TY - JOUR
T1 - Linear precoder design for base station energy cooperation in DC microgrids
AU - Islam, Shama Naz
AU - Mahmud, Md Apel
AU - Saha, Sajeeb
AU - Haque, Md Enamul
N1 - Funding Information:
This research was supported by Deakin School of Engineering Small Grant Scheme 2018.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - In this study, the energy data transfer problem in a DC microgrid with multiple renewable powered base stations (BSs) is considered. These BSs can share the renewable generation among each other. The energy cooperation is optimised by the control unit. For effective energy cooperation, energy data needs to be transferred from BSs to the control unit with low latency and high reliability. For cellular enabled microgrid communication, the energy data exchange and cellular communication both use the same communication resources. Thus, there will be interference at the control unit and cellular user (CU), which degrades the reliability of energy data transfer. To solve this problem, a linear precoding technique is designed to minimise the mean square error of the desired messages at the control unit, BSs, and CU while the interferences are kept at a predefined level. For the designed precoders, the expressions of signal-to-interference-plus-noise ratio are formulated and the error performance is analysed. Numerical simulation has been performed to compare the considered precoding technique with other precoding techniques. The simulation results demonstrate that optimum precoding can improve the error performance at the control unit, BSs, and CU by 1, 5, and 3 dB, respectively.
AB - In this study, the energy data transfer problem in a DC microgrid with multiple renewable powered base stations (BSs) is considered. These BSs can share the renewable generation among each other. The energy cooperation is optimised by the control unit. For effective energy cooperation, energy data needs to be transferred from BSs to the control unit with low latency and high reliability. For cellular enabled microgrid communication, the energy data exchange and cellular communication both use the same communication resources. Thus, there will be interference at the control unit and cellular user (CU), which degrades the reliability of energy data transfer. To solve this problem, a linear precoding technique is designed to minimise the mean square error of the desired messages at the control unit, BSs, and CU while the interferences are kept at a predefined level. For the designed precoders, the expressions of signal-to-interference-plus-noise ratio are formulated and the error performance is analysed. Numerical simulation has been performed to compare the considered precoding technique with other precoding techniques. The simulation results demonstrate that optimum precoding can improve the error performance at the control unit, BSs, and CU by 1, 5, and 3 dB, respectively.
KW - noise figure 1.0 dB
KW - noise figure 3.0 dB
KW - noise figure 5.0 dB
KW - considered precoding technique
KW - designed precoders
KW - linear precoding technique
KW - cellular communication
KW - energy data exchange
KW - cellular enabled microgrid communication
KW - energy generation/consumption data
KW - effective energy cooperation
KW - different BSs
KW - control unit
KW - share
KW - renewable generation
KW - intermittent renewable energy
KW - energy surplus/deficit
KW - energy storage
KW - supply
KW - multiple renewable powered base stations
KW - energy data transfer problem
KW - DC microgrid
KW - base station energy cooperation
KW - linear precoder design
KW - energy management systems
KW - optimisation
KW - distributed power generation
KW - renewable energy sources
KW - MIMO communication
KW - cellular radio
KW - wireless channels
KW - precoding
UR - http://www.scopus.com/inward/record.url?scp=85065240711&partnerID=8YFLogxK
U2 - 10.1049/iet-rpg.2018.5624
DO - 10.1049/iet-rpg.2018.5624
M3 - Article
AN - SCOPUS:85065240711
VL - 13
SP - 1076
EP - 1086
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
SN - 1752-1416
IS - 7
ER -