
arXiv: 2407.15463
In this paper, we explore the problem of utilizing Integrated Access and Backhaul (IAB) technology in Non-Terrestrial Networks (NTN), with a particular focus on aerial access networks. We consider an Uncrewed Aerial Vehicle (UAV)-based wireless network comprised of two layers of UAVs: (a) a lower layer consisting a number of flying users and a UAV Base Station (BS) that provides coverage for terrestrial users and, (b) an upper layer designated to provide both wireless access for flying users and backhaul connectivity for UAV BS. By adopting IAB technology, the backhaul and access links collaboratively share their resources, enabling aerial backhauling and the utilization of the same infrastructure and frequency resources for access links. A sum-rate maximization problem is formulated by considering aerial backhaul constraints to optimally allocate the frequency spectrum between aerial and terrestrial networks. We decompose the resulting non-convex optimization problem into two sub-problems of beamforming and spectrum allocation and then propose efficient solutions for each. Numerical results in different scenarios yield insightful findings about the effectiveness of using the IAB technique in aerial networks.
Accepted for publication in IEEE Open Journal of the Communications Society
Signal Processing (eess.SP), FOS: Computer and information sciences, low altitude platform, IAB, Computer Science - Information Theory, Information Theory (cs.IT), TK5101-6720, Hybrid beamforming, integrated access and backhaul, LAP, Telecommunication, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Transportation and communications, successive convex approximation, HE1-9990
Signal Processing (eess.SP), FOS: Computer and information sciences, low altitude platform, IAB, Computer Science - Information Theory, Information Theory (cs.IT), TK5101-6720, Hybrid beamforming, integrated access and backhaul, LAP, Telecommunication, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Transportation and communications, successive convex approximation, HE1-9990
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