Theoretical Analysis of Power Saving in Cognitive Radio With Arbitrary Inputs


In orthogonal frequency-division multiplexing (OFDM)-based cognitive radio (CR) systems, power optimization algorithms are evaluated to maximize the achievable knowledge rates of the secondary user (SU). But, unrealistic assumptions are made in the present work, i.e., a Gaussian input distribution and ancient interference model that assumes a frequency-division multiplexing modulated primary user (PU) with perfect synchronization between the PU and also the SU. During this paper, we tend to 1st derive a practical interference model by assuming OFDM modulated PU with imperfect synchronization. Primarily based on the new interference model, the facility optimization downside is proposed for the finite symbol alphabet (FSA) input distribution [i.e., -ary quadrature amplitude modulation (M-QAM)] , as used in sensible systems. The proposed scheme is shown to save lots of transmit power and to achieve higher knowledge rates compared with the Gaussian optimized power allocation and therefore the uniform power loading schemes. Furthermore, a theoretical framework is established in this paper to estimate the facility saving by evaluating optimal power allocation for the Gaussian and the FSA input. Our theoretical analysis is verified by simulations and is proven to be accurate. It provides steering for the system design and offers deeper insights into the choice of parameters affecting power saving and rate improvement.

Did you like this research project?

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

PROJECT TITLE :Cost-Optimal Caching for D2D Networks With User Mobility: Modeling, Analysis, and Computational Approaches - 2018ABSTRACT:Caching well-liked files at the user equipments (UEs) provides an efficient way to alleviate
PROJECT TITLE :Design, Analysis, and Implementation of ARPKI: An Attack-Resilient Public-Key Infrastructure - 2018ABSTRACT:This Transport Layer Security (TLS) Public-Key Infrastructure (PKI) is based on a weakest-link security
PROJECT TITLE : On Oblivious Neighbor Discovery in Distributed Wireless Networks With Directional Antennas: Theoretical Foundation and Algorithm Design - 2017 ABSTRACT: Neighbor discovery, one in all the foremost elementary
PROJECT TITLE : Spectral Ensemble Clustering via Weighted K-means: Theoretical and Practical Evidence - 2017 ABSTRACT: As a promising approach for heterogeneous data analytics, consensus clustering has attracted increasing
PROJECT TITLE : Theoretical analysis of penalized Maximumlikelihood patlak parametric image Reconstruction in dynamic pet for lesion detection - 2016 ABSTRACT: Detecting cancerous lesions may be a major clinical application

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

Project Enquiry