Location Aware Beamforming in Millimeter-Wave Band Ultra-Dense Radio Access Networks. Part 1. Model of Two Links

Author:

Fokin G.1ORCID

Affiliation:

1. The Bonch-Bruevich Saint Petersburg State University of Telecommunications

Abstract

The evolution of 1G to 4G radio access networks (RANs) over the past 40 years has shown that beamforming (BF) capabilities add an additional spatial dimension to traditional device multiplexing methods. When base stations (gNodeB - gNB) and user equipment (UE) form narrow antenna radiation patterns (APPs), in addition to frequency, time and code division of channels, an additional spatial dimension appears that implements spatial multiplexing. This concept has been known for quite a long time, but the full implementation of its capabilities in practice is expected with the widespread adoption of millimeter wave (mmWave) ultra-dense networks (UDN) of the fifth (5G) and subsequent (B5G) generations. To control APP, the approach of preliminary analysis of training sequences about the current situation in the radio channel  - CSI (Channel State Information) - can be used, but its overhead costs become unacceptably high in conditions of ultra-dense distribution of devices. An alternative approach is positioning-based BF. The validity, relevance and prospects of this approach are determined by the fact that for 5G networks, unlike previous generations, for the first time the requirements for UE positioning accuracy up to one meter are formalized. Initial research in the field of location-aware BF has already been carried out over the past years, however, mainly for particular scenarios of one or more radio links between gNBs and fixed UEs. In this work, for the first time, a scientifically based methodology for controlling the beam pattern of a stationary gNB based on the positioning of a mobile UE for a two-radio link scenario is formalized and implemented in software. The problem of practical implementation of BF is the difficulties to predict level of interference due to the mutual influence of radio links with mobile UEs. When estimating the instantaneous signal-to-interference ratio in a two-radio link scenario between two fixed gNBs that perform BF based on the current location of mobile UEs as they move, it is necessary to take into account the mutual influence of each other's radio links on each other. In such a scenario, a transmitter on one radio link acts both as a source of a wanted signal for one UE and as a source of an interfering signal for another UE. The task of assessing interference for such a scenario is complicated by the nonlinearity of the transmitter and/or receiver ARPs. The model developed and implemented in software in this work uses the functions of the Phased Array System Toolbox Matlab extension package. The simulation results show a significant scatter (tens of dB) of the instantaneous signal-to-interference ratio depending on the territorial separation of devices and can be used to justify scenarios for the construction and operation of 5G/B5G UDN.

Publisher

Bonch-Bruevich State University of Telecommunications

Reference60 articles.

1. Fokin G.A. Concept of Location-Aware Beamforming in 5G Networks. Vestnik Ssviazy. 2022;10:1‒7.

2. Russian Science Foundation. Location aware beamforming in mm-wave band ultra-dense radio access networks. URL: https://rscf.ru/en/project/22-29-00528 [Accessed 10.09.2023]

3. Fokin G.A., Koucheryavy A.E. Network positioning in the 5G ecosystem. Electrosvyaz. 2020;9:51‒58. DOI:10.34832/ELSV. 2020.10.9.006

4. Fokin G.A. Utilization of Network Positioning Methods in the 5G Ecosystem. Elektrosvyaz. 2020;11:29‒37. DOI:10.34832/ ELSV.2020.12.11.002

5. Fokin G.A. A Set of Models and Methods for Positioning Devices in Fifth-Generation Networks. D.Sc Thesis. St. Petersburg: The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Publ.; 2021. 499 p.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Noise Immunity of Binary Chirp Signals;Proceedings of Telecommunication Universities;2024-05-04

2. Location Aware Beamforming in Millimeter-Wave Band Ultra-Dense Radio Access Networks. Part 2. Model of a Set of Radio Links;Proceedings of Telecommunication Universities;2023-11-14

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