A CMDP-based Approach for Energy Efficient Power Allocation in Massive MIMO Systems
Abstract
In this paper, energy efficient power allocation for the uplink of a multi-cell massive MIMO system is investigated. With the simplified power consumption model, the problem of power allocation is formulated as a constrained Markov decision process (CMDP) framework with infinite-horizon expected discounted total reward, which takes into account different quality of service (QoS) requirements for each user terminal (UT). We propose an offline solution containing the value iteration and Q-learning algorithms, which can obtain the global optimum power allocation policy. Simulation results show that our proposed policy performs very close to the ergodic optimal policy.
Cite
@article{arxiv.1703.07051,
title = {A CMDP-based Approach for Energy Efficient Power Allocation in Massive MIMO Systems},
author = {Peng Li and Yanxiang Jiang and Wei Li and Fuchun Zheng and Xiaohu You},
journal= {arXiv preprint arXiv:1703.07051},
year = {2017}
}
Comments
6 pages, 5 figures, IEEE Wireless Communications and Networking Conference (WCNC'16)