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首页> 外文期刊>Quality Control, Transactions >QoE-Based Distributed Multichannel Allocation in 5G Heterogeneous Cellular Networks: A Matching-Coalitional Game Solution
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QoE-Based Distributed Multichannel Allocation in 5G Heterogeneous Cellular Networks: A Matching-Coalitional Game Solution

机译：5G异构蜂窝网络中基于QoE的分布式多通道分配：一种匹配关联博弈解决方案

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摘要

We investigate the problem of multichannel allocation for small-cell users (SUs) in 5G heterogeneous cellular networks by taking users’ quality of experience (QoE) into account. In most existing channel allocation approaches, they are assumed that each user can only transmit on one channel, and the optimization goal is the network throughput without considering users’ QoE demands. Moreover, the individual QoE losses of macro-cell users (MUs), which are caused by the cross-tiered interference, are not considered. In this paper, considering SUs’ QoE demands and the individual QoE losses of MUs, we propose a joint matching-coalitional game theoretical scheme to solve such a QoE-based multichannel allocation problem with individual cross-tiered interference constraint in each channel. Concretely, according to the different interference and competition relationships among users, we divide the complicated problem into two subproblems, i.e., Q1 : intra-cell channel allocation for SUs, and Q2 : inter-cell channel allocation for small-cell base stations. We formulate the intra-cell channel allocation as a many-to-one selfish matching game and formulate the inter-cell channel allocation subproblem as an altruistical coalitional game separately. Then, the complicated problem can be solved based on the two proposed games iteratively. We propose a joint channel allocation algorithm for the matching-coalitional game theoretical scheme. We prove that the proposed algorithm converges to a stable channel allocation profile. Simulation results show that the proposed algorithm achieves higher global SUs’ satisfaction than the smallest interference channel selection and random allocation.
机译：我们通过考虑用户的体验质量（QoE），调查5G异构蜂窝网络中为小蜂窝用户（SU）分配多信道的问题。在大多数现有的信道分配方法中，假定每个用户只能在一个信道上进行传输，并且优化目标是网络吞吐量，而无需考虑用户的QoE需求。此外，不考虑由跨层干扰引起的宏小区用户（MU）的各个QoE丢失。在本文中，考虑到SU的QoE需求和MU的单个QoE损失，我们提出了一种联合匹配-联盟博弈的理论方案，以解决这种基于QoE的多信道分配问题，每个信道具有单独的跨层干扰约束。具体地，根据用户之间的干扰和竞争关系的不同，我们将复杂的问题分为两个子问题，即，Q1：SU的小区内信道分配，以及Q2：小小区基站的小区间信道分配。我们将小区间内的信道分配表述为多对一的自私匹配博弈，并将小区间内的信道分配子问题表述为无私的联合博弈。然后，可以基于两个提出的游戏迭代地解决复杂的问题。我们提出了一种针对匹配匹配博弈理论的联合信道分配算法。我们证明了所提出的算法收敛于稳定的信道分配配置文件。仿真结果表明，与最小的干扰信道选择和随机分配相比，该算法具有更高的全局SU满意度。

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