H
Hari Krishna Garg
Researcher at National University of Singapore
Publications - 135
Citations - 3963
Hari Krishna Garg is an academic researcher from National University of Singapore. The author has contributed to research in topics: Communication channel & Cognitive radio. The author has an hindex of 24, co-authored 135 publications receiving 3869 citations. Previous affiliations of Hari Krishna Garg include Philips & National Cheng Kung University.
Papers
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Journal ArticleDOI
Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity
TL;DR: It is shown that there is a capacity gain for SU under the average over the peak transmit/interference power constraint and that fading for the channel between SU transmitter and PU receiver is usually a beneficial factor for enhancing the SU channel capacities.
Journal ArticleDOI
On The Han–Kobayashi Region for theInterference Channel
TL;DR: It is established that the recently discovered Chong-Motani-Garg rate region is a new representation of the Han-Kobayashi region, and a tighter bound for the cardinality of the time-sharing auxiliary random variable emerges from this simplified description.
Journal ArticleDOI
Sensing-Based Spectrum Sharing in Cognitive Radio Networks
TL;DR: It is shown that the SU can achieve a significant capacity gain under the proposed model, compared with that under the opportunistic spectrum access or the conventional spectrum sharing model.
Journal ArticleDOI
Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint
TL;DR: It is shown by simulations that the derived new power allocation strategies can achieve substantial capacity gains for the secondary user over the conventional methods based on the interference temperature (IT) constraint, with the same resultant primary user outage probability.
Proceedings ArticleDOI
Sensing-Based Spectrum Sharing in Cognitive Radio Networks
TL;DR: It is shown that the SU can achieve a significant capacity gain under the proposed model, compared with that under the opportunistic spectrum access or the conventional spectrum sharing model.