Suárez-Casal, PedroFresnedo, ÓscarCastedo, LuisGarcia-Frias, Javier2024-02-192024-02-192017-11P. Suárez-Casal, Ó. Fresnedo, L. Castedo and J. García-Frías, "Analog Transmission of Correlated Sources Over BC With Distortion Balancing," in IEEE Transactions on Communications, vol. 65, no. 11, pp. 4871-4885, Nov. 2017, doi: 10.1109/TCOMM.2017.27260650090-67781558-0857http://hdl.handle.net/2183/35670© 2017 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/TCOMM.2017.2726065.[Abstract]: Analog transmission of correlated information over Gaussian broadcast channels (BCs) using analog joint source- channel coding (JSCC) is addressed. This communication strategy has attractive advantages, such as low complexity, minimal delay, graceful degradation, and adaptation to time-varying environments. In this paper, we focus on the optimization of parametric continuous mappings that satisfy individual quality of service requirements over Gaussian BCs. This optimization is based on the balancing of the user distortions to ensure the feasibility of the resulting optimization problems. An analysis of the overall distortion corresponding to the considered mappings is carried out to design algorithms that determine the optimal values for the mappings parameters. Results show that the proposed analog JSCC scheme provides near optimal performance and an adequate balancing of the individual distortions.engTodos os dereitos reservados. All rights reserved.Multiuser channelsBroadcast channelsCorrelationMean square error methodsjournal articleopen access10.1109/TCOMM.2017.2726065