My current research primarily focuses on mobility management procedures for 5G networks. With 5G networks stated to be exceptionally heterogeneous and dense, legacy mobility management procedures will be rendered ineffective. Henceforth, new perspectives and methodologies need to be developed for mobility management in future networks.
As part of this objective, in 2017, I published a paper titled “Mobility Management as a Service for 5G Networks” wherein the idea of having a mechanism that can provision sufficient flexibility in handling mobility events has been envisioned. Precisely, since the future networks will have devices with different applications with vastly varied QoS requirements as well as with different mobility profiles, a mechanism that is adaptive and can be provisioned on-demand will be the need of the hour.
An important aspect of mobility management are the handovers. Handovers empower the network to provision ubiquitous connectivity to the users. However, to execute this functionality, significant amount of messages are exchanged between the various core network entities. This might be understood as passing of instructions between the various network entities to ensure that a user moving from one radio tower to another does not lose connectivity. While the current state of the art maybe suffice the needs of 4G LTE and other legacy networks, future network scenarios will require more optimized signaling procedures. Here optimality entails metrics such as transmission cost, processing cost and latency. Henceforth, in order to address the aforementioned issue, I published a research article titled “Evolutionary 4G/5G network architecture assisted efficient handover signaling” in 2018.
Another aspect of mobility management is the association of users to access points. While traditional methods involve utilizing only the received signal strength/quality parameter, future MM strategies will necessitate that other parameters are also considered in conjunction when assigning an access point. This will help ensure that the requested QoS is provisioned as well as the issue of frequent handovers is avoided. And so, taking cognizance of these issues the current research effort is to devise optimal user association strategies.