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pro vyhledávání: '"Gu, Zhouyou"'
This paper considers opportunistic scheduler (OS) design using statistical channel state information~(CSI). We apply max-weight schedulers (MWSs) to maximize a utility function of users' average data rates. MWSs schedule the user with the highest wei
Externí odkaz:
http://arxiv.org/abs/2402.08238
Restricted access window (RAW) in Wi-Fi 802.11ah networks manages contention and interference by grouping users and allocating periodic time slots for each group's transmissions. We will find the optimal user grouping decisions in RAW to maximize the
Externí odkaz:
http://arxiv.org/abs/2402.00879
Autor:
Gu, Zhouyou, She, Changyang, Hardjawana, Wibowo, Lumb, Simon, McKechnie, David, Essery, Todd, Vucetic, Branka
In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL) algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with time-sensitive traffic. Since the scheduling policy is a deterministic mappin
Externí odkaz:
http://arxiv.org/abs/2009.08346
Autor:
She, Changyang, Sun, Chengjian, Gu, Zhouyou, Li, Yonghui, Yang, Chenyang, Poor, H. Vincent, Vucetic, Branka
As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will be central for the development of various emerging mission-critical app
Externí odkaz:
http://arxiv.org/abs/2009.06010
Autor:
She, Changyang, Dong, Rui, Gu, Zhouyou, Hou, Zhanwei, Li, Yonghui, Hardjawana, Wibowo, Yang, Chenyang, Song, Lingyang, Vucetic, Branka
In the future 6th generation networks, ultra-reliable and low-latency communications (URLLC) will lay the foundation for emerging mission-critical applications that have stringent requirements on end-to-end delay and reliability. Existing works on UR
Externí odkaz:
http://arxiv.org/abs/2002.11045
Akademický článek
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Akademický článek
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Autor:
Gu, Zhouyou
In future wireless, WiFi or cellular networks, physical networks are shared among multiple virtual networks. Each virtual network becomes a tenant in the physical network, which is known as a multi-tenant network. Operators need to handle time-varyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::1482c8b53d899f7f7b6778361a48375c
https://hdl.handle.net/2123/21225
https://hdl.handle.net/2123/21225