| Presentation | 2019-06-20 Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink Riki Okawa, Yukitoshi Sanada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The sum rate performance of quantized precoding using Gibbs sampling is evaluated in a massive multiple-input multiple-output (MIMO) system in this paper. The massive MIMO is a promising technique to improve spectrum efficiency and energy efficiency. In a full digital massive MIMO system, however, the resolution of digital-to-analogue converters (DACs) in transmit antenna branches have to be low enough becauseof their power consumption. Therefore, quantized precoding or precoding with the low resolution DACs is investigated. A conventional optimization criterion minimizes errors between a desired received signal and a designed signal. However, the system sum rate may decrease as it increases transmit power. This paper proposes two optimization criteria that take not only the errors but also the transmit power into account to select the candidate quantized transmit signal in order to maximize the sum rate. Moreover, Gibbs sampling is applied to obtain the suboptimal solution of the optimization problem. Numerical results obtained through computer simulation show that the proposed sum rate based criterion for the optimization achieves the approximately 1.3 times higher sum rate than the conventional criterion on a Rician fading channel. On the other hand, the proposed symbol-power-to-mean-square-error ratio (SMSER) based criterion shows faster optimization convergence on both Rician and Rayleigh fading channels. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Massive MIMO / Quantized Precoding / Low Resolution DACs / Gibbs Sampling |
| Paper # | RCS2019-73 |
| Date of Issue | 2019-06-12 (RCS) |
| Conference Information | |
| Committee | RCS |
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| Conference Date | 2019/6/19(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyakojima Hirara Port Terminal Building |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. |
| Chair | Tomoaki Otsuki(Keio Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura |
| Assistant | Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Shinya Kumagai(Fujitsu Labs.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink |
| Sub Title (in English) | |
| Keyword(1) | Massive MIMO |
| Keyword(2) | Quantized Precoding |
| Keyword(3) | Low Resolution DACs |
| Keyword(4) | Gibbs Sampling |
| 1st Author's Name | Riki Okawa |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Yukitoshi Sanada |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2019-06-20 |
| Paper # | RCS2019-73 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-90 |
| Page | pp.pp.221-226(RCS), |
| #Pages | 6 |
| Date of Issue | 2019-06-12 (RCS) |