5G室内密集立体覆盖的计算通信：架构、方法与增益

doi:10.11959/j.issn.1000-0801.2017118

Abstract

Abstract:

An integrated mobile computational communication architecture for three-dimensional dense coverage in indoor environment was proposed,and the proposed network architecture thus unified the computational electromagnetics,computational information theory and large-scale optimization into computational communication theory.Moreover,the implementation of the architecture was introduced.Specifically,the dense heterogeneous distributed radio access network was served as the wireless radio access network for the proposed computational communication architecture.Furthermore,computational electromagnetics based on channel propagation computing was implemented in parallel using the distributed computation resources.Given the exact channel propagation coefficients,the computational information theory based on channel capacity computation,as well as large-scale optimization based on multiuser network resource allocation were also achieved by the powerful computation resources.The proposed computational communication theory can thus compute the channel capacity and design power allocation scheme directly from propagation environment.

Key words: computational communication, large-scale optimization, cloud radio access network, fog radio access network, cloud computing, fog computing

CLC Number:

TP393

Jinkun CHENG,Wei CHEN,Yuanming SHI. Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain[J]. Telecommunications Science, 2017, 33(6): 41-53.

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References 33

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