  Integrated access and backhaul (IAB) network is envisioned as a novel network
architecture for increasing the network capacity and coverage. To facilitate
the IAB network, the appropriate methods of wireless link association and
resource management are required. In this paper, we investigate the joint
optimization problem of association and resource allocation in terms of
subchannel and power for IAB network. In particular, we handle the association
and resource allocation problems for wireless backhaul and access links
considering multi-hop backhauling. Since the optimization problem for IAB
network is formulated as a mixed integer non-linear programming (MINLP), we
divide it into three subproblems for association, subchannel allocation, and
power allocation, respectively, and these subproblems are solved alternatively
to obtain a local optimal solution. For the association problem, we adopt the
Lagrangian duality approach to configure the backhaul and access links and
successive convex approximation (SCA) approach is used to solve the subchannel
and power allocation problems efficiently. Simulation results demonstrate that
the proposed algorithm achieves better performance than single-hop backhauling
based network and enhances the capacity and coverage by configuring the
multi-hop backhauling.
