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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2018-10-19
14:55
Tokyo Kikai-Shinko-Kaikan Bldg. Two-Stage Fuzzy Q-Learning Based Channel Selection Algorithm in Cognitive Radio Networks
Aohan Li, Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2018-174
 [more] RCS2018-174
pp.125-129
SAT, RCS
(Joint)
2018-08-10
15:45
Iwate Iwate University Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning
Yuva Kumar S., Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2018-149
With the advent of the fifth generation (5G) systems, there is an increasing demand for high data rate transmission and ... [more] RCS2018-149
pp.99-104
RCS 2018-06-22
15:15
Nagasaki Nagasaki University Energy Efficiency Optimization in D2D-enabled Heterogeneous Cellular Networks
Fereidoun H. Panahi (Keio Univ.), Farzad H. Panahi (UOK), Ghaith Hattab (UCLA), Tomoaki Ohtsuki (Keio Univ.), Danijela Cabric (UCLA) RCS2018-76
Small cells (SCs) offer a promising approach to meeting the exponentially growing data rate demands. However, dense depl... [more] RCS2018-76
pp.243-248
RCS, SR, SRW
(Joint)
2018-03-01
09:00
Kanagawa YRP Green Heterogeneous Networks Through a Fuzzy Q-Learning Based Sleep/Wake-up Scheme and D2D Communications
Fereidoun H. Panahi (Keio Univ.), Farzad H. Panahi (UOK), Ghaith Hattab (UCLA), Tomoaki Ohtsuki (Keio Univ.), Danijela Cabric (UCLA) RCS2017-360
Increased environmental awareness coupled with the rising cost of energy have sparked a keen interest in the deployment
... [more]
RCS2017-360
pp.229-234
RCS, SR, SRW
(Joint)
2017-03-02
10:50
Tokyo Tokyo Institute of Technology Q-Learning Based Detection of Superposed Band in Multi-carrier Based Transmission Systems
Ali B Al Shaikh, Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.), Kouhei Suzaki, Hirofumi Sasaki, Hideya So (NTT), Tadao Nakagawa (Tottori University) RCS2016-314
 [more] RCS2016-314
pp.149-154
RCS, CCS, SR, SRW
(Joint)
2016-03-02
13:15
Tokyo Tokyo Institute of Technology Interference Alignment for Multi-User MIMO Interference Channels Based on Estimated Uplink Channels
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Kazuhiro Uehara (NTT) RCS2015-351
We propose centralized iterative algorithms that jointly determine the optimal transmit and receive filters for a K-user... [more] RCS2015-351
pp.109-114
RCS, CCS, SR, SRW
(Joint)
2016-03-02
13:40
Tokyo Tokyo Institute of Technology Joint Interference Alignment Transceiver Filter Design and Power Allocation for Downlink Multi-User MIMO Interference Channels
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Kazuhiro Uehara (NTT) RCS2015-352
We propose centralized iterative algorithms that jointly determine the optimal transmit and receive filters as well as t... [more] RCS2015-352
pp.115-120
RCS 2015-06-25
14:05
Hokkaido Hokkaido Univ. A Riemannian Optimization Based Interference Alignment for Multi-User MIMO Interference Channels
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2015-73
Interference alignment (IA) is a technique shown to be able to achieve a significant overall throughput in a K-user mult... [more] RCS2015-73
pp.161-166
ASN, RCS, NS, SR
(Joint)
2013-07-17
15:45
Shizuoka Hamamatsu Act City Coverage Probability Analysis of Cognitive Heterogeneous Cellular Networks Based on Stochastic Geometry
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2013-84
In this report, a Cognitive Radio (CR) based statistical framework for a two-tier heterogeneous cellular network (macro-... [more] RCS2013-84
pp.37-42
RCS, SR, SRW
(Joint)
2013-03-01
14:00
Tokyo Waseda Univ. A Reinforcement Learning Based Sensing Policy for Cognitive Radio Systems
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2012-363
Spectrum sensing is a critical function for enabling dynamic spectrum access (DSA) in wireless networks that utilize cog... [more] RCS2012-363
pp.471-476
SR, AN, USN, RCS
(Joint)
2012-10-19
14:55
Fukuoka Fukuoka univ. A Fuzzy Q-Learning Based Sensing Policy for Cognitive Radio Systems
Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2012-155
In a cognitive radio (CR) network, the channel sensing scheme to detect the appearance of a primary user (PU) directly a... [more] RCS2012-155
pp.173-178
 Results 1 - 11 of 11  /   
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