Self-Interference Assessment and Mitigation in 3GPP IAB Deployments
Sadovaya, Yekaterina; Moltchanov, Dmitri; Nikopour, Hosein; Yeh, Shu Ping; Mao, Wei; Orhan, Oner; Talwar, Shilpa; Andreev, Sergey (2021-08-06)
Sadovaya, Yekaterina
Moltchanov, Dmitri
Nikopour, Hosein
Yeh, Shu Ping
Mao, Wei
Orhan, Oner
Talwar, Shilpa
Andreev, Sergey
IEEE
06.08.2021
ICC 2021 - IEEE International Conference on Communications, Proceedings
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202112219454
https://urn.fi/URN:NBN:fi:tuni-202112219454
Kuvaus
Peer reviewed
Tiivistelmä
The high propagation losses and sensitivity to link blockage naturally require dense deployments of millimeter-wave (mmWave) 5G New Radio (NR) systems. One of the inherent challenges in these deployments is cost-efficient backhauling. Addressing this issue, 3GPP has recently proposed the concept of integrated access and backhaul (IAB) to reduce the deployment costs by enabling wireless backhaul. The efficient utilization of spectrum in these systems is conditional on the ability of IAB nodes to simultaneously receive signals on their sectoral antennas. In this paper, we investigate the interference caused by this functionality and identify countermeasures including angular and spatial diversities. Our numerical results demonstrate that the angular distance of 25° between the user equipment (UE) served by adjacent sectoral antennas is sufficient to efficiently mitigate interference. A comparable reduction in the interference level can also be achieved by utilizing spatial diversity with antenna separation of at least 20 m. By combining these methods, one can identify the target levels of angular and spatial diversities suitable for the particular deployment restrictions.
Kokoelmat
- TUNICRIS-julkaisut [16983]