IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
PREVIOUS PUBLICATIONS



IJTEEE >> Volume 3 - Issue 10, October 2015 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Analysis Of Multimode Radio For Wireless Comunication Applications

[Full Text]

 

AUTHOR(S)

Patil Amrit T., Bendre Pallavi G.

 

KEYWORDS

Keywords: Multimode Radio (MMR); Bit Error Rate (BER); BPSK; QPSK; MPSK;

 

ABSTRACT

ABSTRACT: A multimode radio communication technology that is based on software defined wireless communication protocols instead of hardware implementations. It means that, modulation technique, air interface protocol and functionality can be upgraded with software download and update instead of a total hardware substitution. It provides an efficient and protected solution to the difficulty of building multi-mode and multifunctional wireless communication devices. A multimode radio is able to being re-programmed or reconfigured to operate with different waveforms and protocols through dynamic loading of novel waveforms and protocols. These waveforms and protocols can contain several different parts, including modulation techniques and performance characteristics explained in software as part of the waveform itself. A multimode radio is mostly used basic digital modulation techniques. This is achieved by combining basic modulation techniques together. The global wireless communication application requires a flexible and updated radio system. A Multimode radio is steps towards future wireless communication technology.We have suggested a new multimode wireless radio. We have analyzed the performance of this new multimode radio. We have considered important performance metrics of multimode radio such as SNR, BER and signal constellation. This simulation is done by using the MATLAB.

 

REFERENCES

[1] Software Defined Radio Forum- http://www.sdrforum.org/public/approved/07

[2] Vanu Inc., “The Software Radio Solution to Public Safety Interoperability. http://www.vanu.com/publications/TheSRSolutiontoPublicSafety /

[3] Mitola, Joseph. (n.d.). Software Radio – Cognitive Radio: Wireless Architectures for the21st Century. http://ourworld.compuserve.com/homepages/jmitola/

[4] J. G. Proakis, Digital Communications, 3rd edition. New York: McGraw Hill, 1995.

[5] R. Prasad, Universal Personal Communications. Boston: Artech house, 1998.

[6] R. van Nee and R. Prasad, OFDM for Wireless Multimedia Communications. Boston: Artech House, 2000.

[7] O. Edfors, Low-complexity algorithms in digital receivers, Ph.D. Thesis, Luleå University of Technology, Sept. 1996.

[8] S. B. Weinstein and P. M. Ebert, “Data Transmission by Frequency-Division Multiplexing Using the Discrete Fourier Transform,” IEEE Trans. Commun. Techn., vol. COM-19, no. 5, pp. 628–634, Oct. 1971.

[9] [9] A. Peled and A. Ruiz, “Frequency Domain Data Transmission Using Reduced Computational Complexity Algorithms, “ in Proc. IEEE Int. Conf. Acoust. Speech, Signal Processing, Denver, CO, 1980, pp. 964–967.

[10] P. A. Bello, “Characterization of randomly time-variant linear channels,” IEEE Trans. on Commun. Systems, vol. CS-11, pp. 360–393, Dec. 1963.

[11] R. Steele, Mobile Radio Communications. New York: John Wiley & Sons, 1992.

[12] W. C. Jakes Jr., Microwave Mobile Communications. New York: John Wiley & Sons, 1974.

[13] X. Dong, T. T. Tjhung, and F. Adachi, “Error Probability Analysis for 16 STARQAM in Frequency-Selective Ricean Fading with Diversity Reception,” IEEE Trans. on Veh.Techol., vol. 47, no. 3, pp. 924–935, Aug. 1998