Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks

2017 ◽  
Author(s):  
Bo Gu ◽  
Mianxiong Dong ◽  
Zhi Liu ◽  
Cheng Zhang ◽  
Yoshiaki Tanaka
Keyword(s):  
Power Allocation ◽  
Femtocell Networks ◽  
Allocation Algorithm ◽  
Utility Optimization ◽  
Water Filling

scholarly journals Improved Water-Filling Power Allocation for Energy-Efficient Massive MIMO Downlink Transmissions

2017 ◽  
Vol 63 (1) ◽  
pp. 79-84
Author(s):  
M. K Noor Shahida ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail
Keyword(s):  
Power Allocation ◽  
Network Architecture ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Downlink Transmission ◽  
Allocation Algorithm ◽  
Mimo Antenna ◽  
Water Filling ◽  
Water Filling Algorithm

Abstract Energy Efficiency (EE) is becoming increasingly important for wireless communications and has caught more attention due to steadily rising energy costs and environmental concerns. Recently, a new network architecture known as Massive Multiple-Input Multiple-Output (MIMO) has been proposed with the remarkable potential to achieve huge gains in EE with simple linear processing. In this paper, a power allocation algorithm is proposed for EE to achieve the optimal EE in Massive MIMO. Based on the simplified expression, we develop a new algorithm to compute the optimal power allocation algorithm and it has been compared with the existing scheme from the previous literature. An improved water filling algorithm is proposed and embedded in the power allocation algorithm to maximize EE and Spectral Efficiency (SE). The numerical analysis of the simulation results indicates an improvement of 40% in EE and 50% in SE at the downlink transmission, compared to the other existing schemes. Furthermore, the results revealed that SE does not influence the EE enhancement after using the proposed algorithm as the number of Massive MIMO antenna at the Base Station (BS) increases.

scholarly journals Power allocation in OFDM-based cognitive radio systems

2021 ◽  
Author(s):  
Shibiao Zhao
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Optimal Power Allocation ◽  
Power Constraint ◽  
Interference Constraints ◽  
Allocation Algorithm ◽  
Optimal Power ◽  
Water Filling ◽  
Water Filling Algorithm ◽  
Allocation Algorithms

In this thesis, we develop an subcarrier transmission suboptimal power allocation algorithm and an underlay subcarrier transmission optimal power allocation algorithm for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems with different statistical interference constraints imposed by different primary users (PUs). Given the fact that the interference constraints are met in a statistical manner, the CR transmitter does not require the instantaneous channel quality feed-back from the PU receivers. First an alternative subcarrier transmission suboptimal algorithm with reduced complexity has been proposed and the performance has been investigated. Presented numerical results show that with our proposed suboptimal power allocation algorithm CR user can achieve 10 percent higher transmission capacity for given statistical interference constraints and a given power budget compared to the traditional suboptimal power allocation algorithms, uniform and water-filling power allocation algorithms. The proposed suboptimal algorithm outperforms traditional suboptimal algorithm, water-filling algorithm and uniform power loading algorithm. Second,We introduce an underlay subcarrier transmission optimal power allocation algorithms which allows the secondary users use the bandwidth used by Pus. And at the same time we consider the individual peak power constraint as the forth constraint added to the objective function which is the transmission capacity rate of the secondary users.Third, we propose suboptimal algorithm using GWF which has less complexity level than traditional water-filling algorithm instead of conventional water-filling algorithm in calculating the assigned power while considering the satisfaction of the total power constraint. The proposed suboptimal algorithm gives an option of using a low complexity power allocation algorithm where complexity is an issue.

An Efficient Subcarrier Power Allocation Algorithm in Cognitive WSN

2011 ◽  
Vol 255-260 ◽  
pp. 2062-2066
Author(s):  
Xiao Rong Xu ◽  
Jian Wu Zhang ◽  
Bao Yu Zheng ◽  
Jun Rong Yan
Keyword(s):  
Power Allocation ◽  
Spectrum Sharing ◽  
Primary User ◽  
Water Levels ◽  
Practical Implementation ◽  
Spectrum Utilization ◽  
Theoretical Derivation ◽  
Allocation Algorithm ◽  
Rate Adaptive ◽  
Water Filling

In Cognitive Wireless Sensor Network (C-WSN), spectrum utilization and energy-efficiency are both significant items for the whole network. Interference between Primary User (PU) sensor and Secondary User (SU) sensor should be eliminated in order to realize spectrum sharing. In this paper, mathematical model of multi-carrier power allocation in cognitive OFDM is constructed. Multi-carrier power allocation based on rate adaptive criterion is proposed under the constraints of SUs’ power control. An efficient subcarrier power allocation algorithm based on adaptive water-filling is proposed. The improved algorithm could directly determine the sub-carriers that do not require additional power injection by rough estimation of water levels. Computational complexity of proposed algorithm could reduce rapidly. Meanwhile, theoretical derivation and numerical results both indicate that, with the proposed power allocation algorithm, SU’s spectral efficiency is superior to other traditional water-filling schemes, and the algorithm also has some adaptive features for practical implementation in C-WSN.

scholarly journals Power allocation in OFDM-based cognitive radio systems

2021 ◽  
Author(s):  
Shibiao Zhao
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Optimal Power Allocation ◽  
Power Constraint ◽  
Interference Constraints ◽  
Allocation Algorithm ◽  
Optimal Power ◽  
Water Filling ◽  
Water Filling Algorithm ◽  
Allocation Algorithms

In this thesis, we develop an subcarrier transmission suboptimal power allocation algorithm and an underlay subcarrier transmission optimal power allocation algorithm for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems with different statistical interference constraints imposed by different primary users (PUs). Given the fact that the interference constraints are met in a statistical manner, the CR transmitter does not require the instantaneous channel quality feed-back from the PU receivers. First an alternative subcarrier transmission suboptimal algorithm with reduced complexity has been proposed and the performance has been investigated. Presented numerical results show that with our proposed suboptimal power allocation algorithm CR user can achieve 10 percent higher transmission capacity for given statistical interference constraints and a given power budget compared to the traditional suboptimal power allocation algorithms, uniform and water-filling power allocation algorithms. The proposed suboptimal algorithm outperforms traditional suboptimal algorithm, water-filling algorithm and uniform power loading algorithm. Second,We introduce an underlay subcarrier transmission optimal power allocation algorithms which allows the secondary users use the bandwidth used by Pus. And at the same time we consider the individual peak power constraint as the forth constraint added to the objective function which is the transmission capacity rate of the secondary users.Third, we propose suboptimal algorithm using GWF which has less complexity level than traditional water-filling algorithm instead of conventional water-filling algorithm in calculating the assigned power while considering the satisfaction of the total power constraint. The proposed suboptimal algorithm gives an option of using a low complexity power allocation algorithm where complexity is an issue.

Power allocation algorithm with QoS-requirements in multi-user relay networks

2011 ◽  
Vol 31 (3) ◽  
pp. 606-608
Author(s):  
Jing-lin YAN ◽  
Lun TANG ◽  
Qian-bin CHEN ◽  
Bo CHEN
Keyword(s):  
Power Allocation ◽  
Relay Networks ◽  
Allocation Algorithm
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