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Transformers for Green Semantic Communication: Less Energy, More Semantics
Feb. 20, 2024, 5:44 a.m. | Shubhabrata MukherjeeSchool of Science,Engineering, University of Missouri-Kansas City, Kansas City, MO, USA, Cory BeardSchool of Science,Engineering,
cs.LG updates on arXiv.org arxiv.org
Abstract: Semantic communication aims to transmit meaningful and effective information, rather than focusing on individual symbols or bits. This results in benefits like reduced latency, bandwidth usage, and higher throughput compared with traditional communication. However, semantic communication poses significant challenges due to the need for universal metrics to benchmark the joint effects of semantic information loss and practical energy consumption. This research presents a novel multi-objective loss function named "Energy-Optimized Semantic Loss" (EOSL), addressing the challenge …
abstract arxiv bandwidth benefits challenges communication cs.lg cs.ni energy green information latency metrics semantic semantics transformers type usage
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