Uplink Power Control in Integrated Access and Backhaul Networks
Paper in proceeding, 2021

Integrated access and backhaul (IAB) network is a novel radio access network (RAN) solution, enabling network densification for 5G and beyond. In this paper, we use power control combined with resource allocation algorithms to develop efficient IAB networks with high service coverage. Particularly, we develop a genetic algorithm-based solution for the power control of both user equipments and IAB nodes such that the network uplink service coverage probability is maximized. Finally, considering millimeter wave channel models, we study the effect of different parameters including minimum data rate requirement, coverage distance and transmit power on the network performance. As we show, a power allocation scheme with well-tuned parameters can improve the uplink performance of IAB networks considerably. Moreover, with millimeter wave communications and a proper network deployment, the effect of interference on the service coverage probability is negligible.

Interference.

uplink

Integrated access and backhaul

Machine learning

genetic algorithm

service coverage probability

power control

5G NR

IAB

TDD

3GPP

Author

Olalekan Peter Adare

Chalmers

Haitham Babbili

Chalmers

Charitha Madapatha Madapathage Don

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Behrooz Makki

Ericsson

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021


978-1-6654-1339-8 (ISBN)

IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Los Angeles, USA,

A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )

European Commission (EC) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.

Subject Categories

Computer Engineering

Telecommunications

Communication Systems

Areas of Advance

Information and Communication Technology

DOI

10.1109/DySPAN53946.2021.9677384

ISBN

9781665413398

More information

Latest update

4/21/2023