TY - JOUR
T1 - Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks
AU - Dommel, Johannes
AU - Utkovski, Zoran
AU - Simeone, Osvaldo
AU - Stanczak, Slawomir
N1 - Funding Information:
Manuscript received January 20, 2021; revised March 16, 2021; accepted March 25, 2021. Date of publication April 9, 2021; date of current version April 27, 2021. This work was supported in part by the German Federal Ministry of Education and Research (BMBF) under Grant 16KIS0811 and in part by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program Grant Agreement 725731. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Donatella Darsena. (Corresponding author: Johannes Dommel.) Johannes Dommel and Zoran Utkovski are with the Department of Wireless Communications, and Networks, Fraunhofer Heinrich-Hertz-Institute, Berlin 10587, Germany (e-mail: johannes.dommel@hhi.fraunhofer.de; zoran. utkovski@ugd.edu.mk).
Publisher Copyright:
© 1994-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Approximate message passing
KW - fog-radio access network
KW - random access
KW - semantic communications
KW - type-based multiple access
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U2 - 10.1109/LSP.2021.3072278
DO - 10.1109/LSP.2021.3072278
M3 - Article
AN - SCOPUS:85104177017
VL - 28
SP - 728
EP - 732
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
SN - 1070-9908
M1 - 9399782
ER -