Long Term Evolution (LTE), the standard specified by 3GPP on the way towards the fourth generation mobile networks, is intended to deliver high speed data and multimedia services to next generation mobile users. The Radio Resource Management (RRM) plays a very crucial role in managing limited radio resources to enhance system's data rate and to ensure quality of service (QoS) provisioning in both uplink and downlink. LTE downlink scheduling is a RRM entity that is responsible for the allocation of shared radio resources among mobile user equipment (UEs). One of the challenges that need to be addressed in downlink scheduling algorithms is to provide higher spectral efficiency with fairness ensured to all its users. This paper proposes a novel downlink scheduling algorithm which balances its performance between efficiency (in terms of throughput) and fairness to users. The algorithm makes use of Assignment Model for resource allocation to all the selected users during each Transmission Time Interval (TTI). The proposed algorithm is simulated and the simulation results are compared with three techniques proposed in literature. The simulator results show that the new algorithm balances well between throughput and fairness.

In 4G-domain multi home mobile host (MH) will have access to different wireless networks. In this 4G wireless networks real time applications are initiated to support services like VOIP, videoconference. These applications use RTP over UDP. These protocols are unresponsive to congestion events. Our proposed congestion management scheme minimizes congestion level in 4G domains using coalition game. Its main objective is to decide target networks for handoff with minimum congestion level. Our mechanism is based on the coalition game formation. It aims at maximizing the utilization of the resources available and meeting QoS requirement of users as much as possible. This will reduce congestion level with vertical handoff initiation.