Full duplex communication by means of backscattering modulation
Abstract
The demand of high speed data is increasing day by day and hence wireless communication is getting popular. Nowadays we are using data through wireless communication for different aspect such as voice data, internet using, IP television and video conference. Due to high volume of downstream data the network is becoming more asymmetric. To accommodate this high volume of data researchers are working on different aspect. One of the key strategies is to make the wireless communication full duplex which till now is working as half duplex. Theoretically, making a wireless communication full duplex will double the channel capacity and hence it will open a new horizon of wireless communication system. In order to make the communication system full duplex we face a strong problem of self interference which basically contaminates the whole data signal. So we work to and an efficient way to get rid of the self interference and implement a successful full duplex system. In this thesis, we propose a design for full-duplex wireless communication system, based on backscatter modulation (BM) that is able to efficiently accommodate high downlink traffic. We consider two nodes that wish to exchange data over wireless additive white Gaussian noise with Rayleigh fading channel. Within this framework the end user receives self-interference free signal. The specific objectives of our research are to investigate a model of full-duplex wireless communication system by means of reflected power based on backscatter modulation (BM) where electromagnetic waves are modulated, amplified and reflected by the same antenna that receives them. Also to analyze the performance for using modulation impedance for guarantying sufficient power for the demodulator while exhibiting maximal difference in the backscattered field. In order to do so we design a framework to find out the optimized value of the modulation load for different scheme.
Degree
M.S.E.C.E.
Advisors
Smida, Purdue University.
Subject Area
Electrical engineering
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