scholarly journals Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2016 ◽  
Author(s):  
Bin Lyu ◽  
Zhen Yang ◽  
Guan Gui ◽  
Youhong Feng
Keyword(s):  
Resource Allocation ◽  
Communication Systems ◽  
Optimal Resource Allocation ◽  
Backscatter Communication ◽  
Optimal Resource

scholarly journals Optimal Resource Allocation and Interference Management for Multi-User Uplink Light Communication Systems With Angular Diversity Technology

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 203224-203236
Author(s):  
Hossien B. Eldeeb ◽  
Mona Hosney ◽  
Hany M. Elsayed ◽  
Ragia I. Badr ◽  
Murat Uysal ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Communication Systems ◽  
Interference Management ◽  
Optimal Resource Allocation ◽  
Angular Diversity ◽  
Optimal Resource

A novel coevolving differential evolution and its application in intelligent device-to-device communication systems

2021 ◽  
pp. 1-15
Author(s):  
Binbin Xu ◽  
Chang Chen ◽  
Jinrui Tang ◽  
Ruoli Tang
Keyword(s):  
Resource Allocation ◽  
Differential Evolution ◽  
Communication Systems ◽  
Optimal Allocation ◽  
Modern Society ◽  
Spectrum Efficiency ◽  
D2d Communication ◽  
Optimal Resource Allocation ◽  
Device To Device ◽  
Optimal Resource

Due to the increasingly demand of wireless broadband applications in modern society, the device-to-device (D2D) communication technique plays an important role for improving communication spectrum efficiency and quality of service (QoS). This study focuses on the optimal allocation of link resource in D2D communication systems using intelligent approaches, in order to obtain optimal energy efficiency of D2D-pair users (DP) and also ensure communication QoS. To be specific, the optimal resource allocation (ORA) model for ensuring the cooperation between DP and cellular users (CU) is established, and a novel coding strategy of ORA model is also proposed. Then, for efficiently optimizing the ORA model, a novel swarm-intelligence-based algorithm called the dynamic topology coevolving differential evolution (DTC-DE) is developed, and the efficiency of DTC-DE is also tested by a comprehensive set of benchmark functions. Finally, the DTC-DE algorithm is employed for optimizing the proposed ORA model, and some state-of-the-art algorithms are also employed for comparison. Result of case study shows that the DTC-DE outperforms its competitors significantly, and the optimal resource allocation can be obtained by DTC-DE with robust performance.

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