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.
Published Version
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