caa a22 4500 606190163 CHVBK 20210128100854.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10776-015-0283-y doi (NATIONALLICENCE)springer-10.1007/s10776-015-0283-y An Efficient Multi-carrier Resource Allocation with User Discrimination Framework for 5G Wireless Systems [Elektronische Daten] [Haya Shajaiah, Ahmed Abdelhadi, Charles Clancy] In this paper, we present an efficient resource allocation with user discrimination framework for 5G Wireless Systems to allocate multiple carriers resources among users with elastic and inelastic traffic. Each application running on the user equipment (UE) is assigned an application utility function. In the proposed model, different classes of user groups are considered and users are partitioned into different groups based on the carriers coverage area. Each user has a minimum required application rate based on its class and the type of its application. Our objective is to allocate multiple carriers resources optimally among users, that belong to different classes, located within the carriers' coverage area. We use a utility proportional fairness approach in the utility percentage of the application running on the UE. Each user is guaranteed a minimum quality of service with a priority criterion that is based on user's class and the type of application running on the UE. In addition, we prove the existence of optimal solutions for the proposed resource allocation optimization problem and present a multi-carrier resource allocation with user discrimination algorithm. Finally, we present simulation results for the performance of the proposed algorithm. Springer Science+Business Media New York, 2015 Multi-carrier resource allocation nationallicence User discrimination nationallicence Utility proportional fairness nationallicence Minimum required application rate nationallicence Shajaiah Haya Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut Abdelhadi Ahmed Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut Clancy Charles Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/4(2015-12-01), 345-356 1068-9605 22:4<345 2015 22 10776 https://doi.org/10.1007/s10776-015-0283-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10776-015-0283-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shajaiah Haya Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut NATIONALLICENCE 700 1- Abdelhadi Ahmed Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut NATIONALLICENCE 700 1- Clancy Charles Hume Center for National Security and Technology, Virginia Tech, 22203, Arlington, VA, USA aut NATIONALLICENCE 773 0- International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/4(2015-12-01), 345-356 1068-9605 22:4<345 2015 22 10776