TechRxiv

Publications

  • Sub-Nyquist sampling and machine learning based online automatic modulation classifier for multi-carrier waveform
  • Parallel aggregated MAB framework for source selection in multi-antenna RF harvesting circuit
  • Decision making policy for RF energy harvesting enabled cognitive radios in decentralized wireless networks
  • Trekking based distributed algorithm for opportunistic spectrum access in infrastructure-less network
  • Two-stage decision making policy using Bayesian multi-armed bandit algorithm for opportunistic spectrum access
  • Efficient spectrum sensing for green cognitive radio using low complexity reconfigurable fast filter bank
  • An efficient timing and clock tree aware placement flow with multibit flip-flops for power reduction
  • Distributed learning algorithms for coordination in a cognitive network in presence of jammers
  • Reconfigurable filtered OFDM waveform for next generation air-to-ground communications
  • Low-complexity reconfigurable fast filter bank for multi-standard wireless receivers
  • Performance evaluation of cumulant feature based automatic modulation classifier on USRP testbec
  • Is bayesian multi-armed bandit algorithm superior?: Proof-of-concept for opportunistic spectrum access in decentralized networks
  • Linear-phase VDF design with unabridged bandwidth control over the nyquist band
  • Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks
  • A low complexity reconfigurable non-uniform filter bank for channelization in multi-standard wireless communication receivers
  • LSTM Guided Modulation Classification and Experimental Validation for Sub-Nyquist Rate Wideband Spectrum Sensing
  • Automatic modulation classification by exploiting cyclostationary features in wavelet domain
  • Spectral coexistence of candidate waveforms and DME in air-to-ground communications: Analysis via hardware software co-design on Zynq SoC
  • Efficient implementation of reconfigurable warped digital filters with variable low-pass, high-pass, bandpass, and bandstop responses
  • Throughput Optimized Non-Contiguous Wideband Spectrum Sensing via Online Learning and Sub-Nyquist Sampling
  • Performance Analysis of Reconfigurable Filtered OFDM for LDACS
  • Channel Selection for Secondary Users in Decentralized Network of Unknown Size
  • Erratum: Low complexity and efficient dynamic spectrum learning and tunable bandwidth access for heterogeneous decentralized cognitive radio networks" (Digital Signal Processing (2015) 37 (13-23))
  • Testbed and experimental analysis of automatic modulation classifier for non-uniformly sampled signal
  • Energy saving in heterogeneous cellular network via transfer reinforcement learning based policy
  • Efficient decentralized dynamic spectrum learning and access policy for multi-standard multi-user cognitive radio networks
  • Blind symbol rate estimation by exploiting cyclostationary features in wavelet domain
  • Distributed Algorithm for Learning to Coordinate in Infrastructure-Less Network
  • New Spectrum Efficient Reconfigurable Filtered-OFDM Based L-Band Digital Aeronautical Communication System
  • Dynamic spectrum access with tunable bandwidth for multi-standard cognitive radio receivers
  • Smart decision making policy for faster harvesting from ambient RF sources in wireless sensor nodes
  • Design of low complexity variable digital filter with large cutoff frequency range based on second order frequency transformation and interpolation
  • Reconfigurable filter bank with complete control over subband bandwidths for multistandard wireless communication receivers
  • FPGA implementation of high speed reconfigurable filter bank for multi-standard wireless communication receivers
  • Spectrum Blind Recovery and Application in Non-uniform Sampling Based Automatic Modulation Classifier
  • Countermeasures Against Jamming Attack in Sensor Networks with Timing and Power Constraints
  • Quantification of figures of merit of 7T and 8T SRAM cells in subthreshold region and their comparison with the conventional 6T SRAM cell
  • Improved hierarchical decision making policy for reliable and green electricity grid
  • Two-stage decision making policy for opportunistic spectrum access and validation on USRP testbed
  • Linear phase filter bank design with unabridged control over bandwidth and center frequency of subbands
  • Bayesian multi-armed bandit framework for multi-band auction based dynamic spectrum access in multi-user decentralized networks
  • Reconfiguration management on FPGA platform for cognitive radio
  • Low complexity and efficient dynamic spectrum learning and tunable bandwidth access for heterogeneous decentralized Cognitive Radio Networks
  • Distributed learning in ad-hoc networks with unknown number of players
  • Distributed decision making policy for frequency band selection boosting RF energy harvesting rate in wireless sensor nodes
  • Spectral Parameter Approximation Based Tunable Digital Filters on Zynq SoC
  • An efficient policy for D2D communications and energy harvesting in cognitive radios: Go Bayesian!
  • A transfer learning framework for energy efficient Wi-Fi networks and performance analysis using real data
  • Distributed algorithm for dynamic spectrum access in infrastructure-less cognitive radio network
  • Blind and adaptive reconstruction approach for non-uniformly sampled wideband signal
  • Design of variable linear phase FIR filters based on second order frequency transformations and coefficient decimation
  • A new variable digital filter design based on fractional delay
  • A reconfigurable filter bank for uniform and non-uniform channelization in multi-standard wireless communication receivers
  • An area and power efficient two-stage parallel spectrum sensing scheme for cognitive radios

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Co-workers & collaborators

Rohith Rajesh

Rohith Rajesh

Syed Asrar ul haq

Syed Asrar ul haq

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