User Association Performance Trade-Offs in Integrated RF/mmWave/THz Communications

Noha Hassan (), Xavier Fernando, Isaac Woungang and Alagan Anpalagan
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Noha Hassan: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, OT 66777, Canada
Xavier Fernando: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, OT 66777, Canada
Isaac Woungang: Department of Computer Science, Toronto Metropolitan University, Toronto, OT 66777, Canada
Alagan Anpalagan: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, OT 66777, Canada

Future Internet, 2023, vol. 15, issue 12, 1-20

Abstract: In combination with the expected traffic avalanche foreseen for the next decade, solutions supporting energy-efficient, scalable and flexible network operations are essential. Considering the myriad of user case requirements, THz and mmW bands will play key roles in 6G networks. While mmW is known for short-rate LOS connections, THz transmission is subjected to even severe propagation losses, resulting in very short-range connections. In this context, we evaluate a dynamic multi-band user association algorithm to optimize connectivity in coexisting RF/mmW/THz networks. The algorithm periodically calculates association scores for each user–base station pair based on real-time channel conditions across bands, accounting for factors like signal strength, link blockage risk and noise. It then reassociates users in batches to balance loads while considering user priorities and network conditions. We simulate the algorithm’s performance within a realistic propagation model, where high path loss, molecular absorption, blockage, and narrow beam widths contribute to lower coverage at higher frequencies. Results demonstrate the algorithm’s ability to efficiently utilize network resources across diverse operating environments. In addition, our results show that the choice of frequency band depends on the specific requirements of the application, the environment, and the trade-offs between coverage distance, capacity, and interference conditions.

Keywords: coverage probability; SINR distribution; user association; millimeter wave; terahertz; 6G wireless networks (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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