信道的个数。仿真结果表明，该算法能有效提高用户体验质量，与最优算法之间的差距可控制在8%以内。
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’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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影响因子：
10.4
作者：
O. Oteri;I. Wong;W. McCoy
通讯作者：
O. Oteri;I. Wong;W. McCoy
DOI：
10.1109/icc.2014.6883462
发表时间：
2014-06
期刊：
2014 IEEE International Conference on Communications (ICC)
影响因子：
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作者：
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通讯作者：
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影响因子：
8.3
作者：
Rugelj, Miha;Sedlar, Urban;Kos, Andrej
通讯作者：
Kos, Andrej
影响因子：
6.8
作者：
PATTIPATI, KR;DEB, S;WASHBURN, RB
通讯作者：
WASHBURN, RB
DOI：
10.1109/glocomw.2012.6477768
发表时间：
2012-12
期刊：
2012 IEEE Globecom Workshops
影响因子：
--
作者：
Bingquan Li;S. Li;C. Xing;Zesong Fei;Jingming Kuang
通讯作者：
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