TY - GEN
T1 - On Performance of Deep Reinforcement Learning-based Listen-Before-Talk (LBT) Scheme
AU - Lee, Minjeong
AU - Lee, Jaewook
AU - Lee, Hochan
AU - Kim, Taeyun
AU - Pack, Sangheon
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by Samsung Research in Samsung Electronics.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/13
Y1 - 2021/1/13
N2 - Licensed assisted access (LAA) is a promising system to overcome the limited radio resource by sharing the unlicensed band with wireless local area networks (WLANs), and the listen-before-talk (LBT) scheme is a key technology for providing fairness between LAA and WLAN. Recently, deep reinforcement learning (DRL) has been investigated to improve the performance of LBT; however, such approaches assume that there is no processing delay and thus the optimal decision can be immediately done. In this paper, we evaluate the performance of the DRL-based LBT (DRL-LBT) scheme when different processing delays are considered for DRL. Evaluation results demonstrate that the throughput fairness index and the total throughput of DRL-LBT with the processing delay can be degraded up to by 9.4% and 10.0%, respectively, compared with an ideal case without any processing delay.
AB - Licensed assisted access (LAA) is a promising system to overcome the limited radio resource by sharing the unlicensed band with wireless local area networks (WLANs), and the listen-before-talk (LBT) scheme is a key technology for providing fairness between LAA and WLAN. Recently, deep reinforcement learning (DRL) has been investigated to improve the performance of LBT; however, such approaches assume that there is no processing delay and thus the optimal decision can be immediately done. In this paper, we evaluate the performance of the DRL-based LBT (DRL-LBT) scheme when different processing delays are considered for DRL. Evaluation results demonstrate that the throughput fairness index and the total throughput of DRL-LBT with the processing delay can be degraded up to by 9.4% and 10.0%, respectively, compared with an ideal case without any processing delay.
KW - Deep Reinforcement Learning (DRL)
KW - Licensed assisted access (LAA)
KW - Listen-before-talk (LBT)
UR - http://www.scopus.com/inward/record.url?scp=85100737642&partnerID=8YFLogxK
U2 - 10.1109/ICOIN50884.2021.9333903
DO - 10.1109/ICOIN50884.2021.9333903
M3 - Conference contribution
AN - SCOPUS:85100737642
T3 - International Conference on Information Networking
SP - 72
EP - 75
BT - 35th International Conference on Information Networking, ICOIN 2021
PB - IEEE Computer Society
T2 - 35th International Conference on Information Networking, ICOIN 2021
Y2 - 13 January 2021 through 16 January 2021
ER -