QoS-Oriented joint optimization of resource allocation and concurrent scheduling in 5G millimeter-wave network

2020 ◽  
Vol 166 ◽  
pp. 106979
Author(s):  
Zhongyu Ma ◽  
Bo Li ◽  
Zhongjiang Yan ◽  
Mao Yang
Keyword(s):  
Resource Allocation ◽  
Millimeter Wave ◽  
Joint Optimization ◽  
Concurrent Scheduling ◽  
Wave Network

scholarly journals Joint Optimization on Both Routing and Resource Allocation for Millimeter Wave Cellular Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 93631-93642 ◽  
Author(s):  
Pengshuo Ji ◽  
Jie Jia ◽  
Jian Chen
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
Millimeter Wave ◽  
Joint Optimization

QoS-oriented joint optimization of concurrent scheduling and power control in millimeter wave mesh backhaul network

2021 ◽  
Vol 174 ◽  
pp. 102891
Author(s):  
Zhongyu Ma ◽  
Jie Cao ◽  
Qun Guo ◽  
Xiangwei Li ◽  
Hongfeng Ma
Keyword(s):  
Power Control ◽  
Millimeter Wave ◽  
Joint Optimization ◽  
Concurrent Scheduling

scholarly journals Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network

2019 ◽  
Vol 37 (5) ◽  
pp. 943-951
Author(s):  
Zhongyu Ma ◽  
Bo Li ◽  
Zhongjiang Yan ◽  
Mao Yang
Keyword(s):  
Resource Allocation ◽  
Millimeter Wave ◽  
Optimization Problem ◽  
Access Network ◽  
Joint Optimization ◽  
Utilization Rate ◽  
User Association ◽  
Access Rate ◽  
Backhaul Link ◽  
Access Link

Since the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user association and resource allocation is proposed and implemented for the mm-Wave IBAN from the perspective of the maximization of the transmission traffic in the whole network. The joint optimization problem of the user association and the resource allocation is formulated as a combined non-convex optimization problem, and then the problem is decomposed into two sub-problems. The first sub-problem, which is aimed at the maximization of the whole access rate, is the problem of the user association under the condition of the match between the access rate and backhaul rate. The second sub-problem, which is aimed at the maximization of the whole traffic of the network, is the problem of the resources allocation between the access link and backhaul link. The artificial immune optimization algorithm (IOA) is used to solve the first sub-problem. After that, the optimal transmission resource ratio between the access link and backhaul link is obtained according to the differentiating of the expression for the whole traffic. The simulation results show that the proposed method has more gains in the improvement of the whole network traffic when compared with the user association mechanism based on the nearest distance.

Service Characteristics-Oriented Joint Optimization of Radio and Computing Resource Allocation in Mobile-Edge Computing

2021 ◽  
Vol 8 (11) ◽  
pp. 9407-9421
Author(s):  
Jie Feng ◽  
Lei Liu ◽  
Qingqi Pei ◽  
Fen Hou ◽  
Tingting Yang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Edge Computing ◽  
Joint Optimization ◽  
Mobile Edge Computing ◽  
Computing Resource ◽  
Service Characteristics

Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network

2021 ◽  
Vol 64 (8) ◽  
Author(s):  
Shuang Ni ◽  
Junyu Liu ◽  
Min Sheng ◽  
Jiandong Li ◽  
Xiaona Zhao
Keyword(s):  
Resource Allocation ◽  
Joint Optimization ◽  
User Association

scholarly journals User association and resource allocation in 5G (AURA-5G): A joint optimization framework

2021 ◽  
pp. 108063
Author(s):  
Akshay Jain ◽  
Elena Lopez-Aguilera ◽  
Ilker Demirkol
Keyword(s):  
Resource Allocation ◽  
Joint Optimization ◽  
User Association ◽  
Optimization Framework

Joint Optimization of Resource Allocation and Relay Selection for Network Coding Aided Device-to-Device Communications

2015 ◽  
Vol 19 (5) ◽  
pp. 807-810 ◽  
Author(s):  
Yulei Zhao ◽  
Yong Li ◽  
Xiang Chen ◽  
Ning Ge
Keyword(s):  
Resource Allocation ◽  
Network Coding ◽  
Relay Selection ◽  
Joint Optimization ◽  
Device To Device ◽  
Selection For
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