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

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