TY - GEN
T1 - The Capacity of the Optical Broadcast Channel with Peak and Average Intensity Constraints
AU - Soltani, Morteza
AU - Rezki, Zouheir
N1 - KAUST Repository Item: Exported on 2022-06-30
Acknowledged KAUST grant number(s): OSR-2016-CRG5-2958-01
Acknowledgements: This work has been supported by King Abdullah University of Science and Technology (KAUST) under grant no. OSR-2016-CRG5-2958-01
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2018/8/16
Y1 - 2018/8/16
N2 - This paper addresses a two-user intensity-modulation direct-detection discrete memoryless free space optical broadcast channel (DM-FSOBC) with nonnegativity, peak and average intensity constraints at the transmitter. It is shown that superposition coding along with generating the codebooks of both users according to discrete distributions with a finite number of mass points, achieve the capacity region of the DM-FSOBC. Although the capacity-achieving distributions are not necessarily unique, it is established that only discrete distributions with a finite number of mass points can achieve the points on the boundary of the capacity region.
AB - This paper addresses a two-user intensity-modulation direct-detection discrete memoryless free space optical broadcast channel (DM-FSOBC) with nonnegativity, peak and average intensity constraints at the transmitter. It is shown that superposition coding along with generating the codebooks of both users according to discrete distributions with a finite number of mass points, achieve the capacity region of the DM-FSOBC. Although the capacity-achieving distributions are not necessarily unique, it is established that only discrete distributions with a finite number of mass points can achieve the points on the boundary of the capacity region.
UR - http://hdl.handle.net/10754/679444
UR - https://ieeexplore.ieee.org/document/8437558/
UR - http://www.scopus.com/inward/record.url?scp=85052460197&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2018.8437558
DO - 10.1109/ISIT.2018.8437558
M3 - Conference contribution
SN - 9781538647806
SP - 916
EP - 920
BT - 2018 IEEE International Symposium on Information Theory (ISIT)
PB - IEEE
ER -