Jielei Wang

University of Electronic Science and Technology of China

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About

Jielei Wang is a leading researcher in Multi-Access Edge Computing (MEC), whose work focuses on optimizing computation offloading strategies for resource-constrained terminal devices. Wang’s most-cited paper, “Computation Offloading in Resource-Constrained Multi-Access Edge Computing” (2024, 23 citations), introduces novel methods that significantly enhance Quality of Experience (QoE) by coordinating task offloading to edge servers. This contribution addresses a critical challenge in MEC: ensuring well-coordinated actions among terminal devices to improve overall system performance. Wang’s research demonstrates how intelligent offloading decisions can balance computational load, reduce latency, and extend device battery life, making edge computing more practical for real-world applications. By tackling the fundamental tension between limited device resources and growing computational demands, Wang’s work provides a foundation for more efficient, scalable edge systems. With a growing citation record and clear impact on the MEC community, Jielei Wang is emerging as a key voice in the evolution of edge computing architectures, particularly for environments where device coordination is essential to system-wide efficiency.