| Presentation | 2019-03-09 A Deep Learning Based Spatial Spectrum Reuse Approach in Multiple Dense WLAN Scenarios Jin Liu, Masahide Hatanaka, Takao Onoye, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, with the development of wireless local area network (WLAN) applications, a considerable expansion of wireless devices has resulted in dense WLANs. However, due to the limited resource such as spectrum, an increasing number of these wireless devices are working on the same channel. This dense deployment may incur co-channel interference and lead to the degradation of the overall network performance. To solve this problem, IEEE 802.11ax task group (IEEE 802.11 TGax) will adopt dynamic sensitivity control (DSC) in the next generation WLAN. DSC is a new scheme to improve spatial spectrum reuse by configuring the carrier sensing threshold (CST). In this study, we propose a deep belief network based DSC (DBN-DSC) algorithm to improve the spatial spectrum reuse in dense WLANs. We evaluate the DBN-DSC algorithm under all six standard dense scenarios proposed by IEEE 802.11 TGax. Our simulation results show that both the throughput and fairness of DBN-DSC algorithm outperform the established, beacon RSSI based DSC (BR-DSC) algorithm, under all six scenarios. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | IEEE 802.11ax / Deep learning / Dynamic sensitivity control (DSC) / Dense deployment / Spatial spectrum reuse |
| Paper # | CAS2018-153,CS2018-121 |
| Date of Issue | 2019-03-01 (CAS, CS) |
| Conference Information | |
| Committee | CAS / CS |
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| Conference Date | 2019/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shonan Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. |
| Chair | Hideaki Okazaki(Shonan Inst. of Tech.) / Hidenori Nakazato(Waseda Univ.) |
| Vice Chair | Taizo Yamawaki(Hitachi) / Jun Terada(NTT) |
| Secretary | Taizo Yamawaki(Shonan Inst. of Tech.) / Jun Terada(Hitachi) |
| Assistant | Motoi Yamaguchi(Renesas Electronics) / Kazutaka Hara(NTT) / Kentaro Toyoda(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Circuits and Systems / Technical Committee on Communication Systems |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Deep Learning Based Spatial Spectrum Reuse Approach in Multiple Dense WLAN Scenarios |
| Sub Title (in English) | |
| Keyword(1) | IEEE 802.11ax |
| Keyword(2) | Deep learning |
| Keyword(3) | Dynamic sensitivity control (DSC) |
| Keyword(4) | Dense deployment |
| Keyword(5) | Spatial spectrum reuse |
| 1st Author's Name | Jin Liu |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Masahide Hatanaka |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Takao Onoye |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2019-03-09 |
| Paper # | CAS2018-153,CS2018-121 |
| Volume (vol) | vol.118 |
| Number (no) | CAS-488,CS-489 |
| Page | pp.pp.81-86(CAS), pp.81-86(CS), |
| #Pages | 6 |
| Date of Issue | 2019-03-01 (CAS, CS) |