In this paper we study a mobility-aware call admission control algorithm in a mobile hotspot. To this end, a vehicle is considered which has an access point with a fixed capacity. The vehicle alternates between stop and moving phases. When the vehicle is in the stop phase, it services new and handover calls by prioritizing them via a probabilistic bandwidth reservation (BR) policy. Based on this policy, new handover calls may enter the reservation space with a predefined probability. When the vehicle is in the moving phase, it services new calls only. In that phase, two different policies are considered: (a) the classical complete sharing (CS) policy, where new calls are accepted in the system whenever there exists available bandwidth, and (b) the probabilistic BR policy. Depending on the selected policy in the moving phase, we propose the probabilistic BR loss model (if the CS policy is selected) and the generalized probabilistic BR loss model (if the probabilistic BR policy is selected). In both stop and moving phases, where the call arrival process is Poisson, calls require a single bandwidth unit in order to be accepted in the system, while the service time is exponentially distributed. To analytically determine call blocking probabilities and the system’s utilization, we propose efficient iterative algorithms based on two-dimensional Markov chains. The accuracy of the proposed algorithms is verified via simulation.

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6G networks are envisioned as the key enabler for the intelligent information society of the next decade, targeting to achieve improved performance and satisfy demanding services and applications. This transition from the fifth generation requires novel and efficient approaches in the network design and network management domains that are able to achieve vital key performance indicators related to network densification, network throughput, positioning accuracy, energy efficiency. Cell-free networking is considered as a promising candidate for 6G, as it combines the advantages of distributed systems and massive number of antennas, thus being able to significantly improve the wireless transmission efficiency and provide better coverage. In this paper, we present a simulation study of a cell-free based 6G network that jointly considers the utilization of the communication resources at the radio edge and at the fronthaul. The proposed study considers various techniques for the allocation of the resources at the two network segments, targeting to reduce the case where bandwidth compression (due to unavailability of resources) occur. The evaluation of the proposed solutions reveals that the application of a threshold policy may be beneficial for the end-users in terms of lower bandwidth compression rate.

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