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Handoff Scheme for 5G Mobile Networks Based on Markovian Queuing Model
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Wireless and mobile communication systems are in continuous evolution every day. The fifth generation (5G) is the next major phase of the mobile telecommunication and wireless system which aims to improve Quality of Service (QoS) and integrate human-to-machine and machine-to-human communications. In 5G mobile networks, mobility and small coverage areas are the biggest challenges for mobile users. Mobile users may not have the time required to acquire network resources to transfer from one cell to another, resulting in a large number of handoff failures. In this paper, we propose a handoff scheme for the 5G mobile network to minimize the probability of handoff failures using Markovian queuing model. We use the ECC33 channel propagation model to calculate the received signal strength (RSS) of the different users to decide the handoff users. We evaluate system performance based on blocking probability, overall system delay, and overall system throughput. The results of the proposed system model give a better QoS in the system and significantly affect the system performance.
Title: Handoff Scheme for 5G Mobile Networks Based on Markovian Queuing Model
Description:
Wireless and mobile communication systems are in continuous evolution every day.
The fifth generation (5G) is the next major phase of the mobile telecommunication and wireless system which aims to improve Quality of Service (QoS) and integrate human-to-machine and machine-to-human communications.
In 5G mobile networks, mobility and small coverage areas are the biggest challenges for mobile users.
Mobile users may not have the time required to acquire network resources to transfer from one cell to another, resulting in a large number of handoff failures.
In this paper, we propose a handoff scheme for the 5G mobile network to minimize the probability of handoff failures using Markovian queuing model.
We use the ECC33 channel propagation model to calculate the received signal strength (RSS) of the different users to decide the handoff users.
We evaluate system performance based on blocking probability, overall system delay, and overall system throughput.
The results of the proposed system model give a better QoS in the system and significantly affect the system performance.
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