Optimizing Air-borne Network-in-a-box Deployment for Efficient Remote Coverage

Javed, Sidrah; Alouini, Mohamed-Slim; Wang, Cheng-Xiang

Abstract

Among many envisaged drivers for sixth generation (6G), one is from the United Nation's Sustainability Development Goals 2030 to eliminate digital inequality. Remote coverage in sparsely populated areas, difficult terrains or emergency scenarios requires on-demand access and flexible deployment with minimal capex and opex. In this context, network-in-a-box (NIB) is an exciting solution which packs the whole wireless network into a single portable and re-configurable box to support multiple access technologies such as WiFi/2G/3G/4G/5G etc. In this paper, we propose low-altitude platform station (LAPS) based NIBs with stratospheric high-altitude platform station high-altitude platform station (HAPS) as backhaul. Specifically, backhaul employs non-orthogonal multiple access (NOMA) with superposition coding at the transmitting HAPS and successive interference cancellation (SIC) at the receiving NIBs, whereas the access link (AL) employs superposition coding along with the regularized zero-forcing (RZF) precoding at the NIB in order to elevate the computational overhead from the ground users. The required number of airborne NIBs to serve a desired coverage area, their optimal placement, user association, beam optimization , and resource allocation are optimized by maximizing the sum-rate of the AL while maintaining the quality of service. Our findings reveal the significance of thorough system planning and communication parameters optimization for enhanced system performance and best coverage under limited resources. Index Terms-HAPS, non-orthogonal multiple access, network-in-a-box, unmanned aerial vehicles, and 6G.

Citation

Javed, S., Alouini, M.-S., & Wang, C.-X. (online). Optimizing Air-borne Network-in-a-box Deployment for Efficient Remote Coverage. IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2024.3455439

• Journal Article Type: Article
• Acceptance Date: Aug 26, 2024
• Online Publication Date: Sep 6, 2024
• Deposit Date: Sep 2, 2024
• Publicly Available Date: Oct 2, 2024
• Journal: IEEE Internet of Things Journal
• Electronic ISSN: 2327-4662
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/JIOT.2024.3455439
• Public URL: https://durham-repository.worktribe.com/output/2782451