Multi-objective Antenna Selection in a Full Duplex Base Station
Mohammad Lari, Sina Asaeian

TL;DR
This paper introduces a multi-objective antenna selection method for full-duplex base stations that balances interference reduction with uplink and downlink performance, improving throughput over traditional single-objective methods.
Contribution
It proposes a novel multi-objective optimization criterion for antenna selection in full-duplex systems, enhancing spectral efficiency and interference management.
Findings
Higher throughput compared to single-objective methods
Effective reduction of self-interference while maintaining uplink and downlink performance
Multi-objective criterion outperforms conventional antenna selection techniques
Abstract
The use of full-duplex (FD) communication systems is a new way to increase spectral efficiency. For this reason, it has received serious attention in the new generation of wireless communication systems. The main challenge of FD systems is self-interference that needs to be reduced appropriately. In this paper, we have considered an FD multi-antenna base station in a cellular network and we have used the antenna selection technique to resolve the self-interference issue. We have also provided a new criterion to select an appropriate antenna. In this new criterion, the antenna selection is modeled as a multi-objective optimization problem. Here, the antennas which simultaneously minimizes interference channel gain and maximizes uplink (UL) and downlink (DL) channel gains are selected for transmission and reception. The base station has to perform well in both the UL and DL and reduce the…
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