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Scalable video multicast with joint resource allocation and Adaptive Modulation and Coding over multiple base station networks

机译:在多个基站网络上具有联合资源分配和自适应调制与编码的可扩展视频多播

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Video multicast exploits the wireless broadcast nature to transmit a video stream to multiple clients with a minimum bandwidth requirement. Scalable video coding (AMC) and Adaptive Modulation and Coding (AMC) are two key techniques for video multicast in broadband wireless networks. They improve the system utility value by dividing the video steam into different layers and assigning appropriate modulation and coding schemes (MCS) to each layer. With the development of mobile communication, all kinds of multiple access interference technology have been studied profound which make the multi-base station cooperative transmission possible. This paper presents a joint Slot-allocation and MCS-selection scheme in multi-base station system model. We first formulate the problem as maximizing the total system utility, where the utility of each user is a generic non-negative, non-decreasing function of received rate, which can be proven to be a NP-hard optimization problem. Then an intra-session MCS assignment method based on greedy algorithm is proposed, which can be also applied to muti-session scenarios. Simulation results show that our algorithm keeps good performance compared with the optimal result, and outperforms other competing schemes of single-base station system.
机译:视频多播利用无线广播性质以最小的带宽要求将视频流传输到多个客户端。可伸缩视频编码(AMC)和自适应调制与编码(AMC)是宽带无线网络中视频多播的两项关键技术。他们通过将视频流划分为不同的层并为每个层分配适当的调制和编码方案(MCS),提高了系统实用价值。随着移动通信的发展,对各种多址干扰技术的研究日益深入,使多基站协同传输成为可能。本文提出了一种多基站系统模型中的联合时隙分配和MCS选择方案。我们首先将问题表述为使整个系统的效用最大化,其中每个用户的效用是接收速率的通用非负,非递减函数,这可以证明是一个NP-hard优化问题。提出了一种基于贪婪算法的会话内MCS分配方法,该方法也可以应用于多会话场景。仿真结果表明,该算法与最优算法相比,具有较好的性能,并且优于其他单基站系统竞争方案。

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