• DocumentCode
    1782433
  • Title

    Evaluation of digital baseband modulation schemes for molecular communication in nanonetworks

  • Author

    Lin Lin ; Chengfeng Yang ; Jiandong Wang ; Shiwei Ma

  • Author_Institution
    Dept. of Autom., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    8-11 July 2014
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    Molecular communications and nanonetworks become a popular and promising research direction recently. It uses molecules as the carrier to transmit information between nanomachines. Since the molecular communication is a novel communication paradigm, the communication principles and theories of it need to be re-considered and re-evaluated. In this paper, we describe four digital baseband modulation schemes for molecular communication systems, which modulate digital signals into the concentration of molecules. These modulation methods, including unipolar, polar, bipolar and Manchester methods, are investigated. The influences of the parameters such as symbol rate, distance, diffusion coefficient, are evaluated. The numerical results reveal that Manchester modulation scheme outperforms others in terms of bit error rate.
  • Keywords
    diffusion; error statistics; modulation; molecular communication (telecommunication); nanotechnology; signal processing; Manchester methods; Manchester modulation scheme; bipolar modulation methods; bit error rate; diffusion coefficient; digital baseband modulation schemes; digital signals; molecular communication systems; nanomachines; nanonetworks; symbol rate; unipolar modulation methods; Baseband; Bit error rate; Demodulation; Molecular communication; Nanobioscience; Receivers; digital baseband modulation; line code; molecular communication; nanonetworks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICUFN.2014.6876800
  • Filename
    6876800