Kakkad, Yashraj, Patel, Dhaval K, Kavaiya, Sagar, Sun, Sumei and Lopez-Benitez, Miguel 
ORCID: 0000-0003-0526-6687
(2023)
Optimal 3GPP Fairness Parameters in 5G NR Unlicensed (NR-U) and WiFi Coexistence.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72 (4).
pp. 5373-5377.
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Abstract
The fifth-generation networks, designed to provide a better quality of service and spectrum utilization, are rapidly being deployed across the world. 3GPP has proposed a fairness criterion, referred to as '3GPP fairness,' for the coexistence of 5G New Radio in unlicensed spectrum (NR-U) and WiFi in Release 16. In this correspondence, we derive an analytical expression to determine if the 3GPP fairness is achieved in a given network configuration. We model achieving the 3GPP fairness as an optimization problem and show how to use Sequential Quadratic Programming to find the optimal 5G NR-U parameters from a pre-decided range. We test the optimizer in various conditions and inspect the effect of various parameters. Our results reveal that the optimizer is able to predict the best possible parameters for 3GPP fairness and therefore the proposed method proves useful for tuning 5G NR-U parameters during their coexistence with WiFi.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 3GPP fairness, 5G NR-U, coexistence, cellular, resource management, spectrum sharing, WiFi |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 26 Oct 2022 08:25 |
| Last Modified: | 17 Mar 2024 15:32 |
| DOI: | 10.1109/TVT.2022.3222964 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3165762 |
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