| How to improve spectrum utilization and reduce energy consumption has become a research hotspot in the current wireless communication field.Multiple Input and Multiple Output(MIMO)technology can increase channel capacity without increasing transmission power and bandwidth,effectively improving spectrum utilization.At the same time,antenna selection technology can be applied in MIMO systems to not only take advantage of the spatial diversity and spatial multiplexing of the MIMO system but also reduce its hardware complexity.In addition,Energy Harvesting(EH)technology makes it possible for wireless communication systems to sustainably self-power by collecting solar energy,wind energy,radio frequency energy,etc.This technology alleviates the energy consumption pressure of wireless networks and is conducive to the development of green communication.Based on this,antenna selection can be performed in MIMO systems with EH capabilities to allow different antennas to transmit data and collect energy separately,which is different from the traditional antenna selection technology used only for data transmission in MIMO systems.However,research on data and energy antenna selection in EH-MIMO communication systems is currently not perfect and needs further exploration.Therefore,considering the actual multi-user communication scenario,this paper conducts research on the data and energy antenna selection problem in multi-user EH-MIMO communication systems,as follows:(1)To investigate the problem of how to allocate antennas for both data transmission and energy harvesting in downlink multi-user EH-MIMO communication systems,this paper proposes a data and energy antenna selection method that balances the transmission rates of different users while achieving high-speed transmission rates.This method introduces antenna selection weight coefficients based on the single-user data and energy antenna selection,which can ensure high-speed transmission in EH-MIMO systems while balancing the transmission rates of different users,improving the user experience and enhancing the overall communication performance of the system.Simulation results show that compared with the greedy antenna selection method that maximizes the system channel capacity,the proposed multi-user data and energy antenna selection method achieves an optimal system channel capacity that is close to the greedy antenna selection method and has significant advantages in balancing the transmission rates of different users,achieving effective cooperation between EHMIMO data and energy.(2)To extend the above method to cooperative communication systems,this paper establishes a downlink multi-user EH-MIMO cooperative communication system model consisting of a source node(base station),EH relay node,and multiple destination nodes(users)based on the multi-user EH-MIMO cooperative communication scenario.In order to reduce the complexity of the antenna selection method,a "reverse" data and energy antenna selection method is designed based on the method studied in(1).Considering the limited nature of the relay node’s ability to transmit signals to users and collect energy,this method first selects the relay node’s data and energy antennas on the second time slot link(i.e.,the link from the relay node to the destination node),and then selects the source node’s data and energy antennas on the first time slot link(i.e.,the link from the source node to the relay node)after determining the relay node’s data and energy antenna combination.This achieves the "reverse" data and energy antenna selection for the relay link.Simulation results show that compared to the PSR method in the Simultaneous Wireless Information and Power Transfer(SWIPT)mode,the "reverse" data and energy antenna selection method designed in this paper has advantages in system channel capacity,and can effectively balance the communication performance of each user,improving the user experience of the multi-user cooperative communication system. |
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