The ever-growing demands for data-hungry services make the multicast play an increasingly important role in service delivery. 3GPP has enabled multicast for cellular network, including the adoption of two distinct multicast modes, Multicast/Broadcast Single Frequency Network (MBSFN) and Single Cell Point to Multipoint (SC-PTM). However, the lack of flexible selection between different multicast modes limits the transmission capacity. In order to further increase system throughput, this article focuses on exploiting the complementarity between MBSFN mode and SC-PTM mode, namely selecting the appropriate multicast mode for each cell in the network. This approach benefits from the trade-off between the utilization of user diversity via SC-PTM and the extra SFN gain from MBSFN, which increases the system throughput from a perspective of enhancing configuration flexibility. By constructing the analytical model of the network comprising cells with different multicast modes, we formulate a multicast mode selection problem aiming to maximize system throughput. Then, the formulated mixed-integer nonlinear programming problem is converted to a Difference of Convex (DC) programming, which is solved by the proposed algorithm based on the concave-convex procedure. Considering potential massive scale networks and high selection frequency, alternative mode selection algorithms with lower complexity are also designed.

中文翻译：

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组播服务交付的模式选择算法

对需要大量数据的服务的需求不断增长，使得多播在服务交付中扮演着越来越重要的角色。3GPP已为蜂窝网络启用了多播，包括采用两种不同的多播模式，即多播/广播单频网络（MBSFN）和单蜂窝点对多点（SC-PTM）。但是，在不同的多播模式之间缺乏灵活的选择限制了传输容量。为了进一步提高系统吞吐量，本文重点介绍利用MBSFN模式和SC-PTM模式之间的互补性，即为网络中的每个小区选择适当的多播模式。这种方法得益于通过SC-PTM使用用户多样性与MBSFN带来的额外SFN收益之间的权衡，从增强配置灵活性的角度来看，这增加了系统吞吐量。通过构建包含具有不同组播模式的小区的网络的分析模型，我们制定了旨在最大化系统吞吐量的组播模式选择问题。然后，将拟定的混合整数非线性规划问题转化为凸差分编程（DC），该问题可以通过所提出的基于凹凸过程的算法来解决。考虑到潜在的大规模网络和高选择频率，还设计了具有较低复杂度的替代模式选择算法。将所提出的混合整数非线性规划问题转化为“凸差”（DC）规划，该问题可以通过所提出的基于凹凸过程的算法来解决。考虑到潜在的大规模网络和高选择频率，还设计了具有较低复杂度的替代模式选择算法。将所提出的混合整数非线性规划问题转化为“凸差”（DC）规划，该问题可以通过所提出的基于凹凸过程的算法来解决。考虑到潜在的大规模网络和高选择频率，还设计了具有较低复杂度的替代模式选择算法。