A Lossless Compression Technique for the Downlink Control Information Message

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Publicado en:arXiv.org (Jul 23, 2024), p. n/a
Autor principal: Liu, Bryan
Otros Autores: Valcarce, Alvaro, K Pavan Srinath
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Cornell University Library, arXiv.org
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Acceso en línea:Citation/Abstract
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022 |a 2331-8422 
035 |a 3084092980 
045 0 |b d20240723 
100 1 |a Liu, Bryan 
245 1 |a A Lossless Compression Technique for the Downlink Control Information Message 
260 |b Cornell University Library, arXiv.org  |c Jul 23, 2024 
513 |a Working Paper 
520 3 |a Improving the reliability and spectral efficiency of wireless systems is a key goal in wireless systems. However, most efforts have been devoted to improving data channel capacity, whereas control-plane capacity bottlenecks are often neglected. In this paper, we propose a means of improving the control-plane capacity and reliability by shrinking the bit size of a key signaling message - the 5G Downlink Control Information (DCI). In particular, a transformer model is studied as a probability distribution estimator for Arithmetic coding to achieve lossless compression. Feature engineering, neural model design, and training technique are comprehensively discussed in this paper. Both temporal and spatial correlations among DCI messages are explored by the transformer model to achieve reasonable lossless compression performance. Numerical results show that the proposed method achieves 21.7% higher compression ratio than Huffman coding in DCI compression for a single-cell scheduling scenario. 
653 |a Channel capacity 
653 |a Huffman codes 
653 |a Arithmetic coding 
653 |a Control systems 
653 |a System reliability 
653 |a Messages 
653 |a Downlinking 
653 |a Compression ratio 
653 |a Transformers 
700 1 |a Valcarce, Alvaro 
700 1 |a K Pavan Srinath 
773 0 |t arXiv.org  |g (Jul 23, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3084092980/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2407.16319