Kyung Sup Kwak
Inha University
785 Papers
4.1K Citations
Kyung Sup Kwak is an academic researcher from Inha University. The author has contributed to research in topics: Computer science & Cognitive radio. The author has an hindex of 44, co-authored 744 publications.
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Papers
•Journal Article
An Energy Consumption Model for Time Hopping IR-UWB Wireless Sensor Networks
TL;DR: In this article, the authors proposed an energy consumption model for IR-UWB wireless sensor networks, which takes the advantages of PHY-MAC cross layer design, and used slotted and un-slotted sleeping protocols to compare the energy consumption.
Optimal power allocation of opportunistic nonorthogonal amplify-and-forward cooperative systems with blind relay
Juan Cui,Zhiquan Bai,Jianlan Jia,Kyung Sup Kwak +3 more
- 13 Dec 2012
TL;DR: Simulation results show that the performance of the proposed optimal power allocation scheme outperforms the equalPower allocation scheme and direct transmission as well as the orthogonal amplify-and-forward (OAF) scheme.
Outage and SER performance of DF relaying using STBC over dissimilar Rayleigh fading channels
Qinghai Yang,Kyung Sup Kwak,Fenglin Fu +2 more
- 28 Sep 2009
TL;DR: This work investigates the symbol error rate (SER) and outage probability of the cooperative transmission with the decode-and-forward relay protocol over dissimilar Rayleigh fading channels and derived closed-form expressions of outage probability and SER are derived.
Power allocation for single secondary user in OFDM-based cognitive networks with comprehensive interference considerations
Chengshi Zhao,Kyung Sup Kwak +1 more
- 08 Oct 2009
TL;DR: This paper specifies the single SU case with multiple PUs, the power allocation for the subcarriers of the SU is modeled into a single user water-filling framework, where the mutual interference between the PUs and theSU is comprehensively formulated into the restrictions on the SU's transmission power.
Exploiting multipath and Doppler array gains in fast-fading wireless channel
TL;DR: Both analytical and simulation results show that, with the same computational complexity, the proposed methods can significantly outperform the conventional ones.