| Residential College | false |
| Status | 已發表Published |
| User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning | |
Xue, Qing1; Sun, Yao2 ; Wang, Jian3; Feng, Gang4; Yan, Li5; Ma, Shaodan1
| |
| 2021-08-26 | |
| Source Publication | IEEE Communications Letters
 |
| ISSN | 1089-7798 |
| Volume | 25Issue:11Pages:3594-3598 |
| Abstract | For ultra-dense networks, user-centric architecture is regarded as a promising candidate to offer mobile users better quality of service. One of the main challenges of user-centric architecture is exploring efficient scheme for user association in the ultra-dense network. In this letter, we study dynamic user-centric association (UCA) problem for ultra-dense millimeter wave (mmWave) networks to provide reliable connectivity and high achievable data rate. We consider time-varying network environments and propose a deep Q-network based UCA scheme to find the optimal association policy based on the historical experience. Simulation results are presented to verify the performance gain of our proposed scheme. |
| Keyword | Deep Learning Multiple Association Ultra-dense Mmwave Network User-centric |
| DOI | 10.1109/LCOMM.2021.3108013 |
| URL | View the original |
| Indexed By | SCIE |
| Language | 英語English |
| WOS Research Area | Telecommunications |
| WOS Subject | Telecommunications |
| WOS ID | WOS:000716696200035 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
| Scopus ID | 2-s2.0-85113825172 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Journal article |
| Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
| Corresponding Author | Sun, Yao |
| Affiliation | 1.Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications (CQUPT), Chongqing, China 2.James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom 3.National Key Laboratory of Science and Technology on Communications, UESTC, Chengdu, China 4.Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China 5.State Key Lab. of Internet of Things for Smart City and the Dept. of Elec. and Computer Engineering, University of Macau, Macau, Macao |
| Recommended Citation GB/T 7714 | Xue, Qing,Sun, Yao,Wang, Jian,et al. User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning[J]. IEEE Communications Letters, 2021, 25(11), 3594-3598. |
| APA | Xue, Qing., Sun, Yao., Wang, Jian., Feng, Gang., Yan, Li., & Ma, Shaodan (2021). User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning. IEEE Communications Letters, 25(11), 3594-3598. |
| MLA | Xue, Qing,et al."User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning".IEEE Communications Letters 25.11(2021):3594-3598. |
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