Rajeev Agrawal

Ph.D
G L Bajaj Group of Institutions · Computer Science & Engineering

Topics (13) View all

Skills (4)

Research experience

    • Jan 2006–
      Dec 2007
      Research: Jawaharlal Nehru University
      Jawaharlal Nehru University · School of Computer and Systems Sciences
      New Delhi · India
  • Jan 2008–
    Mar 2013
    Research: Remote patient monitoring
    G.L. bajaj · Computer science · G.L. bajaj
    Greater Noida
    QoS, reliability, MAC

Education

  • Jan 2000–
    Apr 2004
    JNU
    SC&SS · PhD
    India · New Delhi

Other

  • Languages
    Hindi, english

Publications (5) View all

  • Article: QoS based network selection scheme for 4G systems
    A. Sehgal, R. Agrawal
    [show abstract] [hide abstract]
    ABSTRACT: Exponential growth of user demands on a single convergence platform has brought researchers to explore various aspects/features of Fourth Generation (4G) Mobile Communication System. Selection of application as per the user preference based on QoS (Quality of Service) is one salient feature of 4G. This user-centric system works on the basis to provide best services of the network to the users. In this paper, a selection algorithm has been proposed which provides a better way to implement user preferences as per the features of 4G. Rank based on distance function has been computed for various available services/access technologies, called networks. Weighted distance function is obtained based on multiple QoS parameters as per user needs. The proposed algorithm shows better results compared to single parameter based system, under a heterogeneous network system.
    IEEE Transactions on Consumer Electronics 06/2010; · 0.94 Impact Factor
  • Article: Ultrasonic backscattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution.
    Rajeev Agrawal, Karmeshu
    [show abstract] [hide abstract]
    ABSTRACT: Ultrasonic tissue characterization through composite probability distributions such as Nakagami-lognormal, Nakagami-gamma, Nakagami-inverse Gaussian has been found to be useful. Such a probabilistic description also depicts heavy tails which arise from multiple scattering in tissue besides local and global variations in scattering cross-sections. A new composite probability distribution, viz. Nakagami-generalized inverse Gaussian distribution (NGIGD) with four parameters is proposed which under different limiting conditions results in approximating the known distributions. A salient aspect of the new distribution is that the probability density function (pdf) of NGIGD variate is available in closed form and is analytically tractable.
    Computers in Biology and Medicine 03/2007; 37(2):166-72. · 1.09 Impact Factor
  • Article: On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels.
    Karmeshu, Rajeev Agrawal
    Wireless Communications and Mobile Computing. 01/2007; 7:1-7.
  • Conference Proceeding: New Handover Scheme Based on User Profile: A Comparative Study
    Pushpa, A. Sehgal, R. Agrawal
    [show abstract] [hide abstract]
    ABSTRACT: In this paper we have analyzed the number of handover required in different time stamp for a particular user on the quality of service parameters namely handover call blocking probability. This system model is based on the analysis of user mobility profile and assigns a weightage factor to each cell. The mathematical equation of the handover blocking probability derived from stochastic comparisons has-been used to compute upper bounds on dropping handover blocking probability by using Guard channel assignment scheme. A conceptual view is given to reduce the new call blocking probability. We use Dynamic Channel Reservation Scheme that can assign handover-reserved channels to new calls depending on the handover weightage factor to reduce new call blocking probability.
    Communication Software and Networks, 2010. ICCSN '10. Second International Conference on; 03/2010
  • Article: Study of ultrasonic echo envelope based on Nakagami-inverse Gaussian distribution.
    Karmeshu, Rajeev Agrawal
    [show abstract] [hide abstract]
    ABSTRACT: A new probability density function (pdf) to describe the envelope of the backscattered echoes from tissues is proposed. The combined effect of multiple scattering and randomness arising from local and global variations in scattering cross-section is captured through Nakagami-inverse Gaussian distribution (NIGD). The proposed distribution has the advantage that it has a closed form unlike the realistic Nakagami-lognormal distribution (NLD). The degree of closeness, as measured in terms of Kullback-Leibler (KL) distance between two probability distributions is computed. It is shown that NIGD much more closely approximates NLD compared to Nakagami-gamma distribution (NGD) used to model such problems.
    Ultrasound in Medicine & Biology 04/2006; 32(3):371-6. · 2.29 Impact Factor

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