In the 5G transport network, the router has some limitations in traffic engineering. In response to the diverse needs of the 5G mobile network, the SDN-enabled framework is introduced, which collects network topology information in a centralized way and analyzes network information for network path computation. In this paper, we proposed an SDN-enabled framework that is capable to provide resilient traffic routing for 5G application requirements. To verify the framework, we simulated a production scale network topology as input. Then, we leveraged K-Shortest Path Algorithm using different constraints to experiment the flexible traffic routing.

Because of the 5G diverse service needs, a centralized Software-Defined Networking (SDN) Controller in 5G backhaul networks is introduced for collecting network statuses and providing intelligent path computation and central service configuration. This paper will discuss the key technologies of the SDN controller for 5G backhaul networks. By using the centralized SDN controller, the end-to-end path can be specified or dynamically adjusted to meet the requirements of 5G multiple services.

The 3GPP long term evolution (LTE) system is developed to enhance mobile services from the former 3G systems. In order to prolong the battery life time of mobile devices, the discontinuous reception (DRX) scheme is specified in the LTE standard to reduce the power consumption of user equipment. Existing analytical models did not comprehensively consider all essential sleep mode behaviors. Therefore, a performance analysis, including major DRX parameters is proposed in this paper for sleep mode operation. The correctness of proposed model is validated and the improvement can be observed via simulations. Furthermore, according to proposed analytical model, the DRX parameters can significantly influence the power-saving efficiency and quality-of-service (QoS) of LTE system. Hence, a traffic-based DRX cycles adjustment (TDCA) scheme is proposed to adaptively adjust the sleep cycles to balance the sleep ratio and mean packet delay based on traffic estimation. A partially observable Markov decision process is employed to conjecture the present traffic status. The policy for selecting DRX parameters can be constructed-based the evaluation metrics in TDCA scheme. Simulation results show that the proposed TDCA scheme can enhance the energy-saving efficiency while the QoS constraint is still satisfied.

The 3GPP long term evolution (LTE) standard is developed to enhance mobile services from the former 3G systems. In order to prolong the battery life of mobile device, a novel discontinuous reception (DRX) scheme is specified in the standard to reduce the power consumption of a user equipment. In this paper, a traffic-based DRX cycles adjustment (TDCA) scheme is proposed to enhance the energy saving performance based on existing DRX operation. A partially observable Markov decision process (POMDP) is employed to conjecture the present traffic status. Optimal policy for the selection of DRX parameters can be obtained via the POMDP framework in the proposed TDCA scheme. Simulation results show that the TDCA scheme can enhance the energy saving efficiency while the quality-of-service constraint is still satisfied.