TY - GEN
T1 - Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels
AU - Barletta, Luca
AU - Dytso, Alex
AU - Shamai, Shlomo
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This work considers a discrete-time Poisson noise channel with an input amplitude constraint A and a dark current parameter λ. It is known that the capacity-achieving distribution for this channel is discrete with finitely many points. Recently, for λ = 0, a lower bound of order √A and an upper bound of order Alog2(A) have been demonstrated on the cardinality of the support of the optimal input distribution. In this work, we improve these results in several ways. First, we provide upper and lower bounds that hold for non-zero dark current. Second, we produce a sharper upper bound with a far simpler technique. In particular, for λ = 0, we sharpen the upper bound from the order of Alog2(A) to the order of A. Finally, some other additional information about the location of the support is provided.
AB - This work considers a discrete-time Poisson noise channel with an input amplitude constraint A and a dark current parameter λ. It is known that the capacity-achieving distribution for this channel is discrete with finitely many points. Recently, for λ = 0, a lower bound of order √A and an upper bound of order Alog2(A) have been demonstrated on the cardinality of the support of the optimal input distribution. In this work, we improve these results in several ways. First, we provide upper and lower bounds that hold for non-zero dark current. Second, we produce a sharper upper bound with a far simpler technique. In particular, for λ = 0, we sharpen the upper bound from the order of Alog2(A) to the order of A. Finally, some other additional information about the location of the support is provided.
UR - http://www.scopus.com/inward/record.url?scp=85202874004&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ISIT57864.2024.10619622
DO - https://doi.org/10.1109/ISIT57864.2024.10619622
M3 - منشور من مؤتمر
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 3630
EP - 3635
BT - 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings
T2 - 2024 IEEE International Symposium on Information Theory, ISIT 2024
Y2 - 7 July 2024 through 12 July 2024
ER -