Ergodic Capacity Analysis of MSK-Type Signal-Based Uplink Asynchronous NOMA With Imperfect CSI and SIC Over Generalized Fading Channels

Recently, asynchronous non-orthogonal multiple access (ANOMA), that can further enhance the performance of NOMA, has gained much attention. Considering the demands of resource-constrained wireless communications and green communications, power-efficient minimum shift keying-type (MSK-type) signals have also been introduced into uplink ANOMA, but they are only for a basic flat fading channel and perfect conditions. In this paper, an uplink ANOMA based on MSK-type signals with imperfect channel state information and successive interference cancellation over generalized fading channels is proposed, and its ergodic capacity is investigated. Specifically, the system model is first established. Then, a moment generating function (MGF)-based ergodic capacity expression applicable to general fading channels with known MGF is derived. Based on the expression, the integral expressions for the ergodic capacity over Rayleigh and Rician fading channels are exactly derived, respectively, and their closed-form expressions are also provided by exploiting the Gauss-Laguerre method. Further, their expressions with perfect conditions, asymptotic expressions at high signal-to-noise ratio (SNR), and high SNR slopes are also derived. The accuracy of the expression is verified by numerical and simulation results. It also shows the superiority of the proposed scheme over conventional OMA and ANOMA with linear modulation, and the relationship between system performance and time offsets, imperfect conditions, channel differences, and modulation formats.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-02-13
DOI
https://doi.org/10.1109/tvt.2025.3541817
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ergodic Capacity Analysis of MSK-Type Signal-Based Uplink Asynchronous NOMA With Imperfect CSI and SIC Over Generalized Fading Channels

Xiangbin Yu, Yunhang Lin, Chongzheng Hao, Sai Li et al.
1 links
IEEE Transactions on Vehicular Technology
Advanced Wireless Communication Technologies
article

Ergodic Capacity Analysis of MSK-Type Signal-Based Uplink Asynchronous NOMA With Imperfect CSI and SIC Over Generalized Fading Channels

Xiangbin Yu, Yunhang Lin, Chongzheng Hao, Sai Li, Jie Li, Mingkui Feng, Xiaoyu Dang
article en

Abstract

Recently, asynchronous non-orthogonal multiple access (ANOMA), that can further enhance the performance of NOMA, has gained much attention. Considering the demands of resource-constrained wireless communications and green communications, power-efficient minimum shift keying-type (MSK-type) signals have also been introduced into uplink ANOMA, but they are only for a basic flat fading channel and perfect conditions. In this paper, an uplink ANOMA based on MSK-type signals with imperfect channel state information and successive interference cancellation over generalized fading channels is proposed, and its ergodic capacity is investigated. Specifically, the system model is first established. Then, a moment generating function (MGF)-based ergodic capacity expression applicable to general fading channels with known MGF is derived. Based on the expression, the integral expressions for the ergodic capacity over Rayleigh and Rician fading channels are exactly derived, respectively, and their closed-form expressions are also provided by exploiting the Gauss-Laguerre method. Further, their expressions with perfect conditions, asymptotic expressions at high signal-to-noise ratio (SNR), and high SNR slopes are also derived. The accuracy of the expression is verified by numerical and simulation results. It also shows the superiority of the proposed scheme over conventional OMA and ANOMA with linear modulation, and the relationship between system performance and time offsets, imperfect conditions, channel differences, and modulation formats.

IEEE Transactions on Vehicular TechnologyVol. 74(6)
Hangzhou Dianzi University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 98%
Advanced Wireless Communication Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.