Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment

Halbouni, Asmaa Hani and Abdul Ghani, Muhammad Afiq and Habaebi, Mohamed Hadi (2021) Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment. In: 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Bandung, Indonesia.

	PDF Restricted to Repository staff only Download (639kB) | Request a copy
	PDF (SCOPUS) - Supplemental Material Restricted to Registered users only Download (366kB) | Request a copy

Abstract

Internet of Things as known as IoT is a network pointing to a series of interconnected devices that are communicating with each other. M2M communication protocol is integral part of IoT to allowing multiple devices to communicate smoothly. Aloha-NOMA for ambient backscatter M2M communication can provide high throughput matched with low complexity of Aloha-NOMA while leveraging on the low power and cost of ambient backscatter communication links. This paper critically studies the application of Aloha- NOMA for backscatter M2M communication utilizing multichannel and random power levels. In this paper, multichannel Aloha-NOMA throughput analysis had been done in order to observe the impact of adding sub channels. Throughput increased directly proportional as number of sub channels. Then, Aloha-NOMA performances are compared against Ambient Backscatter Aloha-NOMA in which more channels on the line with backscatter channels. Results indicate the combination of random power levels selection with random frequency channel selection yields significant throughput improvement.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	Aloha-NOMA, Backscatter, multiple hypothesis testing, multichannel, IoT M2M communication
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	14 Sep 2021 16:14
Last Modified:	07 Oct 2021 08:42
URI:	http://irep.iium.edu.my/id/eprint/92207

Actions (login required)

View Item