TY - GEN
T1 - Power Control Based on Multi-Agent Deep Q Network for D2D Communication
AU - Gengtian, Shi
AU - Koshimizu, Takashi
AU - Saito, Megumi
AU - Zhenni, Pan
AU - Jiang, Liu
AU - Shimamoto, Shigeru
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - In device-to-device (D2D) communication under a cell with resource sharing mode the spectrum resource utilization of the system will be improved. However, if the interference generated by the D2D user is not controlled, the performance of the entire system and the quality of service (QOS) of the cellular user may be degraded. Power control is important because it helps to reduce interference in the system. In this paper, we propose a reinforcement learning algorithm for adaptive power control that helps reduce interference to increase system throughput. Simulation results show the proposed algorithm has better performance than traditional algorithm in LTE (Long Term Evolution).
AB - In device-to-device (D2D) communication under a cell with resource sharing mode the spectrum resource utilization of the system will be improved. However, if the interference generated by the D2D user is not controlled, the performance of the entire system and the quality of service (QOS) of the cellular user may be degraded. Power control is important because it helps to reduce interference in the system. In this paper, we propose a reinforcement learning algorithm for adaptive power control that helps reduce interference to increase system throughput. Simulation results show the proposed algorithm has better performance than traditional algorithm in LTE (Long Term Evolution).
KW - D2D
KW - Deep Q Network
KW - Power Control
KW - Reinforcement Learning
KW - System throughput
UR - http://www.scopus.com/inward/record.url?scp=85084066516&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084066516&partnerID=8YFLogxK
U2 - 10.1109/ICAIIC48513.2020.9065192
DO - 10.1109/ICAIIC48513.2020.9065192
M3 - Conference contribution
AN - SCOPUS:85084066516
T3 - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
SP - 257
EP - 261
BT - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Y2 - 19 February 2020 through 21 February 2020
ER -