A cmdp-based approach for energy efficient power allocation in massive mimo systems
P Li, Y Jiang, W Li, F Zheng… - 2016 IEEE wireless …, 2016 - ieeexplore.ieee.org
2016 IEEE wireless communications and networking conference, 2016•ieeexplore.ieee.org
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 …
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 …
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.
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