Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Bentley, Elizabeth Serena"'
Autor:
McManus, Maxwell, Cui, Yuqing, Zhang, Zhaoxi, Bentley, Elizabeth Serena, Medley, Michael, Mastronarde, Nicholas, Guan, Zhangyu
Digital Twin (DT) technology is expected to play a pivotal role in NextG wireless systems. However, a key challenge remains in the evaluation of data-driven algorithms within DTs, particularly the transfer of learning from simulations to real-world e
Externí odkaz:
http://arxiv.org/abs/2408.14465
Autor:
McManus, Maxwell, Rinchen, Tenzin, Dey, Annoy, Thota, Sumanth, Zhang, Zhaoxi, Hu, Jiangqi, Wang, Xi, Ji, Mingyue, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, Guan, Zhangyu
In this work, we present a new federation framework for UnionLabs, an innovative cloud-based resource-sharing infrastructure designed for next-generation (NextG) and Internet of Things (IoT) over-the-air (OTA) experiments. The framework aims to reduc
Externí odkaz:
http://arxiv.org/abs/2408.14460
Wireless networks consisting of low SWaP, FW-UAVs are used in many applications, such as monitoring, search and surveillance of inaccessible areas. A decentralized and autonomous approach ensures robustness to failures; the UAVs explore and sense wit
Externí odkaz:
http://arxiv.org/abs/2407.02929
Autor:
McManus, Maxwell, Cui, Yuqing, Josh, Zhang, Hu, Jiangqi, Moorthy, Sabarish Krishna, Guan, Zhangyu, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael
In existing wireless networks, the control programs have been designed manually and for certain predefined scenarios. This process is complicated and error-prone, and the resulting control programs are not resilient to disruptive changes. Data-driven
Externí odkaz:
http://arxiv.org/abs/2301.03359
Autor:
Qiu, Peiwen, Li, Yining, Liu, Zhuqing, Khanduri, Prashant, Liu, Jia, Shroff, Ness B., Bentley, Elizabeth Serena, Turck, Kurt
Decentralized bilevel optimization has received increasing attention recently due to its foundational role in many emerging multi-agent learning paradigms (e.g., multi-agent meta-learning and multi-agent reinforcement learning) over peer-to-peer edge
Externí odkaz:
http://arxiv.org/abs/2212.02376
Cooperative ad-hoc UAV networks have been turning into the primary solution set for situations where establishing a communication infrastructure is not feasible. Search-and-rescue after a disaster and intelligence, surveillance, and reconnaissance (I
Externí odkaz:
http://arxiv.org/abs/2205.07126
A node equipped with a multi-beam antenna can achieve a throughput of up to m times as compared to a single-beam antenna, by simultaneously communicating on its m non-interfering beams. However, the existing multi-beam medium access control (MAC) sch
Externí odkaz:
http://arxiv.org/abs/2111.10073
When an unmanned aerial vehicle (UAV) network is utilized as an aerial small base station (BS), like a relay deployed far away from macro BSs, existing multicast methods based on acknowledgement (ACK) feedback and retransmissions may encounter severe
Externí odkaz:
http://arxiv.org/abs/2111.02509
Autor:
Krishna Moorthy, Sabarish, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, Guan, Zhangyu
Publikováno v:
In Computer Networks December 2023 237
Autor:
McManus, Maxwell, Cui, Yuqing, Zhang, Josh (Zhaoxi), Hu, Jiangqi, Moorthy, Sabarish Krishna, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, Guan, Zhangyu
Publikováno v:
In Computer Networks November 2023 236