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DRL-based Beam Allo...
DRL-based Beam Allocation in Relay-aided Multi-user MmWave Vehicular Networks
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- Ju, Ying (författare)
- Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China.;Xidian Univ, Guangzhou Inst Technol, Guangzhou, Peoples R China.
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- Wang, Haoyu (författare)
- Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA USA.
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- Chen, Yuchao (författare)
- Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China.;Xidian Univ, Guangzhou Inst Technol, Guangzhou, Peoples R China.
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- Liu, Lei (författare)
- Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China.;Xidian Univ, Guangzhou Inst Technol, Guangzhou, Peoples R China.
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- Zheng, Tong-Xing (författare)
- Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian, Peoples R China.;Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China.
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- Pei, Qingqi (författare)
- Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China.;Xidian Univ, Guangzhou Inst Technol, Guangzhou, Peoples R China.
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- Xiao, Ming, 1975- (författare)
- KTH,Teknisk informationsvetenskap
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Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China;Xidian Univ, Guangzhou Inst Technol, Guangzhou, Peoples R China. Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA USA. (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2022
- 2022
- Engelska.
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Ingår i: IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS). - : Institute of Electrical and Electronics Engineers (IEEE).
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Millimeter wave (mmWave) communication can realize high transmission rates in vehicular networks. Nevertheless, severe blocking effects and high mobility of vehicles would seriously affect downlink services for vehicles. To ensure communication quality and stability, this paper jointly explores beam allocation and relay selection in mmWave vehicular networks from the perspective of artificial intelligence-driven model. We utilize queuing theory to simulate dynamic distributions of vehicles and firstly propose a deep reinforcement learning (DRL) based joint beam allocation and relay selection scheme to mitigate the blocking effects and optimize the total communication capacity. When the expected downlink is blocked, mmWave base station (mmBS) can select appropriate idle vehicles as the relay nodes for service. Besides, we set the capacity threshold when designing the scheme to guarantee each target vehicle can obtain the ideal service. Through proper training, mmBS can intelligently find an optimal solution for the constantly updated vehicular networks based on the location of vehicles. Simulation results demonstrate the effectiveness of our scheme, which can restrain the transmission outage caused by random blockage and improve the total communication capacity of vehicular networks.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Artificial intelligence
- mmWave vehicular networks
- beam allocation
- relay selection
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)