Optimal energy efficient joint power allocation for two-hop single-antenna relaying systems

2014 ◽  
Vol 25 (7) ◽  
pp. 745-751 ◽  
Author(s):  
Chunguo Li ◽  
John M. Cioffi ◽  
Luxi Yang
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Joint Power ◽  
Optimal Energy ◽  
Single Antenna ◽  
Relaying Systems

Closed-form energy efficient joint power allocation for dual-hop massive MIMO relaying systems

2017 ◽  
Author(s):  
Yi Wang ◽  
Yuhan Wang ◽  
Songwei Zhang ◽  
Pengge Ma ◽  
Shaochuan Yang ◽  
...  
Keyword(s):  
Closed Form ◽  
Power Allocation ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Joint Power ◽  
Relaying Systems

Optimal Energy-Efficient Power Allocation for Distributed Antenna Systems With Imperfect CSI

2016 ◽  
Vol 65 (9) ◽  
pp. 7759-7763 ◽  
Author(s):  
Wei Feng ◽  
Yunfei Chen ◽  
Ning Ge ◽  
Jianhua Lu
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Imperfect Csi ◽  
Distributed Antenna Systems ◽  
Optimal Energy ◽  
Distributed Antenna ◽  
Efficient Power ◽  
Antenna Systems

scholarly journals Energy-Efficient Joint Power Allocation in Uplink Massive MIMO Cognitive Radio Networks With Imperfect CSI

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 27611-27621 ◽  
Author(s):  
Manman Cui ◽  
Bin-Jie Hu ◽  
Jie Tang ◽  
Yide Wang
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Radio Networks ◽  
Imperfect Csi ◽  
Joint Power

Energy-Efficient Joint Power Allocation and User Selection Algorithm for Data Transmission in Internet-of-Things Networks

2020 ◽  
Vol 7 (9) ◽  
pp. 8736-8747
Author(s):  
James Adu Ansere ◽  
Guangjie Han ◽  
Kusi Ankrah Bonsu ◽  
Yan Peng
Keyword(s):  
Internet Of Things ◽  
Power Allocation ◽  
Data Transmission ◽  
Energy Efficient ◽  
User Selection ◽  
Selection Algorithm ◽  
Joint Power

Joint Power Allocation and Beam Forming for Energy-Efficient Multi-Way Multi-Antenna Relay Networks

2018 ◽  
Vol 60 (2) ◽  
pp. 111-114
Author(s):  
L.K.Wiseling lazarus ◽  
◽  
P.Venka desh ◽  
J.P.Ja yan
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Relay Networks ◽  
Beam Forming ◽  
Joint Power

scholarly journals Joint Power Allocation and Load Balancing Optimization for Energy-Efficient Cell-Free Massive MIMO Networks

2020 ◽  
Vol 19 (10) ◽  
pp. 6798-6812 ◽  
Author(s):  
Trinh Van Chien ◽  
Emil Bjornson ◽  
Erik G. Larsson
Keyword(s):  
Load Balancing ◽  
Power Allocation ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Joint Power ◽  
Mimo Networks

Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks

2012 ◽  
Vol 16 (9) ◽  
pp. 1420-1423 ◽  
Author(s):  
Yan Wang ◽  
Wenjun Xu ◽  
Kewen Yang ◽  
Jiaru Lin
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Radio Networks ◽  
Optimal Energy ◽  
Efficient Power

scholarly journals Energy-Efficient Multicast Precoding for Massive MIMO Transmission with Statistical CSI

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3175 ◽  
Author(s):  
Li You ◽  
Wenjin Wang ◽  
Xiqi Gao
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Matrix Theory ◽  
Multiple Input Multiple Output ◽  
Global Optimum ◽  
Base Station ◽  
Optimal Energy ◽  
Deterministic Equivalent ◽  
Mimo Transmission

In this paper, we investigate energy-efficient multicast precoding for massive multiple-input multiple-output (MIMO) transmission. In contrast with most previous work, where instantaneous channel state information (CSI) is exploited to facilitate energy-efficient wireless transmission design, we assume that the base station can only exploit statistical CSI of the user terminals for downlink multicast precoding. First, in terms of maximizing the system energy efficiency, the eigenvectors of the optimal energy-efficient multicast transmit covariance matrix are identified in closed form, which indicates that optimal energy-efficient multicast precoding should be performed in the beam domain in massive MIMO. Then, the large-dimensional matrix-valued precoding design is simplified into an energy-efficient power allocation problem in the beam domain with significantly reduced optimization variables. Using Dinkelbach’s transform, we further propose a sequential beam domain power allocation algorithm which is guaranteed to converge to the global optimum. In addition, we use the large-dimensional random matrix theory to derive the deterministic equivalent of the objective to reduce the computational complexity involved in sample averaging. We present numerical results to illustrate the near-optimal performance of our proposed energy-efficient multicast precoding for massive MIMO.

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