My Account | Careers | Downloads | Blog

PROJECT TITLE :

Analysis of effect of high-power amplifier modelling on the performance of orthogonal frequency division multiplexing transceiver for wireless Communications

ABSTRACT:

This study presents an exact theoretical analysis of performance degradation in OFDMsystem when the signal including phase noise is passed through a dynamic non-linear circuit such as HPA. The HPA is modelled using a memory polynomial model. The theoretical analysis shows that the detected data symbol at the receiver include common phase error, intersubcarrier interference and intermodulation components. The analytical expressions for intermodulation term are derived using combinatorial methods. Using the derived expressions, a closed form SNR at the output, degradation factor and hence, the probability of error can be evaluated theoretically. The results show that when the OFDM signal with phase noise passes through dynamic non-linear circuit, the phase noise expansion occurs. This expansion is related to the memory length of non-linear device and causes higher degradation in OFDM signal. By use of this exact analysis, designers can choose optimum parameters and operating point of HPA for a desired performance of OFDM transceiver. This reduces energy consumption. To verify the accuracy of the analysis, a comparison between the theoretical and simulated results is presented. The comparison shows that the BER of analytical results closely matches with the simulation results of the OFDM system.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry