Wireless network virtualization is emerging as a potential game-changer for fifth-generation wireless networks. Virtualization of network resources (e.g., infrastructure and spectrum) brings several advantages. One key advantage is that various network operators can robustly share their virtualized network resources to extend coverage, increase capacity, and reduce costs. However, inherent features of wireless communications, e.g., the uncertainty in user equipment locations and channel conditions, impose significant challenges on virtualization and sharing of the network resources. In this context, we propose a novel three-layered virtualization framework, based on a matching game model and stochastic resource allocation. Our proposed architecture aims at guaranteeing user satisfaction and maximizing the revenue for operators, with reasonable computational complexity, and affordable network overhead.
In wireless communication, low propagation delay and low power requirements of satellite are key requirements which makes low earth orbit (LEO) satellite preferable over others. Over the years a plenty of researches had been done in this field of satellite handover management, but the problem remains unsolved. One such method is the reservation of a few channels specifically for handover calls. One demerit of this scheme is that not all channels are available for allocation of new calls, leading to an increase in new call blocking probability. Also this scheme may lead to unnecessary reservation of channels for handover even when the number of handovers is very small. During such a period the reserved channels could have been used for allocation of new calls. So, in this paper we are going to propose a new Neighbour Location Based Channel Reservation scheme for efficient utilization of resources (channels) in handover and new channel allocation in LEO Satellite communication. In this scheme, we are reserving few channels in each spot beam especially for handoff based on the number of mobile stations in neighbour locations and the average handover call arrival rate. In the simulation, this approach reduces the unnecessary complexity and unnecessary reservation of resources (channels) which in turn reduces the complexity of the communication network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.