Paper Info
Title
Joint Synchronization and Symbol Detection Design for Pulse-Based Communications in the THz Band.
Abstract
Ongoing research in graphene-based nanotransceivers and nano-antennas points to the Terahertz (THz) band (0.1-10 THz) as the communication frequency range for nano-devices. Femtosecond-long pulse-based modulation schemes have been proposed to enable ultra-broadband communication among nano-devices. One of the main challenges with ultrahigh- speed pulse-based communications is the need for tight symbol synchronization between transmitter and receiver. In this paper, a synchronization scheme for pulse-based THz-band communications is designed and analyzed. The proposed scheme is aimed at iteratively estimating the symbol start time and reducing the observation window length for the symbol detector. The proposed scheme is fully analog and can be implemented with a combination of voltage-controlled delay (VCD) lines and Continuous-Time Moving-Average (CTMA) symbol detectors. Closed form expressions are obtained for the number of preamble symbols needed to achieve synchronization as well as the maximum number of bits that can be transmitted before requiring re-synchronization in the presence of clock skew. Similarly, the symbol error rate of the CTMA receiver is analytically modeled as a function of the resulting observation window length. Finally, the synchronization and symbol detection impact on the achievable throughput is studied. The developed scheme is experimentally tested with measured THz pulses and its performance is numerically investigated. The results show how the proposed scheme can successfully estimate the symbol start time and minimize the symbol error rate with less than ten synchronization preamble bits.
Year
DOI
Venue
2015
10.1109/GLOCOM.2015.7417747
IEEE Global Communications Conference
Field
DocType
ISSN
Transmitter,Synchronization,Preamble,Telecommunications,Symbol rate,Computer science,Real-time computing,Modulation,Electronic engineering,Clock skew,Throughput,Detector
Conference
2334-0983
Citations 
PageRank 
References 
7
0.48
7
Authors
3
Name
Order
Citations
PageRank
Ajeya Gupta170.48
Michael J. Medley233726.06
Josep Miquel Jornet31547117.15