Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks

被引:11
作者
Dommel, Johannes [1 ]
Utkovski, Zoran [1 ]
Simeone, Osvaldo [2 ]
Stanczak, Slawomir [1 ,3 ]
机构
[1] Fraunhofer Heinrich Hertz Inst, Dept Wireless Commun & Networks, D-10587 Berlin, Germany
[2] Kings Coll London, Dept Engn, CTR, Kings Commun Learning & Informat Proc KCLIP Lab, London WC2R 2LS, England
[3] Tech Univ Berlin, Dept Telecommun Syst, D-10623 Berlin, Germany
基金
欧洲研究理事会;
关键词
Encoding; Sensors; Message passing; Decoding; Wireless sensor networks; Wireless communication; Bayes methods; Approximate message passing; fog-radio access network; random access; type-based multiple access; semantic communications;
D O I
10.1109/LSP.2021.3072278
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A fog-radio access network (F-RAN) architecture is studied for an Internet-of-Things (IoT) system in which wireless sensors monitor a number of multi-valued events and transmit in the uplink using grant-free random access to multiple edge nodes (ENs). Each EN is connected to a central processor (CP) via a finite-capacity fronthaul link. In contrast to conventional information-agnostic protocols based on separate source-channel (SSC) coding, where each device uses a separate codebook, this paper considers an information-centric approach based on joint source-channel (JSC) coding via a non-orthogonal generalization of type-based multiple access (TBMA). By leveraging the semantics of the observed signals, all sensors measuring the same event share the same codebook (with non-orthogonal codewords), and all such sensors making the same local estimate of the event transmit the same codeword. The F-RAN architecture directly detects the events' values without first performing individual decoding for each device. Cloud and edge detection schemes based on Bayesian message passing are designed and trade-offs between cloud and edge processing are assessed.
引用
收藏
页码:728 / 732
页数:5
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