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This paper studies the robustness of type-based multiple access (TBMA) in over-the-air computation (AirComp) under nonparametric estimation, where no prior knowledge of the data distribution is available. While conventional AirComp…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Marc Martinez-Gost , Ana Pérez-Neira , Miguel Ángel Lagunas

In massive connectivity scenarios with short packets, of interest is the regime where users share wireless resources in a non-orthogonal fashion. Small payloads combined with sporadic user activation call for approaches that jointly address…

Signal Processing · Electrical Eng. & Systems 2021-01-12 Johannes Dommel , Zoran Utkovski , Petar Popovski , Slawomir Stanczak

Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has recently received significant research attention due to its outstanding ability of serving grant-free (GF) users with grant-based (GB) users' spectrum,…

Information Theory · Computer Science 2022-12-07 Huabing Lu , Xianzhong Xie , Zhaoyuan Shi , Hongjiang Lei , Helin Yang , Jun Cai

A two-way relay non-orthogonal multiple access (TWR-NOMA) system is investigated, where two groups of NOMA users exchange messages with the aid of one half-duplex (HD) decode-and-forward (DF) relay. Since the…

Information Theory · Computer Science 2019-01-23 Xinwei Yue , Yuanwei Liu , Shaoli Kang , Arumugam Nallanathan , Yue Chen

In this paper, we discuss the potential for improvement of the simple random access scheme by utilizing local information such as the received signal-to-interference-plus-noise-ratio (SINR). We propose a spatially adaptive random access…

Information Theory · Computer Science 2015-05-05 Dong Min Kim , Seong-Lyun Kim

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

This work proposes a novel location-based multi-group multicast framework which is termed as non-orthogonal multiple access (NOMA) assisted multi-region geocast. This novel spectrum sharing framework exploits the NOMA technology to realize…

Information Theory · Computer Science 2017-11-30 Yi Zhang , Hui-Ming Wang , Zhiguo Ding , Moon Ho Lee

Over-the-air computation (OAC) is a promising technique to achieve fast model aggregation across multiple devices in federated edge learning (FEEL). In addition to the analog schemes, one-bit digital aggregation (OBDA) scheme was proposed…

Information Theory · Computer Science 2023-05-19 Li Qiao , Zhen Gao , Zhongxiang Li , Deniz Gündüz

We present finite-blocklength achievability bounds for the unsourced A-channel. In this multiple-access channel, users noiselessly transmit codewords picked from a common codebook with entries generated from a $q$-ary alphabet. At each…

Information Theory · Computer Science 2022-10-06 Alejandro Lancho , Alexander Fengler , Yury Polyanskiy

Massive MIMO and non-orthogonal multiple access (NOMA) are crucial methods for future wireless systems as they provide many advantages over conventional systems. Power-domain NOMA methods are investigated in massive MIMO systems, whereas…

Information Theory · Computer Science 2020-10-13 Murat Bayraktar , Gokhan Muzaffer Guvensen

We propose a novel nonorthogonal multiple access (NOMA) scheme referred as adaptive constellation multiple access (ACMA) which addresses key limitations of existing NOMA schemes for beyond 5G wireless systems. Unlike the latter, that are…

Information Theory · Computer Science 2024-03-01 Indu L. Shakya , Falah H. Ali

To cope with the explosive traffic growth of next-generation wireless communications, it is necessary to design next-generation multiple access techniques that can provide higher spectral efficiency as well as larger-scale connectivity. As…

Information Theory · Computer Science 2021-07-28 Xinyue Pei , Yingyang Chen , Miaowen Wen , Hua Yu , Erdal Panayirci , H. Vincent Poor

Grant-free transmission is an important feature to be supported by future wireless networks since it reduces the signalling overhead caused by conventional grant-based schemes. However, for grant-free transmission, the number of users…

Information Theory · Computer Science 2018-12-20 Zhiguo Ding , Robert Schober , Pingzhi Fan , H. Vincent Poor

In this paper, we consider uplink transmissions involving multiple users communicating with a base station over a fading channel. We assume that the base station does not coordinate the transmissions of the users and hence the users employ…

Computer Science and Game Theory · Computer Science 2009-08-25 Nitin Salodkar , Abhay Karandikar

Non-Orthogonal Multiple Access (NOMA) technology has emerged as a promising technology to enable massive connectivity and enhanced spectral efficiency in next-generation wireless networks. In this study, we propose a novel two-user downlink…

Information Theory · Computer Science 2025-12-19 Emirhan Zor , Bora Bozkurt , Ferkan Yilmaz

In machine-type communication (MTC), random access has been employed for a number of devices and sensors to access uplink channels using a pool of preambles. To support different priorities due to various quality-of-service (QoS)…

Information Theory · Computer Science 2020-10-06 Jinho Choi

This paper introduces a novel non-orthogonal multiple access (NOMA) concept named waveform-domain NOMA, which proposes the coexistence of different waveforms in the same resource element (RE). Regarding the demands of each user equipments…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Mehmet Mert Şahin , Hüseyin Arslan

Non-orthogonal multiple access (NOMA) is a key technology to enable massive machine type communications (mMTC) in 5G networks and beyond. In this paper, NOMA is applied to improve the random access efficiency in high-density…

Networking and Internet Architecture · Computer Science 2024-10-28 Sami Khairy , Prasanna Balaprakash , Lin X. Cai , H. Vincent Poor

Unsupervised Domain Adaptation (UDA) aims to learn a predictor model for an unlabeled domain by transferring knowledge from a separate labeled source domain. However, most of these conventional UDA approaches make the strong assumption of…

Machine Learning · Computer Science 2021-04-06 Sk Miraj Ahmed , Dripta S. Raychaudhuri , Sujoy Paul , Samet Oymak , Amit K. Roy-Chowdhury

We consider a coded compressed sensing approach for the unsourced random access and replace the outer tree code proposed by Amalladinne et al. with the list recoverable code capable of correcting t errors. A finite-length random coding…

Information Theory · Computer Science 2022-01-20 Kirill Andreev , Pavel Rybin , Alexey Frolov
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