Sri Sanjeevini Ganni

United States Contact Info
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About

I am a Software Engineer at Verneek.

Previously, I worked as SDE at Amazon after…

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Experience & Education

  • Verneek

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Publications

  • Distributed Algorithm for Resource Allocation in Downlink Heterogeneous Small Cell Networks

    ACM

    In next generation networks, the deployment of dense small cells and heterogeneous architecture is expected to overcome the limitations of data rates, latency and connectivity compared to the existing cellular networks. But the resource allocation in such downlink heterogeneous small cell networks becomes challenging for interference management and fairness. In this paper, we have proposed a distributed multi-coloring algorithm for resource allocation problem to allocate the resources…

    In next generation networks, the deployment of dense small cells and heterogeneous architecture is expected to overcome the limitations of data rates, latency and connectivity compared to the existing cellular networks. But the resource allocation in such downlink heterogeneous small cell networks becomes challenging for interference management and fairness. In this paper, we have proposed a distributed multi-coloring algorithm for resource allocation problem to allocate the resources effectively for its maximum utilization and to mitigate the interference, simultaneously ensuring fairness among the users. Time complexity of the proposed algorithm is O(V (V + E)). Through the simulation, we have shown that our proposed method performs better than the existing centralized algorithm in terms of required number of PRBs(Physical Resource Blocks). Also, our proposed algorithm has better fairness performance using Jain's fairness index as compared to centralized scheme.

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Courses

  • Artificial Intelligence

    -

  • Big Data Analytics

    CIS 545

  • Compilers

    -

  • Computational Linguistics

    CIS 530

  • Computer Graphics

    -

  • Computer Networks

    -

  • Computer Organization and Architecture

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  • Computer Peripherals and Interfacing

    -

  • Databases

    -

  • Deep Learning for Data Science

    CIS 522

  • Distributed Systems

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  • Forecasting Methods Management

    STAT 711

  • Interactive Fiction and Text generation

    CIS 700

  • Introduction to Deep Learning

    -

  • Introductory Microeconomics

    -

  • Machine Learning

    CIS 520

  • Number Theory and Cryptography

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  • Operating Systems

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  • Statistics for Data Science

    ESE 542

  • Theory of Computation

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Languages

  • English

    Native or bilingual proficiency

  • Telugu

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

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