Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment
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 ca...
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my.iium.irep.922072021-10-07T00:42:23Z http://irep.iium.edu.my/92207/ Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment Halbouni, Asmaa Hani Abdul Ghani, Muhammad Afiq Habaebi, Mohamed Hadi TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2021-09-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/92207/1/92207_Aloha-NOMA%20for%20Ambient%20Backscatter%20M2M%20Communication.pdf application/pdf en http://irep.iium.edu.my/92207/7/92207_Aloha-NOMA%20for%20Ambient%20Backscatter%20M2M%20Communication%20in%20IoT%20Networks%20with%20Random%20Power%20Levels_Scopus.pdf 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. https://ieeexplore.ieee.org/abstract/document/9525940?casa_token=8vmTzDHhBfIAAAAA:EofhVZL3Ovb9nEl9xRhUZR5jdovoji_x6WD0MYOCzYN7qdHbKwkNN8qEaQBPaHIEyirQecxiMg 10.1109/ICSIMA50015.2021.9525940 |
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TK Electrical engineering. Electronics Nuclear engineering Halbouni, Asmaa Hani Abdul Ghani, Muhammad Afiq Habaebi, Mohamed Hadi Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
description |
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. |
format |
Conference or Workshop Item |
author |
Halbouni, Asmaa Hani Abdul Ghani, Muhammad Afiq Habaebi, Mohamed Hadi |
author_facet |
Halbouni, Asmaa Hani Abdul Ghani, Muhammad Afiq Habaebi, Mohamed Hadi |
author_sort |
Halbouni, Asmaa Hani |
title |
Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
title_short |
Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
title_full |
Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
title_fullStr |
Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
title_full_unstemmed |
Aloha-NOMA for Ambient Backscatter M2M Communication in IoT Networks with Random Power Levels and Frequency Channel Assignment |
title_sort |
aloha-noma for ambient backscatter m2m communication in iot networks with random power levels and frequency channel assignment |
publisher |
IEEE |
publishDate |
2021 |
url |
http://irep.iium.edu.my/92207/1/92207_Aloha-NOMA%20for%20Ambient%20Backscatter%20M2M%20Communication.pdf http://irep.iium.edu.my/92207/7/92207_Aloha-NOMA%20for%20Ambient%20Backscatter%20M2M%20Communication%20in%20IoT%20Networks%20with%20Random%20Power%20Levels_Scopus.pdf http://irep.iium.edu.my/92207/ https://ieeexplore.ieee.org/abstract/document/9525940?casa_token=8vmTzDHhBfIAAAAA:EofhVZL3Ovb9nEl9xRhUZR5jdovoji_x6WD0MYOCzYN7qdHbKwkNN8qEaQBPaHIEyirQecxiMg |
_version_ |
1713199547302281216 |
score |
13.244404 |