TY - JOUR
T1 - Resource management for future mobile networks
T2 - Architecture and technologies
AU - Li, Yujie
AU - Gao, Zhibin
AU - Huang, Lianfen
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/12/24
Y1 - 2017/12/24
N2 - Compared to fourth-generation (4G) cellular systems, fifth-generation (5G) wireless communication systems face ever-increasing demand for spectral efficiency, energy, high data rates, and throughput as required by new devices and applications. To address these challenges, 5G wireless networks must adopt ultra-dense and heterogeneous networks (HetNet), which render interference and resource management (RM) even more challenging than they are today. In this article, we first review various 5G wireless network architectures proposed in the literature before discussing key 5G wireless technologies for RM. We focus specifically on RM research, which includes spectrum assignment, resource and channel allocation, power control, and interference management based on user-centric cell schemes. Finally, we present a cloud-based user-centric network architecture with emphasis on the networks formation, RM, and interference signal joint-processing via cluster technology to provide higher throughput.
AB - Compared to fourth-generation (4G) cellular systems, fifth-generation (5G) wireless communication systems face ever-increasing demand for spectral efficiency, energy, high data rates, and throughput as required by new devices and applications. To address these challenges, 5G wireless networks must adopt ultra-dense and heterogeneous networks (HetNet), which render interference and resource management (RM) even more challenging than they are today. In this article, we first review various 5G wireless network architectures proposed in the literature before discussing key 5G wireless technologies for RM. We focus specifically on RM research, which includes spectrum assignment, resource and channel allocation, power control, and interference management based on user-centric cell schemes. Finally, we present a cloud-based user-centric network architecture with emphasis on the networks formation, RM, and interference signal joint-processing via cluster technology to provide higher throughput.
KW - 5G
KW - Cloud-based user-centric network
KW - Interference management
KW - Resource management
UR - http://www.scopus.com/inward/record.url?scp=85017368632&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017368632&partnerID=8YFLogxK
U2 - 10.1016/j.comnet.2017.04.007
DO - 10.1016/j.comnet.2017.04.007
M3 - Article
AN - SCOPUS:85017368632
SN - 1389-1286
VL - 129
SP - 392
EP - 398
JO - Computer Networks
JF - Computer Networks
ER -