共 21 条
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.
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页码:728 / 732
页数:5
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