Analytical framework for throughput enhancement in BLE extended advertising with packet chaining

Kumar Baghel, L, Shan, G, Kanjo, E ORCID: https://orcid.org/0000-0002-1720-0661 and Roh, B-H, 2025. Analytical framework for throughput enhancement in BLE extended advertising with packet chaining. IEEE Wireless Communications Letters. ISSN 2162-2337

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Abstract

Bluetooth Low Energy (BLE) 5.x introduced extended advertising with packet chaining for high-throughput BLE-based IoT applications. However, achieving maximal throughput in BLE largely depends on the selection of transmission parameters, such as packet size and the number of chained packets. Therefore, determining the optimal packet size and the number of chained packets is crucial. However, this task is challenging due to the nonlinearity of the problem. To date, none of the existing works have focused on determining the optimal values for these parameters. To address the aforementioned bottlenecks, we first develop a comprehensive analytical framework to model throughput. Based on this framework, we derive simplified closed-form analytical expressions to choose the transmission parameters optimally, ensuring maximal throughput. Additionally, we develop an algorithm that autonomously optimizes transmission parameters based on network configuration. Analytical results demonstrate that the proposed framework significantly improves throughput compared to conventional approaches. The accuracy of our analytical model is validated through simulations, demonstrating strong agreement with the analytical results.

Item Type:	Journal article
Publication Title:	IEEE Wireless Communications Letters
Creators:	Kumar Baghel, L., Shan, G., Kanjo, E. and Roh, B.-H.
Publisher:	Institute of Electrical and Electronics Engineers
Date:	30 July 2025
ISSN:	2162-2337
Identifiers:	Number Type 10.1109/LWC.2025.3593940 DOI 2477259 Other
Rights:	© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Borcherds
Date Added:	07 Aug 2025 13:08
Last Modified:	07 Aug 2025 13:08
URI:	https://irep.ntu.ac.uk/id/eprint/54139

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