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The evolvement of wireless communication services concurs with significantgrowth in data traffic, thereby inflicting stringent requirements onterrestrial networks. This work invigorates a novel connectivity solution thatintegrates aerial and terrestrial communications with a cloud-enabledhigh-altitude platform station (HAPS) to promote an equitable connectivitylandscape. Consider a cloud-enabled HAPS connected to both terrestrialbase-stations and hot-air balloons via a data-sharing fronthauling strategy.The paper then assumes that both the terrestrial base-stations and the hot-airballoons are grouped into disjoint clusters to serve the aerial and terrestrialusers in a coordinated fashion. The work then focuses on finding theuser-to-transmitter scheduling and the associated beamforming policies in thedownlink direction of cloud-enabled HAPS systems by maximizing two differentobjectives, namely, the sum-rate and sum-of-log of the long-term average rate,both subject to limited transmit power and finite fronthaul capacity. The paperproposes solving the two non-convex discrete and continuous optimizationproblems using numerical iterative optimization algorithms. The proposedalgorithms rely on well-chosen convexification and approximation steps, namely,fractional programming and sparse beamforming via re-weighted $\ell_0$-normapproximation. The numerical results outline the yielded gain illustratedthrough equitable access service in crowded and unserved areas, and showcasethe numerical benefits stemming from the proposed cloud-enabled HAPScoordination of hot-air balloons and terrestrial base-stations fordemocratizing connectivity and empowering the digital inclusion framework.

Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks