2020
DOI: 10.1109/access.2020.3037919
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Performance Analysis of Multi-Cell Full-Duplex Cellular Networks

Abstract: We analyze the performance of a cellular network, where Poisson point process distributed half-duplex (HD) downlink (DL) and uplink (UL) users are served by multiple full-duplex (FD) base stations (BSs). To address the surge in interference in the network due to the simultaneous operation in time and frequency of the FD BSs, we (a) adopt a self-interference cancellation scheme at each BS, and (b) apply linear interference alignment in each cell to cancel the intra-cell interference. Further, to better capture … Show more

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Cited by 4 publications
(2 citation statements)
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“…Moreover, while providing satisfactory service quality, MHCPP generates a lower density of gNBs than PPP, which avoids the high cost of wired connections. Although MHCPP has been applied to the modeling of UAVs [23], multi-cell IBFD cellular networks [24], and cloud radio access networks [25], to the best of our knowledge, this is the first study to introduce MHCPP into the analysis of multi-cell mmWave-IBFD-IAB networks.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, while providing satisfactory service quality, MHCPP generates a lower density of gNBs than PPP, which avoids the high cost of wired connections. Although MHCPP has been applied to the modeling of UAVs [23], multi-cell IBFD cellular networks [24], and cloud radio access networks [25], to the best of our knowledge, this is the first study to introduce MHCPP into the analysis of multi-cell mmWave-IBFD-IAB networks.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, while providing satisfactory service quality, MHCPP generates less density of gNBs than PPP, which avoids the high cost due to the wired connection. Although MHCPP has been applied for modeling unmanned aerial vehicles [17], multi-cell IBFD cellular networks [18], and cloud radio access networks [19], to our best knowledge, we are the first who introduce MHCPP into the analysis of multi-cell mmWave-IBFD-IAB networks.…”
Section: Introductionmentioning
confidence: 99%