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Related papers: Deep-Learning based Multiuser Detection for NOMA

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Non-orthogonal multiple access (NOMA) allows users sharing a resource-block to efficiently reuse spectrum and improve cell sum rate $\mathcal{R}_{\rm tot}$ at the expense of increased interference. Orthogonal multiple access (OMA), on the…

Information Theory · Computer Science 2021-02-02 Konpal Shaukat Ali , Ekram Hossain , Md. Jahangir Hossain

We introduce a neural network (NN)-based multiuser multiple-input multiple-output (MU-MIMO) receiver with 5G New Radio (5G NR) physical uplink shared channel (PUSCH) compatibility. The NN architecture is based on convolution layers to…

Out-of-distribution (OoD) detection techniques for deep neural networks (DNNs) become crucial thanks to their filtering of abnormal inputs, especially when DNNs are used in safety-critical applications and interact with an open and dynamic…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Changshun Wu , Weicheng He , Chih-Hong Cheng , Xiaowei Huang , Saddek Bensalem

Next-generation wireless networks require higher spectral efficiency and lower latency to meet the demands of various upcoming applications. Recently, non-orthogonal multiple access (NOMA) schemes are introduced in the literature for 5G and…

Signal Processing · Electrical Eng. & Systems 2023-09-19 Sanjeev Sharma , Kuntal Deka

Intelligent reflecting surface (IRS) enhanced multi-unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) networks are investigated. A new transmission framework is proposed, where multiple UAV-mounted base stations employ…

Information Theory · Computer Science 2021-10-07 Xidong Mu , Yuanwei Liu , Li Guo , Jiaru Lin , H. Vincent Poor

Non-orthogonal multiple access (NOMA) is a promising technology which meets the demands of massive connectivity in future wireless networks. Sparse code multiple access (SCMA) is a popular code-domain NOMA technique. The effectiveness of…

Information Theory · Computer Science 2021-02-16 Kuntal Deka , Minerva Priyadarsini , Sanjeev Sharma , Baltasar Beferull-Lozano

This paper proposes a deep learning based method for wideband near-field multi-user localization. In particular, the proposed approach utilizes the Zadoff-Chu (ZC) sequence based pilots to mitigate the inter-user interference, which in turn…

Signal Processing · Electrical Eng. & Systems 2026-05-06 Pearl Hetul Shah , Srikar Sharma Sadhu , Praful D. Mankar

This paper aims to handle the joint transmitter and noncoherent receiver design for multiuser multiple-input multiple-output (MU-MIMO) systems through deep learning. Given the deep neural network (DNN) based noncoherent receiver, the…

Signal Processing · Electrical Eng. & Systems 2020-04-15 Songyan Xue , Yi Ma , Na Yi , Rahim Tafazolli

Distributed antenna system (DAS) has been deployed for over a decade. DAS has advantages in capacity especially for the cell edge users, in both single-cell and multi-cell environments. In this paper, non-orthogonal multiple access (NOMA)…

Information Theory · Computer Science 2017-06-19 Dong-Jun Han , Minseok Choi , Jaekyun Moon

We study whether using non-orthogonal multiple access (NOMA) in the uplink of a mobile network can improve the performance over orthogonal multiple access (OMA) when the system requires ultra-reliable low-latency communications (URLLC). To…

Information Theory · Computer Science 2019-03-25 Sebastian Schiessl , Mikael Skoglund , James Gross

In this paper, we apply deep learning for communication over dispersive channels with power detection, as encountered in low-cost optical intensity modulation/direct detection (IM/DD) links. We consider an autoencoder based on the recently…

Information Theory · Computer Science 2019-10-03 Boris Karanov , Gabriele Liga , Vahid Aref , Domaniç Lavery , Polina Bayvel , Laurent Schmalen

This letter investigates a non-orthogonal multiple access (NOMA) assisted millimeter-wave device-to-device (D2D) network practically limited by multiple interference noises, transceiver hardware impairments, imperfect successive…

The rapid development of the mobile communications requires ever higher spectral efficiency. The non-orthogonal multiple access (NOMA) has emerged as a promising technology to further increase the access efficiency of wireless networks.…

Information Theory · Computer Science 2017-10-25 Weijie Yuan , Nan Wu , Qinghua Guo , Yonghui Li , Chengwen Xing , Jingming Kuang

Grant-free non-orthogonal multiple access (NOMA) is promising to achieve low latency massive access in Internet of Things (IoT) applications. In grant-free NOMA, pilot signals are often used for user activity detection (UAD) and channel…

Information Theory · Computer Science 2021-12-15 Yuanyuan Zhang , Zhengdao Yuan , Qinghua Guo , Zhongyong Wang , Jiangtao Xi , Yonghui Li

Ultra-dense networks (UDNs) represent a transformative access architecture for upcoming sixth generation (6G) systems, poised to meet the surging demand for high data rates. Achieving precise synchronization across diverse base stations…

Multiagent Systems · Computer Science 2025-04-08 Debjani Goswami , Indrakshi Dey , Nicola Marchetti , Suvra Sekhar Das

Non-orthogonal multiple access (NOMA) and spectrum sharing are two potential technologies for providing massive connectivity in beyond fifth-generation (B5G) networks. In this paper, we present the performance analysis of a…

Information Theory · Computer Science 2025-04-16 Vaibhav Kumar , Zhiguo Ding , Mark F. Flanagan

Non-Orthogonal Multiple Access (NOMA) is a promising technology for future Wi-Fi. In uplink NOMA, stations with different channel conditions transmit simultaneously at the same frequency by splitting the signal by power level. Since Wi-Fi…

Networking and Internet Architecture · Computer Science 2022-01-26 Grigory Korolev , Aleksey Kureev , Evgeny Khorov , Andrey Lyakhov

In this paper, we propose an impartial simultaneous wireless information and power transfer (SWIPT)-assisted cooperation mechanism for a non-orthogonal multiple access (NOMA) downlink scenario. Specifically, both a cell-center user and a…

Information Theory · Computer Science 2019-10-02 Weiyu Chen , Haiyang Ding , Shilian Wang , Daniel Benevides da Costa , Fengkui Gong

This letter investigates joint power control and user clustering for downlink non-orthogonal multiple access systems. Our aim is to minimize the total power consumption by taking into account not only the conventional transmission power but…

Information Theory · Computer Science 2018-05-09 Zhaohui Yang , Cunhua Pan , Wei Xu , Ming Chen

A closed-form analytical expression is derived for the limiting empirical squared singular value density of a spreading (signature) matrix corresponding to sparse low-density code-domain (LDCD) non-orthogonal multiple-access (NOMA) with…

Information Theory · Computer Science 2017-05-10 Ori Shental , Benjamin M. Zaidel , Shlomo Shamai