Presentation 2019-01-24
Metric-Combining Multiuser Detection with RTS and eCTS for Ultra Reliable and Low Latency Wireless Communications
Hideya So, Hayato Soya, Kazuhiko Fukawa, Yuyuan Chang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This report proposes the multiuser detection (MUD) employing RTS and enhanced CTS (eCTS) for Internet of Things (IoT) services of which transmission delay time is strictly limited. Unlicensed band wireless communications employing CSMA/CA suffer from longer transmission delay time as the number of user terminals (UTs) increases, because packet collisions are more likely to occur. As a conventional scheme to separate collided packets, the metric-combining MUD (MC-MUD) has been proposed in OFDMA systems. MC-MUD calculates the metric for packets, which is defined as the squared Euclid distance between the received signal and its replica. Upon the basis of the maximum likelihood detection, MC-MUD combines the metric of a retransmitted packet with that of a previously transmitted packet. However, the corresponding UTs should simultaneously retransmit the same packets, so as to reduce computational complexity of MC-MUD. Since UTs are not centrally controlled, such a packet collision is not likely to occur. In order to cope with this problem, the report proposes a transmission scheme to realize the same packet collision for MC-MUD. In the proposed scheme, one UT that suffers from the packet collision transmits RTS before the retransmission. Then, the corresponding access point (AP) transmits eCTS including the addresses of the other UTs, which have experienced the same packet collision. The other UTs, which receive the eCTS, transmit the same packets immediately in order to achieve the same packet collision again. Computer simulations evaluate a CNR range under which the proposed scheme is effective, and transmission delay time of the proposed scheme.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) IoT / Wireless communications / CSMA/CA / Multiuser detection / Packet combining / RTS / eCTS
Paper # SR2018-98
Date of Issue 2019-01-17 (SR)

Conference Information
Committee SR
Conference Date 2019/1/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Corasse, Fukushima city (Fukushima prefecture)
Topics (in Japanese) (See Japanese page)
Topics (in English) cognitive radio, machine learning application, heterogeneous network, SDN, IoT etc.
Chair Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.)
Vice Chair Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.)
Secretary Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR)
Assistant Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Metric-Combining Multiuser Detection with RTS and eCTS for Ultra Reliable and Low Latency Wireless Communications
Sub Title (in English)
Keyword(1) IoT
Keyword(2) Wireless communications
Keyword(3) CSMA/CA
Keyword(4) Multiuser detection
Keyword(5) Packet combining
Keyword(6) RTS
Keyword(7) eCTS
1st Author's Name Hideya So
1st Author's Affiliation Tokyo Institute of Technology(TITECH)
2nd Author's Name Hayato Soya
2nd Author's Affiliation neko 9 Laboratories(neko 9 Lab.)
3rd Author's Name Kazuhiko Fukawa
3rd Author's Affiliation Tokyo Institute of Technology(TITECH)
4th Author's Name Yuyuan Chang
4th Author's Affiliation Tokyo Institute of Technology(TITECH)
Date 2019-01-24
Paper # SR2018-98
Volume (vol) vol.118
Number (no) SR-421
Page pp.pp.5-12(SR),
#Pages 8
Date of Issue 2019-01-17 (SR)