Energy-Efficient Resource Optimization in Green Cognitive Internet of Things

2020 ◽  
Vol 25 (6) ◽  
pp. 2527-2535
Author(s):  
Xin Liu ◽  
Ying Li ◽  
Xueyan Zhang ◽  
Weidang Lu ◽  
Mudi Xiong
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Resource Optimization ◽  
Efficient Resource ◽  
Cognitive Internet Of Things

Energy efficient resource optimization in cooperative Internet of Things networks

2020 ◽  
Vol 12 ◽  
pp. 100302
Author(s):  
James Adu Ansere ◽  
Mohsin Kamal ◽  
Eric Gyamfi ◽  
Frederick Sam ◽  
Muhammad Tariq ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Resource Optimization ◽  
Efficient Resource

scholarly journals Energy Efficient Resource Optimization in User-Centric UDNs with NOMA and Beamforming

2020 ◽  
Author(s):  
Long Zhang ◽  
Guobin Zhang ◽  
Xiaofang Zhao ◽  
Enchang Sun
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Access Point ◽  
Resource Optimization ◽  
Mixed Integer ◽  
Downlink Transmission ◽  
Wireless Backhaul ◽  
Efficient Resource ◽  
User Access ◽  
User Centric

In this paper, we address the problem of energy efficient resource optimization for downlink transmission in user-centric ultra-dense networks enabled by wireless access via nonorthogonal multiple access and wireless backhaul via beamforming. Our objective is to maximize the system energy efficiency by optimizing user/access point scheduling, subchannel assignment, and power allocation jointly. The problem is formulated as a nonconvex mixed-integer nonlinear programming problem which is NP-hard. We then transform it into a convex subproblem using the sum-of-ratios decoupling and the iterative successive convex approximation method. An overall algorithm is further developed to solve the subproblem iteratively. Simulation results show that the proposed algorithm has improved the system-wide energy efficiency significantly when compared to the benchmark scheme.

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