TY - GEN
T1 - AoI Minimization in Broadcast Channels with Channel State Information
AU - Feng, Songtao
AU - Yang, Jing
N1 - Funding Information:
This work was supported in part by the National Science Foundation (NSF) under Grant ECCS-1650299.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In this paper, we consider a status updating system where updates are generated at a constant rate at K sources and sent to the corresponding recipients through a broadcast channel. We assume that perfect channel state information (CSI) is available at the transmitter before each transmission, and the additive noise is negligible at the receivers. Under various assumptions on the number of antennas at the transmitter and the size of updates, our object is to design precoding and transmission scheduling schemes for the minimization of the summed time-average Age of Information (AoI) at the recipients. We show that when the transmitter has a single antenna, precoding is unnecessary, and the optimal policy is to update each recipient in a greedy round-robin fashion. When the transmitter has multiple antennas, updating with round-robin precoding is age-optimal.
AB - In this paper, we consider a status updating system where updates are generated at a constant rate at K sources and sent to the corresponding recipients through a broadcast channel. We assume that perfect channel state information (CSI) is available at the transmitter before each transmission, and the additive noise is negligible at the receivers. Under various assumptions on the number of antennas at the transmitter and the size of updates, our object is to design precoding and transmission scheduling schemes for the minimization of the summed time-average Age of Information (AoI) at the recipients. We show that when the transmitter has a single antenna, precoding is unnecessary, and the optimal policy is to update each recipient in a greedy round-robin fashion. When the transmitter has multiple antennas, updating with round-robin precoding is age-optimal.
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U2 - 10.1109/ISIT44484.2020.9174407
DO - 10.1109/ISIT44484.2020.9174407
M3 - Conference contribution
AN - SCOPUS:85090423956
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1776
EP - 1781
BT - 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Symposium on Information Theory, ISIT 2020
Y2 - 21 July 2020 through 26 July 2020
ER -