Beamforming Allocation and Backhaul Capacity Allocation for Integrated Access and Backhaul Networks

Abstract

In this paper, we consider beamforming vector allocation and backhaul link capacity allocation in millimeter wave (mmWave) integrated access and backhaul (IAB) networks. We consider out-of-band backhaul and each base station (BS) has a Line-of-Sight (LoS) probability. We then derive a sum ergodic capacity using stochastic geometry. We also formulate the sum ergodic capacity maximization problem subject to the beamforming vector and backhaul link capacity allocations of the macro base station (MBS). Then, we show the optimization problem is a convex problem, and hence, we obtain a global optimal solution for our optimization problem using the Karush-Kuhn-Tucker (KKT) condition. Finally, from numerical simulation, we show that the proposed solutions achieve higher sum ergodic capacity than baseline schemes. We also explore the impacts of a backhaul-access bandwidth partitioning ratio and a density of small base stations (SBSs).