TY - GEN
T1 - On the capacity for distributed index coding
AU - Liu, Yucheng
AU - Sadeghi, Parastoo
AU - Arbabjolfaei, Fatemeh
AU - Kim, Young Han
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - The distributed index coding problem is studied, whereby multiple messages are stored at different servers to be broadcast to receivers with side information. First, the existing composite coding scheme is enhanced for the centralized (single-server) index coding problem, which is then merged with fractional partitioning of servers to yield a new coding scheme for distributed index coding. New outer bounds on the capacity region are also established. For all distributed index coding problems with n ≤ 4 messages and equal server link capacities, the achievable sum-rate of the proposed distributed composite coding scheme match the outer bounds, thus establishing the sum-capacity for these problems.
AB - The distributed index coding problem is studied, whereby multiple messages are stored at different servers to be broadcast to receivers with side information. First, the existing composite coding scheme is enhanced for the centralized (single-server) index coding problem, which is then merged with fractional partitioning of servers to yield a new coding scheme for distributed index coding. New outer bounds on the capacity region are also established. For all distributed index coding problems with n ≤ 4 messages and equal server link capacities, the achievable sum-rate of the proposed distributed composite coding scheme match the outer bounds, thus establishing the sum-capacity for these problems.
UR - http://www.scopus.com/inward/record.url?scp=85034102322&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2017.8007091
DO - 10.1109/ISIT.2017.8007091
M3 - Conference contribution
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 3055
EP - 3059
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
Y2 - 25 June 2017 through 30 June 2017
ER -