Abstract
In this paper, adaptive user selection for opportunistic multicast scheduling (A-OMS) is proposed to improve cellular network throughput. Unlike previous solutions, the number of users selected in each transmission time interval (TTI) is not considered to be a constant. A statistical approximation of the system throughput matrix is employed to choose the number of users in each TTI. This matrix is constructed once before transmission begins, so the computational complexity is low. An optimization problem is formulated to obtain the optimal user time allocations. Both an exhaustive search and a suboptimal heuristic search are considered. Results are presented which show that the proposed approach provides better performance than existing schemes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
