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首页> 外文期刊>IEEE Transactions on Broadcasting >Large-Scale Network Analysis on NOMA-Aided Broadcast/Unicast Joint Transmission Scenarios Considering Content Popularity
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Large-Scale Network Analysis on NOMA-Aided Broadcast/Unicast Joint Transmission Scenarios Considering Content Popularity

机译：考虑内容人气的诺马辅助广播/单播联合传输方案的大规模网络分析

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摘要

This paper analyzes reliability and quality gains that can be achieved by a broadcast-unicast convergent platform operating in non-orthogonal multiple access (NOMA)-based cellular networks. The analysis is addressed in network scope, dealing with randomly distributed users and base stations (BSs) within a stochastic geometry framework. Additionally a well-known Zipf-distribution popularity model on user demands is also taken into account, which effectively reflects a broadcasting gain from reducing redundant resource expense toward the users demanding same contents. Based on the stochastic modeling, closed-form delivery success probabilities and the consequent transmission rates are analytically derived, where the derivations are obtained separately for the networks with different access control strategies. Furthermore, the optimal broadcast content selection strategy maximizing the transmission rates is proposed. By means of numerical calculations, NOMA is shown to achieve substantial gain at broadcast/unicast joint transmission compared to the conventional orthogonal multiple access (OMA) network, particularly for the service configuration with popular contents having lower target service rates than less popular contents as long as the number of broadcast programs is restricted to be equal to the number of unicast services in a single frame.
机译：本文分析了通过在非正交多址（NOMA）的蜂窝网络中操作的广播 - 单播收敛平台可以实现的可靠性和质量增益。该分析在网络范围内解决，处理随机地几何框架内随机分布的用户和基站（BSS）。另外，还考虑了用户需求的众所周知的ZiPF分布普及模型，这有效地反映了从对要求相同内容的用户降低冗余资源费用的广播增益。基于随机建模，分析闭合形式的输送成功概率和随后的传输速率，其中衍生地获得具有不同访问控制策略的网络。此外，提出了最大化传输速率的最佳广播内容选择策略。通过数值计算，与传统的正交多次访问（OMA）网络相比，NOMA在广播/单播联合传输中实现了大量增益，特别是对于具有较低目标服务率的流行内容而不是较少的流行内容，因此具有比较不太流行的内容由于广播节目​​的数量仅限于单个帧中的单播服务的数量。

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