Joint Data and Pilot Power Allocation for Massive MU-MIMO Downlink TDD Systems

Saatlou, O.; Ahmad, M.O.; Swamy, M.N.S.

doi:10.1109/tcsii.2018.2866111

Cited by 13 publications

(4 citation statements)

References 10 publications

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“…Unfortunately, radio frequency (RF) chains and energy consumption will both increase simultaneously with increases in the number of antennas. Therefore, power consumption has become an unignorable factor in the development of MIMO systems [5,6], and various power allocation strategies have been proposed to improve energy efficiency [7][8][9][10][11][12]. Primarily, the existing methods usually maximize the channel capacity under a fixed total transmission power.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization of Massive MIMO System with Uplink Multi-Cell Based on Imperfect CSI with Power Control

Zhang

Deng

et al. 2022

Symmetry

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In order to solve the energy efficiency optimization problem in the uplink multi-cell massive MIMO system, this paper constructs the system transmission model, of which the channel is symmetry, based on user and base station, and deduces the expression of data transmission rate of each user. Then, we establish a model of the spectral and energy efficiency of multi-cell massive MIMO system by analyzing the pilot transmission and channel estimation. We also derive the nonconvex function for the energy efficiency optimization, which is difficult to solve directly. Therefore, we propose an improved particle swarm optimization algorithm to obtain the suboptimal solution, under low complexity, by optimizing the distribution of user power. To demonstrate the advantages of our proposed algorithm, we simulate the energy efficiency performance of the algorithm. The results show that the proposed algorithm can effectively improve the energy efficiency of the system.

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Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization of Massive MIMO System with Uplink Multi-Cell Based on Imperfect CSI with Power Control

Zhang

Deng

et al. 2022

Symmetry

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“…• The small number of cells in simulations as in studies [11,12] • Discontinuity of water-filling algorithm because of the Jacobian of SINR [8] Therefore, the proposed method provides the capability of simulations where the number of cell is nineteen. Hence, the results of this study's simulations are more resembling to real life scenarios.…”

Section: Introductionmentioning

confidence: 99%

Exponentially-Weighted Based Dynamic Pilot Power Allocation in Massive MIMO Systems

Pakyurek¹,

Dikmen²,

Kulac³

2022

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In this paper, we propose a distinctive pilot power allocation algorithm to maximize the sum rate in a multi-cell multi-user massive multiple-input multiple-output (MIMO) system. The algorithm optimizes pilot powers by polarizing the corresponding SINR values. In order to polarize SINRs, the difference between average SINR per cell and individual SINR is calculated for each user of the whole cells. The exponential form of the difference is used in the calculations of the weights for power allocation. New power values are obtained in proportion to these weights. Therefore, the power budget is utilized more efficiently thanks to these optimized power values. The efficiency of the algorithm is measured using the cumulative average SINR of the simulation system. Furthermore, equal pilot power allocation (EPPA) and water-filling pilot power allocation (WF-PPA) schemes are also implemented to compare the performances under the same simulation environments. A vast number of simulations results prove that our proposed heuristic approach is more efficient than EPPA and WF-PPA methods.

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“…In [36], a power allocation method over training and data symbols power has been proposed in order to maximize SE, where a ZF receiver is employed. In DL transmission, power among the user is allocated by BS in order to improve the SE of massive MU-MIMO systems [37]- [43]. For instance, a power allocation scheme among the users has been proposed in [37] in order to maximize SE under the total power constraint at BS.…”

Section: Introductionmentioning

confidence: 99%

“…In [42], a power control scheme between the data and pilot symbols has been proposed in order to improve SE, where the BT scheme is employed. In [43], a method of power allocation among each of the pilot and data symbols of all the users is proposed to maximize SE, where the total power budget per coherence interval for all users is given. In spite of the fact that there are a number of works on the SE maximization in DL transmission, none of these has considered a resource allocation scheme that jointly optimizes the pilot power, data power and duration of training in the BT scheme.…”

Section: Introductionmentioning

confidence: 99%

Spectral Efficiency Maximization of a Single Cell Massive MU-MIMO Down-Link TDD System by Appropriate Resource Allocation

2019

Self Cite

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This paper deals with the problem of maximizing the spectral efficiency in a massive multi-user MIMO downlink system, where a base station is equipped with a very large number of antennas and serves single-antenna users simultaneously in the same frequency band, and the beamforming training scheme is employed in the time-division duplex mode. An optimal resource allocation that jointly selects the training duration on uplink transmission, the training signal power on downlink transmission, the training signal power on uplink transmission, and the data signal power on downlink transmission is proposed in such a way that the spectral efficiency is maximized given the total energy budget. Since the spectral efficiency is the main concern of this work, and its calculation using the lower bound on the achievable rate is computationally very intensive, in this paper, we also derive approximate expressions for the lower bound of achievable downlink rate for the maximum ratio transmission (MRT) and zero-forcing (ZF) precoders. The computational simplicity and accuracy of the approximate expressions for the lower bound of achievable downlink rate are validated through simulations. By employing these approximate expressions, experiments are conducted to obtain the spectral efficiency of the massive MIMO downlink time-division duplexing system with the optimal resource allocation and that of the beamforming training scheme. It is shown that the spectral efficiency of the former system using the optimal resource allocation is superior to that yielded by the latter scheme in the cases of both MRT and ZF precoders.

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Joint Data and Pilot Power Allocation for Massive MU-MIMO Downlink TDD Systems

Cited by 13 publications

References 10 publications

Energy Efficiency Optimization of Massive MIMO System with Uplink Multi-Cell Based on Imperfect CSI with Power Control

Energy Efficiency Optimization of Massive MIMO System with Uplink Multi-Cell Based on Imperfect CSI with Power Control

Exponentially-Weighted Based Dynamic Pilot Power Allocation in Massive MIMO Systems

Spectral Efficiency Maximization of a Single Cell Massive MU-MIMO Down-Link TDD System by Appropriate Resource Allocation

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