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

Abstract

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.

Design of a Reconfigurable Intelligent Surface Algorithm Based on Multiple-Input Multiple-Output

“…This paper devises an RIS-assisted cellular-free network, evaluates the WSR and other properties of the network, and designs a joint precoding scheme, which optimizes the network capacity by maximizing the WSR. The results simulation show that, with the help of energy-efficient and low-cost RIS, the proposed RIS-assisted cellular-free massive MIMO network can achieve higher capacity than traditional cellular-free networks, reduce transmit power [15], improve the transmission efficiency and reliability [16], and expand the coverage of wireless transmission [17][18][19][20][21][22][23][24][25][26][27].…”

A novel pilot power allocation method based on energy efficiency maximization in massive MIMO systems for future generation wireless technologies

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