Title
Deep reinforcement learning based multicast mode selection for SFN
Abstract
The dramatic increase in data traffic poses a great challenge to the cellular network. To alleviate the pressure of the network and improve the spectrum efficiency, Multimedia Broadcast and Multicast Service (MBMS) is introduced to enable the point-to-multipoint transmission in the cellular network. To enhance the received signal strength (RSS) of cell edge users, the Multicast/Broadcast Single Fr...
Year
DOI
Venue
2021
10.1109/BMSB53066.2021.9547108
2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
Keywords
DocType
ISSN
Multicast,SC-PTM,MBSFN,deep reinforcement network,deep learning,policy gradient,combinatorial optimization
Conference
2155-5044
ISBN
Citations 
PageRank 
978-1-6654-4908-3
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Hao Cheng100.34
Yihang Huang263.40
Dazhi He313733.79
Yin Xu438364.25
Yanfeng Wang55916.46
Wenjun Zhang61789177.28