Paper Info
Title
Reinforcement Learning Based Cooperation Transmission Policy for HetNets with CoMP Technology.
Abstract
In order to ensure the performance of cell edge users and meet the explosive growth of people’s data services, Coordinated Multiple Points technology (CoMP) has become a key technology in the evolution of wireless networks. Cooperative cell selection is a major support point of CoMP multi-point collaboration technology. However, multi-differentiated clusters and radio resource optimization at this stage still cannot meet the requirements of cell edge users for signal reception quality and rate, and improvement of system performance is also facing serious challenges. This paper focuses on the cooperative transmission technology of base stations in CoMP system. This paper focuses on the cooperative transmission technology of green micro base stations in CoMP system. Using the method of reinforcement learning (RL), a semi-dynamic collaboration scheme that can be learned autonomously is proposed. Simulations show that this solution has a significant effect on improving system throughput and improving edge user rates.
Year
DOI
Venue
2018
10.1007/978-3-030-15127-0_12
HCC
Field
DocType
Citations 
Base station,Wireless network,Transmission technology,Transmission (mechanics),Computer science,Computer network,Radio resource,Throughput,Data as a service,Reinforcement learning
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Nan Lin173.36
Yifei Wei213618.94
Mei Song326544.50
Chunping Hou450151.32
Ligang Ren502.03