A Dynamic Replication Scheme of User Plane Data over Lossy Backhaul Links 5G networks are characterized by strict latency, iitter and reliability requirements. On the other hand, a lossy backhaul scenario where high packet losses over the backhaul transmission medium can render backhaul links unavailable for service consumption. This necessities a multitransmission scheme over backhaul using the existing resources of the operators such as base stations and core networks. This can enhance reliability for 5G backhaul networks to meet the requirements of new 5G services that have strict endtoend latency requirements. In this paper, we propose a GPRS Tunnelling Protocol User Plane (GTPU) Protocol Data Unit (PDU) multitransmission scheme that achieves improved Transmission Control Protocol (TCP) latency and packet loss probability at the expense of higher resource (bandwidth) utilization compared to existing traditional systems. The scheme can use several measuring mechanisms such as continuous TwoWay Active Measurement Protocol (TWAMP) testing between core network and base stations, GTPU user plane echo requestsreplies or backhaul quality testing during evolved Packet System Radio Access Bearer (eRAB) establishment phase. This mechanism can also be applied to X2 interface between base stations to reduce the service latency and improve the backhaul link performance. Our simulation results using ns3 indicate that by applying the proposed strategy in backhaul systems, the application level packet loss and TCP delay can be improved at the expense of the bandwidth improvement at certain drop or loss levels.

Dynamic Multipath Resource Management for Ultra Reliable Low Latency Services One of the core novel features of 5G networks is the support of ultrareliable low latency communications (URLLC). This will pave the way for a plethora of mission critical applications in diverse sectors including health, security, gaming, and manufacturing, among others, through guaranteed premium grade reliability and delay; yet, this requires the development of innovative mechanisms that can address the existing challenges. In this work, we focus on the simultaneous utilization of multiple paths via different wireless interfaces and networks in order to deliver data from source to destination in a timely manner and with high reliability. We formulate the problem as a mixed integer program and generate an optimized strategy to efficiently utilize the resources among the different paths. Simulation results are presented for various scenarios to quantify performance gains with respect to other alternative approaches.