K
Koduvayur P. Subbalakshmi
Researcher at Stevens Institute of Technology
Publications - 155
Citations - 4464
Koduvayur P. Subbalakshmi is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Cognitive radio & Encryption. The author has an hindex of 32, co-authored 149 publications receiving 4225 citations. Previous affiliations of Koduvayur P. Subbalakshmi include Accenture & Simon Fraser University.
Papers
More filters
Journal ArticleDOI
Dynamic Spectrum Access with QoS and Interference Temperature Constraints
Yiping Xing,Chetan Nanjunda Mathur,M.A. Haleem,Rajarathnam Chandramouli,Koduvayur P. Subbalakshmi +4 more
TL;DR: This paper studies two problems in secondary spectrum access with minimum signal to interference noise ratio (quality of service (QoS) guarantee under an interference temperature constraint and proposes a centralized reduced complexity search algorithm to find the optimal solution.
Proceedings ArticleDOI
Priority Based Dynamic Spectrum Access with QoS and Interference Temperature Constraints
Yiping Xing,Chetan Nanjunda Mathur,M.A. Haleem,Rajarathnam Chandramouli,Koduvayur P. Subbalakshmi +4 more
TL;DR: This paper studies two problems in secondary spectrum access with minimum signal to interference noise ratio (quality of service (QoS) guarantee under an interference temperature constraint and proposes a centralized reduced complexity search algorithm to find the optimal solution.
Journal ArticleDOI
Optimal Joint Scheduling and Cloud Offloading for Mobile Applications
TL;DR: This paper introduces the concept of wireless aware joint scheduling and computation offloading (JSCO) for multi-component applications, where an optimal decision is made on which components need to be offloaded as well as the scheduling order of these components.
Journal ArticleDOI
Author gender identification from text
TL;DR: This paper investigates author gender identification for short length, multi-genre, content-free text, such as the ones found in many Internet applications, and proposes 545 psycho-linguistic and gender-preferential cues along with stylometric features to build the feature space for this identification problem.
Proceedings ArticleDOI
An Analytical Model for Primary User Emulation Attacks in Cognitive Radio Networks
TL;DR: This paper proposes an analytical approach based on Fenton's approximation and Markov inequality and obtains a lower bound on the probability of a successful PUEA on a secondary user by a set of co-operating malicious users.