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A whole suite of innovative technologies and architectures have emerged inresponse to the rapid growth of wireless traffic. This paper studies anintegrated network design that boosts system capacity through cooperationbetween wireless access points (APs) and a satellite for enhancing thenetwork's spectral efficiency. We first mathematically derive an achievablethroughput expression for the uplink (UL) data transmission over spatiallycorrelated Rician channels. Our generic achievable throughput expression isapplicable for arbitrary received signal detection techniques under realisticimperfect channel estimates. A closed-form expression is then obtained for theergodic UL data throughput when maximum ratio combining is utilized fordetecting the desired signals. As for our resource allocation contributions, weformulate the max-min fairness and total transmit power optimization problemsrelying on the channel statistics for performing power allocation. The solutionof each optimization problem is derived in form of a low-complexity iterativedesign, in which each data power variable is updated relying on a closed-formexpression. Our integrated hybrid network concept allows users to be servedthat may not otherwise be accommodated due to the excessive data demands. Thealgorithms proposed to allow us to address the congestion issues appearing whenat least one user is served at a rate below the target. The mathematicalanalysis is also illustrated with the aid of our numerical results that showthe added benefits of considering the space links in terms of improving theergodic data throughput. Furthermore, the proposed algorithms smoothlycircumvent any potential congestion, especially in face of high raterequirements and weak channel conditions.

Space-Terrestrial Cooperation Over Spatially Correlated Channels Relying on Imperfect Channel Estimates: Uplink Performance Analysis and Optimization