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Throughput Measurement and Estimation Model for Concurrent Communications of Multiple Raspberry Pi Access-Points in Wireless Local-Area Network

Mousumi Saha 1, Rahardhita Widyatra Sudibyo1, Nobuo Funabiki 1, Minoru Kuribayashi1, Sumon Kumar Debnath1, Wen-Chung Kao2
1. Department of Electrical and Communication Engineering, Okayama University, Okayama, Japan
2. Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
Abstract—Recently, Raspberry Pi has become popular around the world as an inexpensive, small, and powerful computing device. We have studied its use as the software access-point (AP) for the IEEE 802.11n wireless local-area network (WLAN), where the channel bonding (CB) can increase the throughput by bonding two channels into one. However, the built-in wireless network interface card (NIC) adapter fails to support the CB. Thus, we have configured the CB using external NIC adapters, and investigated the throughput performance and estimation model for only one link between a PC host and a Raspberry Pi AP. In this paper, we present the throughput measurement for concurrent communications of multiple links with up to three APs under different adapters and channels with 11 and 13 partially overlapping channels (POCs) at 2.4GHz. Besides, we extend the throughput estimation model by introducing the throughput drop factor to consider interferences between the links. This factor can be derived from the CB use and the assigned channels for the links. The effectiveness of the proposal is verified by comparing the estimated throughput with the measured one.


Index Terms—IEEE 802.11n, access point, Raspberry Pi, channel bonding, concurrent communication, throughput estimation model.

Cite: Mousumi Saha, Rahardhita Widyatra Sudibyo, Nobuo Funabiki, Minoru Kuribayashi, Sumon Kumar Debnath, and Wen-Chung Kao, “Throughput Measurement and Estimation Model for Concurrent Communications of Multiple Raspberry Pi Access-Points in Wireless Local-Area Network,” Journal of Communications vol. 14, no. 11, pp. 1000-1016, 2019. Doi: 10.12720/jcm.14.11.1009-1016.
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