The week's pick
Reseach Article
Throughput Maximization for NOMA based Cognitive IOT Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 11 |
| Year of Publication: 2022 |
| Authors: Ankita Chouhan, Rahul Maheshwari |
10.5120/ijca2022922076
|
Ankita Chouhan, Rahul Maheshwari . Throughput Maximization for NOMA based Cognitive IOT Systems. International Journal of Computer Applications. 184, 11 ( May 2022), 5-9. DOI=10.5120/ijca2022922076
Abstract
Internet of Things (IoT) is an ecosystem of connected physical objects such as sensors, vehicles, electronic equipment's etc. that are accessible through the internet. With increasing number of users, large data being generated and limited bandwidth available for IoT macro-cells, efficient multiplexing techniques are needed that use the available bandwidth efficiently. Non-Orthogonal Multiple access is a technique in which multiple users data is separated in the power domain and it is one of the most effective multiplexing techniques. The major challenges with NOMA based IoT networks are decreasing throughput with increasing path loss factor, increase in throughput with increased power levels but reduced battery life of IoTDs and BER degradation for far or weak users. In the proposed approach NOMA along with successive interference cancellation and zero forcing equalization is proposed. It has been shown that proposed approach attains higher throughput compared to existing techniques and a very low BER value.
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