Energy-saving control strategy for ultra-dense network base
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
As society grows increasingly more aware of green energy sources, governments also start modifying their power rules to support them. As a result, problems with green base stations became the focus of a significant amount of recent ICT research efforts .
A greedy algorithm is employed to place micro-base stations, maximizing area spectral efficiency. Renewable energy base stations, generating energy from sources like sunlight and wind, are introduced. To optimize renewable energy usage, micro-stations operate in non-adjacent time slices, reducing reliance on the grid.
Liu et al., this research proposes a sleeping algorithm for base stations (BSs) in wireless access networks to reduce energy consumption while maintaining quality of service (QoS). The algorithm relies on location data from user equipment (UE) which is sent to the mobility management entity or serving gateway (MME/S-GW).
Some key tests include output power, output power dynamics, transmit ON / OFF power, transmit signal quality, unwanted emissions, and transmitter intermodulation. Therefore, it is essential to select testing devices that can provide robust performance, and ensure that the base station transmitters in the network perform to standards.
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