卫星互联网若干关键技术研究
张更新， 王运峰， 丁晓进， 洪涛， 刘子威， 张晨 - 通信学报, 2021 - infocomm-journal.com
卫星互联网具备全球广域无缝覆盖能力, 是未来陆海空天一体化网络的重要组成部分. 首先,
讨论了卫星互联网体系架构, 包括系统一般组成, 组网方式, 工作过程等, 研究了卫星互联网场景 …
讨论了卫星互联网体系架构, 包括系统一般组成, 组网方式, 工作过程等, 研究了卫星互联网场景 …
Variational Bayesian inference clustering-based joint user activity and data detection for grant-free random access in mMTC
Tailor-made for massive connectivity and sporadic access, grant-free random access has
become a promising candidate access protocol for massive machine-type communications …
become a promising candidate access protocol for massive machine-type communications …
Performance analysis of uplink NOMA with constellation–rotated STLC for IoT networks
We investigate the uplink non-orthogonal multiple access (NOMA)-based Internet-of-Things
(IoT) networks, where each IoT device (station: STA) equipped with a single antenna …
(IoT) networks, where each IoT device (station: STA) equipped with a single antenna …
NOMA joint channel estimation and signal detection using rotational invariant codes and GMM-based clustering
A Salari, M Shirvanimoghaddam… - IEEE …, 2022 - ieeexplore.ieee.org
This letter studies the joint channel estimation and signal detection for the uplink power-
domain non-orthogonal multiple access. The proposed technique performs both detection …
domain non-orthogonal multiple access. The proposed technique performs both detection …
Robust received signal strength indicator (RSSI)-based multitarget localization via gaussian process regression
We consider the robust localization, via Gaussian process regression (GPR), of multiple
transmitters/targets based on received signal strength indicator (RSSI) data collected by …
transmitters/targets based on received signal strength indicator (RSSI) data collected by …
Robust training for RSSI-based localization
We consider the localization of multiple individ-ual moving transmitters (targets), based on
Gaussian process regression (GPR) using their corresponding received signal strength …
Gaussian process regression (GPR) using their corresponding received signal strength …
Heuristic Optimization-assisted Dilated Convolution Neural Network with Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System
V Kondepogu, B Bhattacharyya - IEEE Access, 2024 - ieeexplore.ieee.org
The “Non-Orthogonal Multiple Access (NOMA)” strategies has been recently identified as a
successful way to increase spectrum effectiveness and reliability of the system. NOMA …
successful way to increase spectrum effectiveness and reliability of the system. NOMA …
Design and analysis of clustering-based joint channel estimation and signal detection for NOMA
A Salari, M Shirvanimoghaddam… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
We propose a joint channel estimation and signal detection approach for the uplink non-
orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a …
orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a …
A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems
In this paper, we revisit a two-user space-time line coded uplink non-orthogonal multiple
access (STLC-NOMA) system for Internet-of-things (IoT) networks and propose a novel low …
access (STLC-NOMA) system for Internet-of-things (IoT) networks and propose a novel low …
Exploiting classifier diversity for efficient grant-free random access
Z Zhang, Y Liang, Y Li - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Massive Machine-Type Communications (mMTC) scenario features a massive number of
randomly activated user equipments (UEs). To efficiently support the random access for UEs …
randomly activated user equipments (UEs). To efficiently support the random access for UEs …