Presentation 2019-04-19
Introduction of Q-Learning to Fixed Assignment based Window Access Scheme with Capture(FAWAC)
Yuki Uehara, Megumi Saito, Shigeru Shimamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents the effects of applying Q-learning to fixed assignment based window access scheme with capture, such as offering nodes to transmit packets with less collisions. FAWA (Fixed Assignment based Window Access) is a multiple access scheme taking a middle position of slotted Aloha and TDMA schemes. FAWAC is an extension of the FAWA scheme. It allows for priorities of transmissions in assigned slots with the effect of capture using power control. By applying Q-learning to these schemes, the previous transmission can be considered, therefore enabling the schemes to have performance improvement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Reinforcement LearningQ-LearningFAWAFAWAC
Paper # CS2019-10
Date of Issue 2019-04-11 (CS)

Conference Information
Committee CS / CQ
Conference Date 2019/4/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Osaka Univ. Library
Topics (in Japanese) (See Japanese page)
Topics (in English) Optical/Wireless Access and Their Integration, QoS and QoE, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, etc
Chair Hidenori Nakazato(Waseda Univ.) / Takanori Hayashi(Hiroshima Inst. of Tech.)
Vice Chair Jun Terada(NTT) / Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Jun Terada(NTT) / Hideyuki Shimonishi(Waseda Univ.) / Jun Okamoto(NTT)
Assistant Kazutaka Hara(NTT) / Kentaro Toyoda(Keio Univ.) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Systems / Technical Committee on Communication Quality
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Introduction of Q-Learning to Fixed Assignment based Window Access Scheme with Capture(FAWAC)
Sub Title (in English)
Keyword(1) Reinforcement LearningQ-LearningFAWAFAWAC
1st Author's Name Yuki Uehara
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Megumi Saito
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Shigeru Shimamoto
3rd Author's Affiliation Waseda University(Waseda Univ.)
Date 2019-04-19
Paper # CS2019-10
Volume (vol) vol.119
Number (no) CS-6
Page pp.pp.51-54(CS),
#Pages 4
Date of Issue 2019-04-11 (CS)