Yogananda Isukapalli's Homepage
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Yogananda Isukapalli

Lecturer (PSOE)
Department of ECE
College of Engineering, UCSB

Contact
email: yoga - ece.ucsb.edu
4113 Harold Frank Hall
Santa Barbara, California, 93106

About me

I joined the ECE faculty, UC Santa Barbara, in Winter 2017. I was a staff scientist in the Wi-Fi division at Broadcom Limited, San Diego, from 2010 to 2017. At Broadcom I was involved with the design and implemention of fast and power efficient 11n/11ac/11ax Wi-Fi chips. As part of the systems team at Broadcom I worked on all phases of Wi-Fi chip production from conceptual design to integration of the chip into customer products. Prior to that I worked as a postdoctoral scholar at Scripps Institution of Oceanography on developing channel models for underwater wireless communications. I received my Ph.D. in Electrical and Computer Engineering from UC San Diego in 2009.

Teaching

  • Winter 2017: ECE152A: Digital Design Principles
  • Course material is available on GauchoSpace

Publications

Journals

  • Y. Isukapalli and B.D. Rao,“Packet error probability of a transmit beamforming system with imperfect feedback,” IEEE Transactions on Signal Processing, vol. 58, issue 4, pages: 2298-2314, Apr. 2010 pdf
  • Y. Isukapalli, R. Annavajjala and B.D. Rao, “Performance analysis of transmit beamforming for MISO systems with imperfect feedback,” IEEE Transactions on Communications, vol. 57, issue 1, pages: 222-231, Jan. 2009 pdf
  • Y. Isukapalli and B.D. Rao, “An analytically tractable approximation for the Gaussian Q-function,” IEEE Communications Letters, vol. 12, issue 9, pages: 669-671, Sep. 2008 pdf
  • K. K-Delgado and Y. Isukapalli, “Use of the Newton method for blind adaptive equalization based on the constant modulus algorithm,” IEEE Transactions on Signal Processing, vol. 56, issue 8, part. 2, pages: 3983-3995, Aug. 2008 pdf
  • Y. Isukapalli, J. Zheng and B.D. Rao, “Optimum codebook design and average SEP loss analysis of spatially independent and correlated feedback based MISO systems with rectangular QAM constel- lation,” IEEE Transactions on Signal Processing, vol. 57, issue 5, pages: 2017-2024, May 2009 pdf
  • Y. Isukapalli, H.C. Song and W.S. Hodgkiss “Stochastic channel simulator based on local scattering function,” Journal of Acoustic Society of America, 130 (4), EL200-EL205, 2011

Conferences

  • Y. Isukapalli and B.D. Rao, “Analyzing the effect of channel estimation errors on the average block error probability of a MISO transmit beamforming system,” IEEE Global Telecom. (Globecom) Conf., New Orleans, LA, pages: 1-6, Dec. 2008
  • Y. Isukapalli and B.D. Rao, “Finite rate feedback for spatially and temporally correlated MISO channels in the presence of estimation errors and feedback delay,” IEEE Globecom Conf., Washington D.C., pages: 2791-2795, Nov. 2007
  • Y. Isukapalli and B.D. Rao, “Performance analysis of finite rate feedback MISO systems in the presence of estimation errors and delay,” IEEE Asilomar Conf. on Sig. Syst. and Comp., CA, Oct. 2007
  • Y. Isukapalli, R. Annavajjala, and B. D. Rao, “Average SEP and BEP analysis of transmit beamform- ing for MISO systems with imperfect feedback and M-PSK constellation,” IEEE Symp. on Pers. Indoor and Mobile Radio Comm. (PIMRC), Athens, Greece, pages: 1-5, Sep. 2007
  • Y. Isukapalli, J. Zheng and B.D. Rao, “Average SEP loss analysis of transmit beamforming for finite rate feedback MISO systems with QAM constellation,” IEEE Intern. Conf. on Acous. Speech and Sig. Proc. (ICASSP), Hawaii, vol. 3, pages: 1520-6149, Apr. 2007
  • Y. Isukapalli and B.D. Rao, “Ergodicity of wireless channels and temporal prediction,” IEEE Asilomar Conf. on Sig. Syst. and Comp., CA, pages: 473-477, Oct. 2006
  • Y. Isukapalli and S.S. Rao “Exploiting the nature of extrinsic information in iterative decoding,” IEEE Asilomar Conf. on Sig. Syst. and Comp., CA, Oct. 2004
  • Y. Isukapalli and S. S. Rao “A new form of MUSIC algorithm for the instantaneous estimation of DOA and spatial spread,” IEEE Elec. Info. Tech. (EIT) conf., Indianapolis, IN, Jun. 2003
  • Y. Isukapalli and S.S. Rao “A heuristic explanation for the improvement in turbo codes performance with number of iterations,” IEEE EIT conf., Indianapolis, IN, Jun. 2003