Autonomous modulation identification With hamming encoding technique Implemented for sdr

Abstract

Integrated and differentiated services necessitate the transmission of data using the best modulation technique chosen among the various modulation techniques available The newlineselection is based on the various QoS requirements This research emphasizes on the design newlineand implementation of receiver nodes that can automatically identify the modulation technique and demodulate the received data This includes using a pilot sequence in identifying the modulation scheme chosen The other important issue considered in this work is error detection and correction to ensure the reliability of the data The research work uses hardware modules that append the header to the data modulate them using an optimal modulation technique and encode them using an error correction encoding technique at the transmitter At the receiver the hardware is designed to automatically detect the type of modulation used and perform Hamming decoding to retrieve the original data The work includes the study of placement of nodes in different communication schemes such as Synchronous Asynchronous and Slotted time communications The results prove the flexible nature of proposed work to handle various communication schemes maintain uniform Signal to Interference SIR ratio and study the different trade offs between data rate and mobility Frequency tracking and time slot tracking with scheduler based implementation is also presented and the results obtained with the scheduler algorithm shows how priority is used in the time slots by different nodes to perform guaranteed time slot communication newlineAmount of information is calculated from features of each sample taken from modulation signals Channel estimation is also performed in this work to identify the perfect channel for the particular modulation through which the transmission path can be established in case the location of the dynamic nodes change frequently Additionally this work deals with the shortest path calculation using node tracking algorithm which enables to find the location newlineof the dynamic node Node clustering is proposed to provide stable and competent newlineestablishment for the incorporation of different types of traffic in dynamic radio networks newlineResults for various parameters are obtained to analyze jitter caused by variable end to end newlinedelay of data packets at destination Analysis of some performance metrics such as co channel interference adjacent channel interference number of channels supporting frequency based modulation and time slot based modulation and capacity of users are involved in this work Also the density of overlay nodes and their variable level of participation in multicast algorithm are analyzed to enable the reduction of message overhead accordingly Energy saving calculation and effective bandwidth efficiency is carried out to show the improvement of adaptive modulation over conventional modulation which is a very important factor for reconfigurable connectivity discussed in this work newline