Accordingly, the computational burden at the energy access point is greatly reduced due to the use of this distributed strategy. Under this strategy, the time-averaged expected energy consumption of WPCN can be within a bounded gap of the minimum energy required to maintain stability of the network.
The channel bandwidth B allocated by the user is 1 MHz, the upper limit of the BS's traffic processing capacity L max is 10 4 Mbps, and the traffic demand L j of a single user is 100 Mbps. The detailed parameters of the BS energy storage are shown in Table 1. ω is taken as small as 0.14 Yuan/kWh to encourage energy storage participation.
In most existing results, the energy/data transmission of WPCNs is based on the ideal battery models and the energy storage efficiencies therein are always assumed to be non-zero constants.
Afterward, a collaborative optimal operation model of power distribution and communication networks is designed to fully explore the operation flexibility of 5G base stations, and then an improved distributed algorithm based on the ADMM is developed to achieve the collaborative optimization equilibrium.
The backup time of the BS energy storage should be set according to the power supply reliability of the distribution network where BS is connected. For example, in areas with high power supply reliability, the backup time of energy storage can be reduced. Fig. 3. Schematic diagram of energy storage capacity division of BS.
In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G base stations considering communication load demand migration and energy storage dynamic backup is established.
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