Resource allocation using Nucleolus Value in downlink LTE networks

Abstract

The QoS (Quality of Service) requirements of real time (RT) applications are within the most important challenges that LTE (Long Term Evolution) must provide. However, due to the limited radio resources, it is important to take advantage of these resources efficiently. User traffic can be classified into two main classes which are RT (Real Time) and NRT traffic. To respond to RTs QoS requirements, resource allocation steps must be as optimal as possible. This paper proposes a scheduling algorithm in two levels based on cooperative game theory, aiming at improving performance and justice in the distribution of radio resources. Simulations demonstrate that the proposed algorithm improve the level of the system's QoS more effectively than other algorithms under the circumstance that guarantees users minimum QoS requirement.