  A whole suite of innovative technologies and architectures have emerged in
response to the rapid growth of wireless traffic. This paper studies an
integrated network design that boosts system capacity through cooperation
between wireless access points (APs) and a satellite for enhancing the
network's spectral efficiency. We first mathematically derive an achievable
throughput expression for the uplink (UL) data transmission over spatially
correlated Rician channels. Our generic achievable throughput expression is
applicable for arbitrary received signal detection techniques under realistic
imperfect channel estimates. A closed-form expression is then obtained for the
ergodic UL data throughput when maximum ratio combining is utilized for
detecting the desired signals. As for our resource allocation contributions, we
formulate the max-min fairness and total transmit power optimization problems
relying on the channel statistics for performing power allocation. The solution
of each optimization problem is derived in form of a low-complexity iterative
design, in which each data power variable is updated relying on a closed-form
expression. Our integrated hybrid network concept allows users to be served
that may not otherwise be accommodated due to the excessive data demands. The
algorithms proposed to allow us to address the congestion issues appearing when
at least one user is served at a rate below the target. The mathematical
analysis is also illustrated with the aid of our numerical results that show
the added benefits of considering the space links in terms of improving the
ergodic data throughput. Furthermore, the proposed algorithms smoothly
circumvent any potential congestion, especially in face of high rate
requirements and weak channel conditions.
