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Optimal cooperative cognitive relaying and spectrum access for an energy harvesting cognitive radio: Reinforcement learning approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, we consider a cognitive setting under the context of cooperative communications, where the cognitive radio (CR) user is assumed to be a self-organized relay for the network. The CR user and the primary user ...
Evidence theory-based approach for epileptic seizure detection using EEG signals
(
IEEE
, 2012 , Conference Paper)
Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ...
Distributed interference management using Q-Learning in cognitive femtocell networks: New USRP-based implementation
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Femtocell networks have become a promising solution in supporting high data rates for 5G systems, where cell densification is performed using the small femtocells. However, femtocell networks have many challenges. One of ...
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
(
IEEE Computer Society
, 2013 , Conference Paper)
Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ...
Non-data-aided SNR estimation for QPSK modulation in AWGN channel
(
IEEE Computer Society
, 2014 , Conference Paper)
Signal-to-noise ratio (SNR) estimation is an important parameter that is required in any receiver or communication systems. It can be computed either by a pilot signal data-aided approach in which the transmitted signal ...
Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
(
IEEE
, 2013 , Conference Paper)
Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ...
Performance analysis for truncated ARQ based DSFBC-CO-OFDM communication scheme
(
IEEE
, 2011 , Conference Paper)
We develop and analyze an ARQ (Automatic Repeat reQuest) based distributed space-frequency block code-orthogonal frequency division multiplexing protocol for cooperative communications (DSFBC-CO-OFDM). At PHY layer, space ...
Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Wireless sensor technologies can provide the leverage needed to enhance patient-caregivers collaboration through ubiquitous access and direct communication, which promotes smart and scalable vital sign monitoring of the ...
On target coverage in mobile visual sensor networks
(
Association for Computing Machinery, Inc
, 2014 , Conference Paper)
Recent advancements in manufacturing low-cost wireless battery operated cameras has made their application in Wireless Video Sensor Networks (WVSN) increasingly more feasible and affordable. The application of robotic ...
Robust secret key extraction from channel secondary random process
(
John Wiley and Sons Ltd
, 2016 , Conference Paper)
The vast majority of existing secret key generation protocols exploit the inherent randomness of the wireless channel as a common source of randomness. However, independent noise added at the receivers of the legitimate ...