Massive multiple input multiple output (MIMO) is proposed to increase network capacity and reduce power consumption in next generation of wireless networks. In this paper, power allocation in the massive multiple input multiple output (MIMO) cellular networks is studied. Considering circuit power consumption, energy efficiency is utilized to evaluate the network performance, since circuit power consumption increases by increasing both the number of antenna in transmitter and the number of network users. To optimize transmit power of the network, an energy efficient optimization problem is considered under both maximum transmit power and quality of service (QoS) constraints. Where the users cooperate with the base station (BS) to minimize network power usage. To solve the problem, an energy efficient power allocation algorithm is proposed. Convergence of the proposed algorithm is shown numerically, in addition, the appropriate number of transmit antenna and users are obtained. Finally, pilot contamination effect is evaluated, where it is shown energy efficiency decreases dramatically.
The authors in REF proposed power allocation in a DL singlecell massive MIMO system by increasing the number of transmitting antenna arrays and number of users to increase network capacity and reduce power consumption.
Cooperative Energy Efficient Power Allocation Algorithm for downlink massive MIMO
ArXiv
ArXiv
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