Search

Your search keyword '"Zhou, Jiasi"' showing total 19 results
Start Over Author "Zhou, Jiasi"
19 results on '"Zhou, Jiasi"'

1. Joint Uplink and Downlink Rate Splitting for Fog Computing-Enabled Internet of Medical Things

Author

Zhou, Jiasi, Chen, Yan, Zhou, Cong, and Sun, Yanjing

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

The Internet of Medical Things (IoMT) facilitates in-home electronic healthcare, transforming traditional hospital-based medical examination approaches. This paper proposes a novel transmit scheme for fog computing-enabled IoMT that leverages uplink and downlink rate splitting (RS). Fog computing allows offloading partial computation tasks to the edge server and processing the remainder of the tasks locally. The uplink RS and downlink RS utilize their flexible interference management capabilities to suppress offloading and feedback delay. Our overarching goal is to minimize the total time cost for task offloading, data processing, and result feedback. The resulting problem requires the joint design of task offloading, computing resource allocation, uplink beamforming, downlink beamforming, and common rate allocation. To solve the formulated non-convex problem, we introduce several auxiliary variables and then construct accurate surrogates to smooth the achievable rate. Moreover, we derive the optimal computation resource allocation per user with closed-form expressions. On this basis, we recast the computing resource allocation and energy consumption at the base station to a convex constraint set. We finally develop an alternating optimization algorithm to update the auxiliary variable and inherent variable alternately. Simulation results show that our transmit scheme and algorithm exhibit considerable performance enhancements over several benchmarks., Comment: submitted to IEEE Transactions on Cognitive Communications and Networking

Published
2024

4. Precoding design and performance analysis of wireless communication system under industrial impulsive noise

Author

LI Xinyan, ZHANG Xiaoguang, WANG Yanfen, ZHOU Jiasi, and SUN Yanjing1

Subjects
industrial wireless communication, orthogonal frequency division multiplexing, precoding, transmitter, receiver, industrial pulse noise suppression, bit error rate, deep reduction, Mining engineering. Metallurgy, TN1-997
Abstract

Industrial impulse noise in mining and other scenes can lead to burst data errors in wireless communication systems, significantly reducing data transmission reliability and communication quality. Most of the existing anti-impulse noise studies can only guarantee the effectiveness or reliability of communication systems. However, the task applications in industrial wireless communication scenes put forward high requirements on both effectiveness and reliability, and a single performance study cannot meet the needs. In order to solve the above problems, comprehensively considering the size of industrial equipment and design complexity, a multi-user multiple-input single-output (MU-MISO) orthogonal frequency division multiplexing (OFDM) system model combining receiver and transmitter design is established. At the transmitter, a precoding algorithm based on quadratic conversion is designed to maximize the system sum-rate. The quadratic type is used to decouple the coupled precoding vector to reduce computational complexity. At the receiver, a deep reduction impulse noise elimination scheme is designed to reduce the bit error rate and improve the reliability of industrial wireless communication. The simulation results show that under the Middleton Class A (MCA) noise model, the system and rate of the quadratic conversion-based precoding algorithm and the semi-definite relaxation (SDR) algorithm are very similar, verifying the effectiveness of the proposed precoding algorithm. Compared with the mainstream three nonlinear impulse noise elimination schemes of blanking, reduction and mixing, the deep reduction impulse noise elimination scheme has the highest output signal-to-noise ratio and the lowest bit error rate. The bit error rate is 24%, which is lower than that of the mainstream best scheme. The model has the optimal performance.

Published
2021
Full Text
View/download PDF

8. Artificial Noise Assisted Secure Transmission for Uplink MIMO Rate Splitting Healthcare Systems

Author

Zhou, Jiasi, Hou, Wenjun, Mao, Yijie, and Tellambura, Chintha

Abstract

The matter of information security within healthcare systems holds paramount importance. Therefore, the purpose of this letter is to enhance the secure communication for the uplink multiple-input multiple-output (MIMO) wiretap channel. Our objective is to augment the secrecy rate for legitimate users (LUs). We present a novel system that incorporates uplink rate splitting (RS) and a cooperative jamming scheme. The base station operates as a jammer, introducing artificial noise (AN) to prevent the leakage of information. Specifically, we optimize the transmit beamforming for the LUs and the AN covariance, with the aim of maximizing the minimum secrecy rate across all LUs. For this, we develop precise surrogate functions for the non-convex secrecy rates and propose an iterative alternating optimization (AO) algorithm. This algorithm updates auxiliary variables and transmit beamforming iteratively. Simulation results demonstrate the superiority of our proposed scheme over existing benchmarks, resulting in significant gains in secrecy rates.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results