Base station (BS) sleeping is an effective approach to reduce the power consumption of the network, by switching some of the BSs to a low-power “sleep mode” during off-peak traffic hours.
The sleep mechanism of a base station refers to the intelligent shutdown of major power consumption devices, such as the AAU of the base station, when there is no load or the load is low, such that the energy consumption is greatly reduced.
Can a 5G base station energy storage sleep mechanism be optimized?
The optimization configuration method for the 5G base station energy storage proposed in this article, that considered the sleep mechanism, has certain engineering application prospects and practical value; however, the factors considered are not comprehensive enough.
Does BS sleep reduce energy consumption?
However, the existing energy conservation technologies, such as traditional BS sleep strategy, rarely consider the dynamic real-time changes of users (UEs), which may make it difficult to maximize sleep idle or lightly loaded BSs, thereby affecting the reduction of BS energy consumption.
Can a bi-level optimization model maximize the benefits of base station energy storage?
To maximize overall benefits for the investors and operators of base station energy storage, we proposed a bi-level optimization model for the operation of the energy storage, and the planning of 5G base stations considering the sleep mechanism.
1) When the base station is in active state, its power loss Pactive consists of transmitting power Ptx and inherent power Pfix. With an increase in the communication load of the acer station, the corresponding transmitting power Ptx increases linearly.
How do BS sleep decisions work?
Considering the dynamic changes of traffic, made BS sleep decisions by estimating the number of UEs served by BSs, and then proposed a QoS-based user association algorithm to effectively associate BSs with UEs under the premise of ensuring the QoS of UEs, thereby saving system energy consumption.