| Presentation | 2017-10-23 [Poster Presentation] Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System Suguru Kameda, Hideki Fukudome, Noriharu Suematsu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have already proposed traffic navigation, which is high-accuracy network selection scheme using map information and highly accurate positioning information. In this paper, we discuss the generation method of map information. For making map information, it is a main issue to reduce the network load (i.e., the number of collected data for creating map information) with keeping the system selection accuracy. In order to reduce the network load with keeping the accuracy, we propose a map generation method using deep learning in this paper. At first in the proposed method, the data of received signal strength indicator (RSSI) linking with high precision position information aggregate into heterogeneous network control server (HCS). Based on the collected data, the HCS creates a deep neural network (DNN). The generated DNN is delivered to each terminal. The terminal can select the optimum network by inputting the position information to the DNN. As a result of evaluation by computer simulation, it is shown that optimum network selection is possible with higher precision even when the number of collected data is small. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | traffic navigation / signal quality map / network load / selection accuracy / deep neural network (DNN) |
| Paper # | SR2017-78,SRW2017-30 |
| Date of Issue | 2017-10-16 (SR, SRW) |
| Conference Information | |
| Committee | SR / SRW |
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| Conference Date | 2017/10/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Grand Hotel Palatino, Rome, Italy |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SmartCom2017 |
| Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Tadao Nakagawa(Tottori Univ.) |
| Vice Chair | Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.) |
| Secretary | Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) / Satoshi Denno(NICT) / Makoto Hamaminato(Kyoto Univ.) |
| Assistant | Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(NIT, Akashi College) / Kentaro Saito(Tokyo Inst. of Tech.) / Hiromasa Yamauchi(Fujitsu labs.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System |
| Sub Title (in English) | Generation Method of Map Information Using Deep Learning |
| Keyword(1) | traffic navigation |
| Keyword(2) | signal quality map |
| Keyword(3) | network load |
| Keyword(4) | selection accuracy |
| Keyword(5) | deep neural network (DNN) |
| 1st Author's Name | Suguru Kameda |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 2nd Author's Name | Hideki Fukudome |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 3rd Author's Name | Noriharu Suematsu |
| 3rd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| Date | 2017-10-23 |
| Paper # | SR2017-78,SRW2017-30 |
| Volume (vol) | vol.117 |
| Number (no) | SR-257,SRW-258 |
| Page | pp.pp.35-36(SR), pp.39-40(SRW), |
| #Pages | 2 |
| Date of Issue | 2017-10-16 (SR, SRW) |