Συντάχθηκε 27-09-2012 11:05
από Galateia Malandraki
Email συντάκτη: gmalandraki<στο>tuc.gr
Ενημερώθηκε:
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Ιδιότητα: υπάλληλος ΑΡΜΗΧ.
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Τμήμα Ηλεκτρονικών Μηχανικών & Μηχανικών Υπολογιστών
ΠΑΡΟΥΣΙΑΣΗ ΔΙΠΛΩΜΑΤΙΚΗΣ ΕΡΓΑΣΙΑΣ
Κωνσταντίνος Αλεξανδρής
με θέμα
“Κατανεμημένος Σχηματισμός Δέσμης με Μηδενική Ανάδραση για Ασύρματες Επικοινωνίες Έκτακτης Ανάγκης”
“Distributed Zero-Feedback Beamforming for Emergency Radio”
Δευτέρα 1 Οκτωβρίου 2012, 5μμ
Αίθουσα 2041, Κτίριο Επιστημών, Πολυτεχνειούπολη
Εξεταστική Επιτροπή
Επ. Καθ. Άγγελος Μπλέτσας (επιβλέπων)
Επ. Καθ. Γεώργιος Καρυστινός
Καθ. Αθανάσιος Λιάβας
Abstract
Ubiquitous wireless sensor networks (WSNs) have emerged as an important research theme in wireless communication and networking. Distributed transmit beamforming, applied in WSNs, exploits cooperative transmission from two or more distributed transceivers, such that the phases of their transmitted signals align and offer a constructive gain towards the intended destination receiver. Several distributed beamforming techniques for boosting signal power are based on channel state information (CSI) or feedback (from the receiver) availability at the distributed transmitters or ability to access the transmitter radio module for carrier phase adjustments. Contrary to prior art, this thesis considers no CSI availability, no receiver-based feedback and low-cost commodity, off-the-self WSN radios. Two concrete non-coherent receivers for zero-feedback beamforming are presented. The first near-optimal non-coherent receiver exploits zero-feedback (i.e. blind), constructive, distributed signal alignment after repetitive transmission, while the second one is based on maximum likelihood (ML) and exploits diversity. Analysis and simulation bit-error-rate (BER) results are demonstrated. The two proposed receivers could alleviate network partitioning problems and could be easily implemented by low-cost commodity radio hardware.
Συνημμένα:
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Thesis_announcement_Alexandris.doc
Μεταφορτώσεις: 163,
Μέγεθος: 43 KB application/msword
