Joint Power and Admission Control for Spectral and Energy Efficiency Maximization in Heterogeneous OFDMA Networks

2016 ◽  
Vol 15 (5) ◽  
pp. 3531-3547 ◽  
Author(s):  
Wei-Sheng Lai ◽  
Tsung-Hui Chang ◽  
Ta-Sung Lee
Keyword(s):  
Energy Efficiency ◽  
Admission Control ◽  
Joint Power ◽  
Ofdma Networks

Secrecy Energy Efficiency Optimization for Downlink Two-User OFDMA Networks With SWIPT

2019 ◽  
Vol 13 (1) ◽  
pp. 324-335 ◽  
Author(s):  
Hongyan Yu ◽  
Songtao Guo ◽  
Yuanyuan Yang ◽  
Luyue Ji ◽  
Yang Yang
Keyword(s):  
Energy Efficiency ◽  
Efficiency Optimization ◽  
Ofdma Networks

scholarly journals Lagrangian Dual Decomposition for Joint Resource Allocation Optimization Problem in OFDMA Downlink Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Li-Jun Jia ◽  
Yu-Cheng He ◽  
Dong-Hua Chen ◽  
Lin Zhou
Keyword(s):  
Energy Efficiency ◽  
Optimization Problem ◽  
Joint Optimization ◽  
Original Form ◽  
Dual Decomposition ◽  
Joint Power ◽  
Lagrangian Dual ◽  
Joint Resource Allocation ◽  
Multiple Variable ◽  
Variable Coupling

This paper proposes an efficient method for joint power and subcarrier allocation in a multicell multiuser OFDMA downlink network. The joint optimization problem is formulated with the objective of maximizing the energy efficiency subject to the constraints on the quality of service in sum transmission rates for each cell and the total transmit power for the network. Due to intercell cochannel interferences and multiple variable coupling, the problem is intractable in its original form. To relax the difficulties in coordinating cochannel interferences, we introduce the tolerable interferences constraints for interference channels. To cope with the multiple variable coupling, we decompose the joint optimization problem into two iterative processes of user scheduling and a parametric convex optimization problem, where the energy efficiency is treated as the parameter and approached by bisection search. Then, by double dual decomposition, the parametric convex problem is transformed into Lagrangian dual problems at two levels of cells and subcarriers, and a decentralized solution is obtained in closed form. Based on the reformulations, an iterative subgradient algorithm is presented for approaching the joint optimization problem with acceptable complexity. Computer simulations are conducted to validate the proposed algorithm and examine the effects of various system parameters.

scholarly journals Joint Power and Admission Control Based on Channel Distribution Information: A Novel Two-Timescale Approach

2017 ◽  
Vol 24 (2) ◽  
pp. 196-200 ◽  
Author(s):  
Qitian Chen ◽  
Dong Kang ◽  
Yichu He ◽  
Tsung-Hui Chang ◽  
Ya-Feng Liu
Keyword(s):  
Admission Control ◽  
Joint Power ◽  
Channel Distribution
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