  In this paper, a novel approach for optimizing the joint deployment of small
cell base stations and wireless backhaul links is proposed. This joint
deployment scenario is cast as a multi-objective optimization problem under the
constraints of limited backhaul capacity and outage probability. To address the
problem,a novel adaptive algorithm that integrates $\epsilon$-method,
Lagrangian relaxation and tabu search is proposed to obtain the Pareto optimal
solution set. Simulation results show that the proposed algorithm is quite
effective in finding the optimal solutions. The proposed joint deployment model
can be used for planning small cell networks.
