Molecular Code Division Multiple Access: Gaussian Mixture Modeling

dc.contributor.authorZamiri-Jafarian, Yeganehen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.contributor.supervisorGazor, Saeeden
dc.date2016-04-19 11:22:10.551
dc.date.accessioned2016-04-19T20:35:22Z
dc.date.available2016-04-19T20:35:22Z
dc.date.issued2016-04-19
dc.degree.grantorQueen's University at Kingstonen
dc.descriptionThesis (Master, Electrical & Computer Engineering) -- Queen's University, 2016-04-19 11:22:10.551en
dc.description.abstractCommunications between nano-devices is an emerging research field in nanotechnology. Molecular Communication (MC), which is a bio-inspired paradigm, is a promising technique for communication in nano-network. In MC, molecules are administered to exchange information among nano-devices. Due to the nature of molecular signals, traditional communication methods can’t be directly applied to the MC framework. The objective of this thesis is to present novel diffusion-based MC methods when multi nano-devices communicate with each other in the same environment. A new channel model and detection technique along with a molecular-based access method, are proposed in here for communication between asynchronous users. In this work, the received molecular signal is modeled as a Gaussian mixture distribution when the MC system undergoes Brownian noise and inter-symbol interference (ISI). This novel approach demonstrates a suitable modeling for diffusion-based MC system. Using the proposed Gaussian mixture model, a simple receiver is designed by minimizing the error probability. To determine an optimum detection threshold, an iterative algorithm is derived which minimizes a linear approximation of the error probability function. Also, a memory-based receiver is proposed to improve the performance of the MC system by considering previously detected symbols in obtaining the threshold value. Numerical evaluations reveal that theoretical analysis of the bit error rate (BER) performance based on the Gaussian mixture model match simulation results very closely. Furthermore, in this thesis, molecular code division multiple access (MCDMA) is proposed to overcome the inter-user interference (IUI) caused by asynchronous users communicating in a shared propagation environment. Based on the selected molecular codes, a chip detection scheme with an adaptable threshold value is developed for the MCDMA system when the proposed Gaussian mixture model is considered. Results indicate that the MCDMA system is a promising approach to reduce interference created by asynchronous nodes in multi-user MC systems. Meanwhile, the receiver is modified by exploiting previously detected chips to eliminate the ISI. The performance evaluations via computer simulations show that the memory-based receiver, which considers previously detected chips in detection procedure, outperforms the memory-less receiver.en
dc.description.degreeM.A.Sc.en
dc.identifier.urihttp://hdl.handle.net/1974/14233
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsCreative Commons - Attribution - CC BYen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectNano-Networkingen
dc.subjectMolecular Communication (MC)en
dc.subjectGaussian Mixture Modelingen
dc.subjectMCDMAen
dc.titleMolecular Code Division Multiple Access: Gaussian Mixture Modelingen
dc.typethesisen
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