TY - GEN
T1 - Nobody Expects a Differential Equation
T2 - 2024 IEEE International Symposium on Information Theory, ISIT 2024
AU - Kosut, Oliver
AU - Effros, Michelle
AU - Langberg, Michael
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Motivated by the design of low-complexity low-power coding solutions for the Gaussian relay channel, this work presents an upper bound on the minimum energy-per-bit achiev-able on the Gaussian relay channel using rank-1 linear relaying. Our study addresses high-dimensional relay codes and presents bounds that outperform prior known bounds using 2-dimensional schemes. A novelty of our analysis ties the optimization problem at hand to the solution of a certain differential equation which, in turn, leads to a low energy-per-bit achievable scheme.
AB - Motivated by the design of low-complexity low-power coding solutions for the Gaussian relay channel, this work presents an upper bound on the minimum energy-per-bit achiev-able on the Gaussian relay channel using rank-1 linear relaying. Our study addresses high-dimensional relay codes and presents bounds that outperform prior known bounds using 2-dimensional schemes. A novelty of our analysis ties the optimization problem at hand to the solution of a certain differential equation which, in turn, leads to a low energy-per-bit achievable scheme.
UR - https://www.scopus.com/pages/publications/85202824917
U2 - 10.1109/ISIT57864.2024.10619129
DO - 10.1109/ISIT57864.2024.10619129
M3 - Conference contribution
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 3332
EP - 3337
BT - 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2024 through 12 July 2024
ER -