Abstract
The expected manifolds increase in the traffic and the massive number of connected Internet of Things (IoT) devices would be a challenge to ensure a certain Quality of Service (QoS) in Beyond 5G (B5G) networks. Due to the increased availability of processing and energy resources and heterogeneous QoS requirements in modern IoT nodes, a client-centric access device selection approach for QoS provisioning in multiple Radio Access Technologies (RATs) scenario is proposed in this paper. The proposed algorithm provides the ability to specify node-specific QoS requirements at each node, a better access device selection, and improved network scalability. For experimental evaluation, a hybrid indoor network consisting of Wireless Fidelity (WiFi) and Light Fidelity (LiFi) RATs has been considered. Experimental results show that the proposed technique outperforms several conventional client-based access device selection approaches by up to 32.66% in network emulation experiments and up to 50% in hardware experimentation. The contribution of this paper includes the proposed algorithm, its complexity and game-theory based convergence analyses, evaluation of the proposed algorithm using network emulation and hardware-based setups, and LiFi channel analysis. The analyses and results imply that the proposed algorithm could be utilized in next-generation IoT networks as it performs better than conventionally used access device selection techniques for QoS provisioning.
Highlights
As 5G networks roll-out globally, researchers have started to lay out plans for Beyond 5G (B5G) networks
There are client-based access device selection approaches presented in the literature, but not much consideration has been given to the massive number of devices expected in B5G Internet of Things (IoT) networks
Such client-based approaches use the same Quality of Service (QoS) parameters for all end devices, ignoring the heterogeneous QoS requirements of different IoT nodes. Another challenge for access device selection in B5G networks is posed by multiple Radio Access Technologies (RATs), including Wireless Fidelity (WiFi), 4G/LTE, 5G, and Bluetooth, etc
Summary
As 5G networks roll-out globally, researchers have started to lay out plans for Beyond 5G (B5G) networks. There are client-based access device selection approaches presented in the literature, but not much consideration has been given to the massive number of devices expected in B5G IoT networks Such client-based approaches use the same QoS parameters for all end devices, ignoring the heterogeneous QoS requirements of different IoT nodes. Another challenge for access device selection in B5G networks is posed by multiple Radio Access Technologies (RATs), including WiFi, 4G/LTE, 5G, and Bluetooth, etc. To address the challenges mentioned above, we have proposed a client-centric access device selection algorithm to provision QoS considering heterogeneous requirements of IoT nodes, multiple RATs, and multihoming.
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