# Energy Efficient Distributed Worst Case Robust Power Allocation in Massive MIMO

arXiv: https://arxiv.org/abs/1804.04267 · HTML: https://mlsanity.com/paper/1804.04267/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Apr 2018.

## Built on by (most cited first, 1 of 1)

- [Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks](https://mlsanity.com/paper/2201.11799/) (2022)

## Abstract (arXiv)

This letter proposes an energy efficient distributed worst case robust power allocation in massive multiple input multiple output (MIMO) system. We assume a bounded channel state information (CSI) error and all channels lie in some bounded uncertainty region. The problem is formulated as max-min one with infinite constraint. At first, we solve the inner problem with triangle and Cauchy-Schwarz inequality, then by fractional programming and successive convex approximation (SCA) technique problem transfers to a convex optimization. Finally closed form transmit power is obtained with distribution way. Simulation results demonstrate proposed algorithm convergence and validate robust power allocation. Also, the appropriate number of transmit antenna to have maximum energy efficiency in simulation result is shown.