Tight Bounds on SINR with ZFBF and Feedback
||International Journal of Computer Trends and Technology (IJCTT)||
|© - November Issue 2013 by IJCTT Journal|
|Year of Publication : 2013|
|Authors :Burra Rekha , Sanjay Madupu|
Burra Rekha , Sanjay Madupu"Tight Bounds on SINR with ZFBF and Feedback"International Journal of Computer Trends and Technology (IJCTT),V5(4):160-169 November Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- the concept of Multiple Input Multiple Output (MIMO) is an advanced one in the field of wireless communications. The main objective behind the MIMO is providing high data rates to multiple users at a time. MIMO also aims to provide maximum channel gain, high degree of multiplexing, robust data rate and multi user diversity etc. however all these are effectively achieved by using the Channel State Information at Transmitter (CSIT). CSIT is the feedback information of the channel from the end users to the transmitter. Therefore multiple users are sending back the information at a same time, which causes the interference among the entire feedback channels and effectively degrades the SINR (Signal to Interference plus Noise Ratio). Therefore to address this problem we provide a systematic approach to derive bounds on the SINR to avoid the problem of interference, by assuming transmitter using zero forcing beam forming, and all the users are assumed to be orthogonal to each other.
 D. Tse and P. Viswanath, Fundamentals of Wireless Communications, 1st edition. Cambridge University Press, 2005.
 T. Yoo, N. Jindal, and A. Goldsmith, “Multi-antenna downlink channels with limited feedback and user selection,” IEEE J. Sel. Areas Commun. vol. 25, pp. 1478–1491, Sep. 2007.
 M. Kountouris, R. de Francisco, D. Gesbert, D. Slock, and T. Sälzer,“Efficient metrics for scheduling in MIMO broadcast channels with limited feedback,” in Proc. 2007 IEEE Int. Conf. Acoustics, Speech Signal Process., vol. 3, pp. III-109–III-112.
 M. Trivellato and F. B. F. Tosato, “User selection schemes for MIMO broadcast channels with limited feedback,” in Proc. 2007 IEEE Veh. Technol. Conf. – Spring, pp. 2089–2093.
 F. G. Fernandes, R. R. Lopes, and D. ZanattaFilho, “Zero-outage Strategy for multi-antenna broadcast channels with limited feedback,” in Proc. 2008 IEEE Workshop Signal Process. Advances Wireless Commun.
 N. Jindal, “Antenna combining for the MIMO downlink channel,” IEEE Trans. Wireless Commun., vol. 7, no. 10, pp. 3834–3844, Oct. 2008.
 T. Yoo and A. Goldsmith, “Sum-rate optimal multi-antenna downlink beam forming strategy based on clique search,” in Proc. 2005 IEEE Global Telecomm. Conf., vol. 3.
 D. J. Love, R. W. Heath Jr., and T. Strohmer, “Grassmannian beam forming for multiple-input multiple-output wireless systems,” IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2735–2747, Oct. 2003.
 R. Horn and C. Johnson, Matrix Analysis, 1st edition. Cambridge University Press, 1985.
Keywords :— MIMO, Broadcast channels, and array signal processing, feedback communication, co channel interference, diversity methods.