Mitigating X2‐AP interface cost using quantum teleportation

Abstract

Many problems in cellular communications cannot be solved classically. Due to its robustness, quantum computing can enrich the classical with other dimensions, security and cryptic‐natured. However, the awareness about how to fully bridge the classical and quantum communications is not fully realised. In other words, the quantum phenomena are not totally utilised within the classical dimension. This work rather discusses directions and evaluations for future quantum solutions to traditional cloud mobile networks. Particularly, using quantum correlation phenomena to enhance the performance of X2 application protocol (X2‐AP) by reducing the signalling overhead regarding the delay and power consumption that classical cloud encounter. Through modelling the latency of both paradigms using ‘MATLAB’, this work promises a delay reduction when adapting quantum method into the cloud. This study also models the power consumption and energy efficiency of traditional and quantum‐based cloud networks. This work also shows, via modelling the power consumption, that installing a quantum‐based paradigm is not a power costly method; rather, it shows identical power and energy efficiency figures with a possibility of improvement.

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

“…The suggested method involves leveraging entanglement to facilitate the exchange of load balancing signalling information amongst the servers using photons as shown in Fig 2 . Traditionally, the act of signalling between servers has been associated with significant costs in terms of PC and time [55]. Therefore, the suggested quantum approach provides a progressive means of information sharing across servers.…”

On the quality of service of next generation green networks

“…Consequently, a contribution to the unbidden crisis of global warming has been assured [4]. There are many advances targeted towards improving the network's quality of service (QoS), such as optimising the allocation of resources [5], cognitive radio techniques, networks' cloudification [6], quantum communications [7], energy harvesting techniques [8][9][10], network virtualisation [11], discrete transmission [12], switching off the base stations [13,14] and machine to machine communications [15]. These techniques may reduce the consumed/ transmitted power; nevertheless, they depend on the fossil-based power grid that harms the environment.…”