A Randomized Algorithm for Joint Power and Channel Allocation in 5G D2D Communication

2019 ◽  
Author(s):  
Subhankar Ghosal ◽  
Sasthi C. Ghosh
Keyword(s):  
Channel Allocation ◽  
Randomized Algorithm ◽  
D2d Communication ◽  
Joint Power

scholarly journals A Two-Stage Energy-Efficient Approach for Joint Power Control and Channel Allocation in D2D Communication

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 16940-16951 ◽  
Author(s):  
Sihan Liu ◽  
Yucheng Wu ◽  
Liang Li ◽  
Xiaocui Liu ◽  
Weiyang Xu
Keyword(s):  
Power Control ◽  
Energy Efficient ◽  
Channel Allocation ◽  
D2d Communication ◽  
Two Stage ◽  
Joint Power ◽  
Efficient Approach ◽  
Joint Power Control

scholarly journals A Two-Layer, Energy-Efficient Approach for Joint Power Control and Uplink–Downlink Channel Allocation in D2D Communication

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3285 ◽  
Author(s):  
Li Zhou ◽  
Yucheng Wu ◽  
Haifei Yu
Keyword(s):  
Power Control ◽  
Polynomial Time ◽  
Performance Indicator ◽  
Channel Allocation ◽  
D2d Communication ◽  
Mixed Integer ◽  
Lambert W Function ◽  
Allocation Scheme ◽  
Joint Power ◽  
Battery Capacity

Energy efficiency (EE) is a critical performance indicator for the device-to-device (D2D) communication underlaying cellular networks due to limited battery capacity and serious interference between user equipment. In this study, we proposed a power control and channel allocation scheme for the EE maximization of the D2D pairs, while jointly reusing uplink–downlink resources and guaranteeing the cellular users’ (CUs) quality of service (QoS). The formulated problem was a mixed-integer nonlinear programming (MINLP) problem, which is generally an unsolved non-deterministic polynomial-time hardness (NP-hard) problem within polynomial time. To make it tractable to solve, the original problem was divided into two sub-problems: power control and channel allocation. A power control algorithm based on the Lambert W function was proposed to maximize the EE of the individual D2D pair. Assigning either an uplink or downlink resource to reuse, the EE of each D2D pair was calculated using the power control results. A channel allocation scheme based on the Kuhn–Munkres algorithm utilized the EE weights to optimize the overall EE of the D2D pairs. The simulation results verified the theoretical analysis and proved that the proposed algorithm could remarkably improve the EE of D2D pairs while guaranteeing the QoS of the CUs.

A Simple Distributed Channel Allocation Algorithm for D2D Communication Pairs

2018 ◽  
Vol 67 (11) ◽  
pp. 10960-10969 ◽  
Author(s):  
Haitao Zhao ◽  
Kaiqi Ding ◽  
Nurul I Sarkar ◽  
Jibo Wei ◽  
Jun Xiong
Keyword(s):  
Channel Allocation ◽  
D2d Communication ◽  
Allocation Algorithm ◽  
Distributed Channel Allocation

scholarly journals Joint Power Control and Channel Allocation for Interference Mitigation Based on Reinforcement Learning

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 177254-177265 ◽  
Author(s):  
Guofeng Zhao ◽  
Yong Li ◽  
Chuan Xu ◽  
Zhenzhen Han ◽  
Yuan Xing ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Power Control ◽  
Interference Mitigation ◽  
Channel Allocation ◽  
Joint Power ◽  
Joint Power Control
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