Abstract
A cloud-based terrestrial-satellite network (CTSN) is conceived for supporting ubiquitous high-speed multimedia services. In the CTSN, the satellite and terrestrial base stations are connected to a cloud-computing based centralized processor (CP), where joint user scheduling and multicast beamforming are performed based on realistic imperfect channel state information (CSI). Specifically, pilot-assisted channel estimation is assumed. Then, we propose a successive convex approximation (SCA) based algorithm for generating the beamforming vectors at the CP, where specific quality of service (QoS) constraints are considered. In the proposed algorithm, the beamforming vectors are obtained by iteratively solving a convex optimization problem subject to tight convex constraints. We demonstrate that feasible solutions can be obtained by our algorithm, even for the case when the system's dimension is large. Both analytical and numerical results are provided for characterizing the performance of the CTSN. Our results qualify the tradeoff between the cooperation-aided multiantenna gain and the pilot overhead imposed by training the beamformers. Furthermore, the achievable rate of the CTSN is shown to be substantially eroded by the accuracy of CSI.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.