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dc.contributor.advisorKwon, Hyuck M.en_US
dc.contributor.authorXiong, Wenhaoen_US
dc.date.accessioned2010-09-01T15:12:15Z
dc.date.available2010-09-01T15:12:15Z
dc.date.issued2009-12en_US
dc.identifier.othert09085en_US
dc.identifier.urihttp://hdl.handle.net/10057/2526
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineeringen_US
dc.description.abstractPhysical-layer network coding (PNC) has been used as a high throughput technique in a relay when two users have no direct connections. However, it becomes difficult to separate the two different signals since they reach the relay simultaneously with the same modulation, e.g., binary phase shift keying (BPSK). The relay in a conventional PNC system demodulates the combined signal without separation, and sends the modulo-sum bit back to the users for their detection of the other user information bit. In this work, two orthogonal signals from two different users are transmitted and hence separated at the relay. This is abbreviated as OPNC. For example, user signals are modulated with sine and cosine waveforms at user 1 and 2, respectively. At the relay, the received signal is demodulated, separately, using two different correlation receivers; one is matched to the sine waveform and the other to the cosine waveform. Then, hard decision is made using correlator outputs to estimate the information bits from each user. Following that, a modulo-sum combined bit is modulated with BPSK and transmitted back to the users. Each user node is able to detect the other node bit information as the conventional PNC. Simulation and analytical results show that the proposed coherent OPNC is 3 dB better than the conventional coherent PNC, and 8 dB better than the conventional non-coherent PNC with continuous phase frequency shift keying.en_US
dc.format.extentvii, 24 p.en_US
dc.format.extent601739 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherWichita State Universityen_US
dc.titleOrthogonal physical layer network codingen_US
dc.typeThesisen_US


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