TY - JOUR
T1 - Slicing Framework for Service Level Agreement Guarantee in Heterogeneous Networks - A Deep Reinforcement Learning Approach
AU - Zhang, Heng
AU - Xu, Shugong
AU - Zhang, Shunqing
AU - Jiang, Zhiyuan
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - In 5G scenarios, network slicing and multi-tier heterogeneous networks are critical to guarantee the service level agreement (SLA) of various services. In this letter, a dynamic radio resource slicing framework considering joint bandwidth slicing ratios and base station (BS)-user association is presented for a two-tier heterogeneous wireless network. This framework maximizes the spectrum reuse ratio through a two-step deep reinforcement learning (DRL) method, and guarantees the SLA of network slices simultaneously. Specially, a distributed agent (D-Agent) is deployed at each BS for acquiring the slicing resource in a single BS level. Meanwhile, a centralized agent (C-Agent) manages radio resource allocation and user association among heterogeneous BSs to guarantee the SLA.
AB - In 5G scenarios, network slicing and multi-tier heterogeneous networks are critical to guarantee the service level agreement (SLA) of various services. In this letter, a dynamic radio resource slicing framework considering joint bandwidth slicing ratios and base station (BS)-user association is presented for a two-tier heterogeneous wireless network. This framework maximizes the spectrum reuse ratio through a two-step deep reinforcement learning (DRL) method, and guarantees the SLA of network slices simultaneously. Specially, a distributed agent (D-Agent) is deployed at each BS for acquiring the slicing resource in a single BS level. Meanwhile, a centralized agent (C-Agent) manages radio resource allocation and user association among heterogeneous BSs to guarantee the SLA.
KW - deep reinforcement learning
KW - heterogeneous networks
KW - Network slices
KW - service level agreements
UR - http://www.scopus.com/inward/record.url?scp=85118571921&partnerID=8YFLogxK
U2 - 10.1109/LWC.2021.3123733
DO - 10.1109/LWC.2021.3123733
M3 - Article
AN - SCOPUS:85118571921
SN - 2162-2337
VL - 11
SP - 193
EP - 197
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 1
ER -