Mehdi Izadi - Electrical Engineering and Information Technology Department, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
Gholamreza Farahani - Electrical Engineering and Information Technology Department, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
Gholamreza Mohammadkhani - Electrical Engineering and Information Technology Department Iranian Research Organization for Science and Technology (IROST), Tehran, Iran

One of the critical issues in broadband wireless access is the channel estimation problem. Efficient channel estimation leads to spectrally efficient wireless communications. The main parts of channel estimation are the features of the fast time change, the presence of noise, and the identification of network structure based on MIMO-OFDM or NOMA. Optimizing Quality of Service (QoS) criteria, including throughput, Bit Error Rate (BER), delay and NimaX, and Mean Square Error (MSE) during routing, as well as improving energy consumption, reducing interference and overlapping along with reducing noise and congestion are listed as the main targets of channel estimation. In this article, an attempt has been made to review and evaluate the latest methods and techniques of channel estimation in all types of wireless networks, including Wireless Sensor Networks (WSNs), wireless mesh networks, Internet of Things (IoT) networks, etc. based on MIMO-OFDM or NOMA. Finally, an optimal channel estimation for the TV broadcasting system is proposed. The results show that the proposed method has effectively improved the QoS criteria such as MSE, Signal to Noise Ratio (SNR), and Peak Signal to Noise Ratio (PSNR).

Channel Estimation, MIMO-OFDM, NOMA, Wireless Networks, IoT, Adaptive Neuro-Fuzzy Inference System (ANFIS), SNR