activity
20202024
most citedHybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems

20 citations · 34 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2024

Localization in Multipath Environments via Active Sensing with Reconfigurable Intelligent Surfaces

Yinghan Li, Wei Yu

This letter investigates an uplink pilot-based wireless indoor localization problem in a multipath environment for a single-input single-output (SISO) narrowband communication syst…

cs.LG2024★ 4 cited

Transfer Learning with Reconstruction Loss

Wei Cui, Wei Yu

In most applications of utilizing neural networks for mathematical optimization, a dedicated model is trained for each specific optimization objective. However, in many scenarios,…

cs.IT2024

Active Sensing for Reciprocal MIMO Channels

Tao Jiang, Wei Yu

This paper addresses the design of transmit precoder and receive combiner matrices to support independent data streams over a time-division duplex (TDD) point-to-point…

eess.SP2024★ 20 cited

Hybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems

Muhammad Sohaib, Sang-Woon Jeon, Wei Yu

We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be comput…

cs.IT2024

Joint Activity and Data Detection for Massive Grant-Free Access Using Deterministic Non-Orthogonal Signatures

Nam Yul Yu, Wei Yu

Grant-free access is a key enabler for connecting wireless devices with low latency and low signaling overhead in massive machine-type communications (mMTC). For massive grant-free…

cs.LG2023★ 6 cited

Reinforcement Learning with Non-Cumulative Objective

Wei Cui, Wei Yu

In reinforcement learning, the objective is almost always defined as a \emph{cumulative} function over the rewards along the process. However, there are many optimal control and re…

cs.IT2020

Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO

Zhilin Chen, Foad Sohrabi, Ya-Feng Liu +1

This paper considers a massive random access problem in which a large number of sporadically active devices wish to communicate with a base station (BS) equipped with massive multi…

eess.SP2020★ 4 cited

Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA

Shuchao Jiang, Xiaojun Yuan, Xin Wang +2

For massive machine-type communications, centralized control may incur a prohibitively high overhead. Grant-free non-orthogonal multiple access (NOMA) provides possible solutions,…