SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers

Zapisane w:
Opis bibliograficzny
Wydane w:arXiv.org (Jun 27, 2024), p. n/a
1. autor: Razavikia, Saeed
Kolejni autorzy: José Mairton Barros Da Silva Júnior, Fischione, Carlo
Wydane:
Cornell University Library, arXiv.org
Hasła przedmiotowe:
Dostęp online:Citation/Abstract
Full text outside of ProQuest
Etykiety: Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!

MARC

LEADER 00000nab a2200000uu 4500
001 2884926198
003 UK-CbPIL
022 |a 2331-8422 
035 |a 2884926198 
045 0 |b d20240627 
100 1 |a Razavikia, Saeed 
245 1 |a SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers 
260 |b Cornell University Library, arXiv.org  |c Jun 27, 2024 
513 |a Working Paper 
520 3 |a Communication and computation are traditionally treated as separate entities, allowing for individual optimizations. However, many applications focus on local information's functionality rather than the information itself. For such cases, harnessing interference for computation in a multiple access channel through digital over-the-air computation can notably increase the computation, as established by the ChannelComp method. However, the coding scheme originally proposed in ChannelComp may suffer from high computational complexity because it is general and is not optimized for specific modulation categories. Therefore, this study considers a specific category of digital modulations for over-the-air computations, QAM and PAM, for which we introduce a novel coding scheme called SumComp. Furthermore, we derive an MSE analysis for SumComp coding in the computation of the arithmetic mean function and establish an upper bound on the MAE for a set of nomographic functions. Simulation results affirm the superior performance of SumComp coding compared to traditional analog over-the-air computation and the original coding in ChannelComp approaches regarding both MSE and MAE over a noisy multiple access channel. Specifically, SumComp coding shows approximately \(10\) dB improvements for computing arithmetic and geometric mean on the normalized MSE for low noise scenarios. 
653 |a Computation 
653 |a Low noise 
653 |a Upper bounds 
653 |a Arithmetic 
653 |a Multiple access 
653 |a Coding 
700 1 |a José Mairton Barros Da Silva Júnior 
700 1 |a Fischione, Carlo 
773 0 |t arXiv.org  |g (Jun 27, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2884926198/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2310.20504