Sum Rate Analysis and Power Allocation in Massive MIMO Systems with Power Constraints

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Abstract

Since one of the important challenges that can be mentioned in new systems is spectral efficiency (SE), researchers have extensively addressed this problem. In this paper, the authors have addressed the maximization problem of SE in a massive multi input multi output (MIMO) system. This optimization problem is resolved by allocating suboptimal power to users. Two constraints have been considered, according to which, the total power consumption of users should not exceed the maximum transmission power, and the power consumption of users should not be less than a minimum power consumption. By using some changes of variables, the constraints of the optimization problem are simplified, and then, they are eliminated. A new algorithm is presented to calculate the optimal power of users. The simulation results are compared with two algorithms based on game theory and equal power allocation schemes, which shows that the performance of the new method in this paper has improved compared to the other two methods.

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Gharagezlou, A. S., & Nangir, M. (2022). Sum Rate Analysis and Power Allocation in Massive MIMO Systems with Power Constraints. In 2022 12th International Conference on Computer and Knowledge Engineering, ICCKE 2022 (pp. 282–287). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCKE57176.2022.9960083

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