Optimal sampling and scheduling for timely status updates in multi-source networks

AM Bedewy, Y Sun, S Kompella… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We consider a joint sampling and scheduling problem for optimizing data freshness in multi-
source systems. Data freshness is measured by a non-decreasing penalty function of age of …

Age-optimal sampling and transmission scheduling in multi-source systems

AM Bedewy, Y Sun, S Kompella, NB Shroff - Proceedings of the …, 2019 - dl.acm.org
In this paper, we consider the problem of minimizing the age of information in a multi-source
system, where samples are taken from multiple sources and sent to a destination via a …

Performance analysis of wireless network aided by discrete-phase-shifter IRS

R Dong, Y Teng, Z Sun, J Zou, M Huang… - Journal of …, 2022 - ieeexplore.ieee.org
Discrete phase shifter of intelligent reflecting surface (IRS) generates phase quantization
error (QE) and degrades the receive performance at the receiver. To make an analysis of the …

Delay-optimal dynamic mode selection and resource allocation in device-to-device communications—Part I: Optimal policy

L Lei, Y Kuang, N Cheng, XS Shen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper (Part I and Part II), we investigate the optimal dynamic mode selection and
resource allocation to minimize the average end-to-end delay under a dropping probability …

Delay-optimal dynamic mode selection and resource allocation in device-to-device communications—Part II: Practical algorithm

L Lei, Y Kuang, N Cheng, X Shen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In Part I of this paper (“Delay-Optimal Dynamic Mode Selection and Resource Allocation in
Device-to-Device Communications-Part I: Optimal Policy”), we investigated dynamic mode …

Scheduling for mobile edge computing with random user arrivals—An approximate MDP and reinforcement learning approach

S Huang, B Lv, R Wang, K Huang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we investigate the scheduling design of a mobile edge computing (MEC)
system, where active mobile devices with computation tasks randomly appear in a cell …

Federated learning over wireless channels: Dynamic resource allocation and task scheduling

S Chu, J Li, J Wang, Z Wang, M Ding… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the development of federated learning (FL), mobile devices (MDs) are able to train their
local models with private data and send them to a central server for aggregation, thereby …

Network function virtualization resource allocation based on joint benders decomposition and ADMM

Y Yu, X Bu, K Yang, HK Nguyen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) has emerged as a new technology to reduce the cost of
hardware deployment. It is an architecture that using virtualized functions run on the virtual …

Delay-aware wireless powered communication networks—Energy balancing and optimization

Q Yao, A Huang, H Shan, TQS Quek… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In a wireless powered communication network, where user equipments (UEs) harvest radio
frequency energy from an access point (AP) and send data to the AP, there exists the near …

Power–delay tradeoff in wireless powered communication networks

J Yang, Q Yang, KS Kwak… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we investigate the power-delay tradeoff for the newly emerging wireless
powered communication networks, in which wireless powered devices (WPDs) harvest …