Multi-source spinal coding for coded caching multicast transmissions in wireless networks
Multi-source spinal coding for coded caching multicast transmissions in wireless networks
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DOI：
10.23919/jcc.2021.03.008
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发表时间：
2021-03
影响因子：
4.1
通讯作者：
Aimin Tang;Xudong Wang
中科院分区：
文献类型：
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作者：
Aimin Tang;Xudong Wang
最近，编码缓存被认为是一种很有前途的减轻无线网络流量负担的技术。为了支持高效的编码缓存组播传输，需要考虑时变异构信道条件。本文提出了一种实用的多源脊编码（MSSC）方案，用于异构信道条件下的编码缓存组播传输。通过探索网络编码与脊髓编码（SC）的联合设计，MSSC可以在不同用户的组播传输中实现不等链路速率。此外，通过在我们的设计中利用SC的无速率特性，MSSC可以很好地适应多播传输中所有用户的链路速率，而不需要任何时变信道条件的反馈。本文还提出了一种基于最大似然（ML）的MSSC解码方法，该方法可以在组播传输中实现相对于用户数量的线性复杂度。仿真结果验证了MSSC方案的有效性。与现有方案相比，MSSC在组播传输中的总和速率提高了约20%。当在编码缓存系统中应用MSSC时，对于时变信道，总传输时间最多可减少48%。
Recently, coded caching has been treated as a promising technique to alleviate the traffic burden in wireless networks. To support high efficient coded caching multicast transmissions, the time-varying heterogeneous channel conditions need to be considered. In this paper, a practical and novel multi-source spinal coding (MSSC) scheme is developed for coded caching multicast transmissions under heterogeneous channel conditions. By exploring joint design of network coding and spinal coding (SC), MSSC can achieve unequal link rates in multicast transmissions for different users. Moreover, by leveraging the rate-less feature of SC in our design, MSSC can well adapt the link rates of all users in multicast transmissions without any feedback of time-varying channel conditions. A maximum likelihood (ML) based decoding process for MSSC is also developed, which can achieve a linear complexity with respect to the user number in the multicast transmission. Simulation results validate the effectiveness of the MSSC scheme. Compared to the existing scheme, the sum rate of MSSC in multicast transmissions is improved by about 20%. When applying MSSC in coded caching systems, the total transmission time can be reduced by up to 48% for time-varying channels.