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 cooperatio...
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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 precodingtechnique with other precodingtechniques. 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.
We propose a linear precoding technique, called multiuser generalized eigenmode transmission (MGET), based on the leakage-based precodingtechnique. A signal-to-leakage-plus-noise (SLNR) precoding scheme is one approa...
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ISBN:
(纸本)9781424480166
We propose a linear precoding technique, called multiuser generalized eigenmode transmission (MGET), based on the leakage-based precodingtechnique. A signal-to-leakage-plus-noise (SLNR) precoding scheme is one approach for linearprecoding in the multiple-input multiple-output broadcast channel that sends multiple data streams to different users in the same cell. Unfortunately, SLNR-based scheme neglects other-cell interference, which limits the performance of users at the edge of the cell. MGET addresses the shortcomings of previous SLNR-based beamformers by transmitting to each user on one or more eigenmodes chosen using a greedy algorithm as well as presenting an interference-aware enhancement to SLNR precoding scheme that uses a whitening filter for interference suppression at the receiver and a novel precoder using the interference-plus-noise covariance matrix for each user at the transmitter. We consider the typical sum-power constraint (SPC). Numerical results show that the proposed MGET technique outperforms previous lineartechniques.
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