Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Ying-Jun Angela Zhang"'
Publikováno v:
Network, Vol 4, Iss 3, Pp 367-389 (2024)
Ensuring high reliability and low latency poses challenges for numerous applications that require rigid performance guarantees, such as industrial automation and autonomous vehicles. Our research primarily concentrates on addressing the real-time req
Externí odkaz:
https://doaj.org/article/b48bc56457bf4bd08ec9ed680def7a76
Publikováno v:
IEEE Transactions on Power Systems. :1-14
Publikováno v:
IEEE Transactions on Wireless Communications. 21:10515-10528
Publikováno v:
IEEE Transactions on Wireless Communications. 21:8354-8367
Device-edge co-inference opens up new possibilities for resource-constrained wireless devices (WDs) to execute deep neural network (DNN)-based applications with heavy computation workloads. In particular, the WD executes the first few layers of the D
Publikováno v:
IEEE Transactions on Wireless Communications. 21:5629-5643
Publikováno v:
IEEE Transactions on Wireless Communications. 21:3208-3221
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 16:880-882
Publikováno v:
IEEE Wireless Communications. 29:170-177
Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly prosperous delay-sensitive and computation-intensive applications in 5G systems. To achieve optimum computation performance in a dynamic MEC environment, mobile devic
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:308-322
Publikováno v:
IEEE Transactions on Wireless Communications. 20:7519-7537
Opportunistic computation offloading is an effective method to improve the computation performance of mobile-edge computing (MEC) networks under dynamic edge environment. In this paper, we consider a multi-user MEC network with time-varying wireless