Main Reference PaperMaximizing Capacity in Cognitive Radio Networks Under Physical Interference Model, IEEE/ACM Transactions on Networking, July 2017 [NS2]
  • The proposed work aims at improving the capacity of cognitive radio networks under physical interference model. The proposed works extends polynomial time approximation algorithm to maximize the number of selected secondary links and the other with multiple primary users.

+ Description
  • The proposed work aims at improving the capacity of cognitive radio networks under physical interference model. The proposed works extends polynomial time approximation algorithm to maximize the number of selected secondary links and the other with multiple primary users.

  • To solve problem of capacity maximization in cognitive radio network.

  • To improve the performance of Cognitive radio networks using a maximum cardinality set of links.

+ Aim & Objectives
  • To solve problem of capacity maximization in cognitive radio network.

  • To improve the performance of Cognitive radio networks using a maximum cardinality set of links.

  • A technique is contributed to design an approximation with smaller bound on the approximation ratio.

+ Contribution
  • A technique is contributed to design an approximation with smaller bound on the approximation ratio.

  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: NS 2.35, Language : TCL and AWK Script, (C++)

+ Software Tools & Technologies
  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: NS 2.35, Language : TCL and AWK Script, (C++)

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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