Joint MCS and power allocation for SVC video multicast over heterogeneous cellular networks
Joint MCS and power allocation for SVC video multicast over heterogeneous cellular networks
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DOI：
10.1016/j.comcom.2016.03.018
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
Jietong Liu;Zhongming Bao;Chenxiang Zhang;Qiyue Li;Zhi Liu
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文献类型：
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作者：
Jietong Liu;Zhongming Bao;Chenxiang Zhang;Qiyue Li;Zhi Liu
可伸缩视频编码（SVC）和自适应调制编码（AMC）是宽带无线网络中视频多播的关键技术，通过对视频流进行分层编码，并为每一层分配合适的调制编码方案，可以提高用户接收到的视频质量。随着移动的通信的发展，4 G LTE和3 G等多种类型的蜂窝网络在同一地点共存。本文将这种网络称为异构蜂窝网络。给定一个ISP通常在相同的地方拥有不同类型的基站（BS），并且不同的BS可能具有不同的业务负载和传输能力，异构BS之间的协作传输变得可能，例如，如果4G LTE BS具有额外的带宽并且设备具有相应的网络接口，则4G LTE BS可以帮助卸载3G BS。据作者所知，如何安排这种合作还没有解决任何正式的方式在文献中。本文提出了一个联合MCS和功率分配问题，在多基站异构蜂窝网络的SVC视频组播的目标是最大限度地提高定义的系统效用。这个问题是NP难的，为了解决这个问题，我们首先将这个问题分解为两个子问题。我们提出了一个动态规划算法来优化问题，而不优化功率分配。针对异构蜂窝网络中的功率和MCS联合分配问题，提出了一种多基联合动态规划贪婪算法（MDPGA）。仿真结果表明，我们的算法可以明显优于其他竞争方案。
Scalable video coding (SVC) and adaptive modulation and coding (AMC) are key issues for video multicast in broadband wireless networks, which could improve users’ received video quality by encoding the video stream into different layers and assigning appropriate modulation and coding schemes (MCSs) to each layer. With the development of mobile communication, various types of cellular networks such as 4 G LTE and 3 G co-exist at the same place. This type of network is named heterogeneous cellular networks in this paper. Given one ISP usually owns different types of base stations (BSs) at the same place and different BSs may have different traffic loads and transmission capabilities, cooperative transmission among the heterogeneous BSs becomes possible, e.g. a 4 G LTE BS could help offload a 3 G BS if the 4 G LTE BS has extra bandwidth and the devices have the corresponding network interface. As far as the authors understand, how to schedule this cooperation has not been solved in any formal way in literature. This paper presents a joint MCS and power allocation problem in multi-base-station heterogeneous cellular networks for SVC video multicast with the objective to maximize the defined system utility. This problem is NP-hard and in order to solve this, we first decompose this problem into two sub-problems. We present a dynamic programming algorithm to optimize the problem without optimizing the power allocation. Then we take power allocation for each sub-channel into account and propose a multi-base joint dynamic programming and greedy algorithm (MDPGA) algorithm for this joint power and MCS allocation problem in heterogeneous cellular networks. Simulation results show that our algorithms can outperform other competing schemes significantly.