TY - GEN
T1 - Scheduling URLLC and Punctured eMBB Users with Retransmissions and Rate Adaptation Techniques
AU - Ewaisha, Ahmed
AU - Tepedelenlioglu, Cihan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we consider a single Base-Station (BS) cellular system serving N u URLLC users and Ne eMBB users. Due to the stringent low latency requirements of the URLLC users, the scheduler needs to schedule their packets as soon as they arrive to the BS even if at the expense of a reduction in the eMBB user's rate. This is known in the literature as 'punc-turing'. To guarantee the ultra-reliability requirement of the URLLC users, the BS adapts the URLLC's rate according to the channel's state information. A low rate improves the reliability of the URLLC user at the expense of consuming more resource blocks which reduces the eMBB rate. To maximize the eMBB users' sum-rate while providing an acceptable URLLC reliability, we present an optimal scheduling algorithm and show its polynomial-time complexity in both Nu and Ne. We investigate this problem under two different retransmission schemes, namely, the Blind Retransmission and the Adaptive Retransmission. In addition, we show that our scheduling algorithms work even when the URLLC's channel state information is not available which is a typical case in more delay-stringent 5G applications.
AB - In this paper, we consider a single Base-Station (BS) cellular system serving N u URLLC users and Ne eMBB users. Due to the stringent low latency requirements of the URLLC users, the scheduler needs to schedule their packets as soon as they arrive to the BS even if at the expense of a reduction in the eMBB user's rate. This is known in the literature as 'punc-turing'. To guarantee the ultra-reliability requirement of the URLLC users, the BS adapts the URLLC's rate according to the channel's state information. A low rate improves the reliability of the URLLC user at the expense of consuming more resource blocks which reduces the eMBB rate. To maximize the eMBB users' sum-rate while providing an acceptable URLLC reliability, we present an optimal scheduling algorithm and show its polynomial-time complexity in both Nu and Ne. We investigate this problem under two different retransmission schemes, namely, the Blind Retransmission and the Adaptive Retransmission. In addition, we show that our scheduling algorithms work even when the URLLC's channel state information is not available which is a typical case in more delay-stringent 5G applications.
UR - http://www.scopus.com/inward/record.url?scp=85190382784&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190382784&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF59524.2023.10476905
DO - 10.1109/IEEECONF59524.2023.10476905
M3 - Conference contribution
AN - SCOPUS:85190382784
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 243
EP - 247
BT - Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Y2 - 29 October 2023 through 1 November 2023
ER -