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相关论文: Pilot-Based Unsourced Random Access with a Massive…

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Grant-free access schemes are candidates to support future massive multiple access applications owing to their capability to reduce control signaling and latency. As a promising class of grant-free schemes, coded random access schemes can…

信息论 · 计算机科学 2022-08-25 Lorenzo Valentini , Marco Chiani , Enrico Paolini

In this paper, we propose a novel fully Bayesian approach for the massive multiple-input multiple-output (MIMO) massive unsourced random access (URA). The payload of each user device is coded by the sparse regression codes (SPARCs) without…

信息论 · 计算机科学 2023-06-28 Jia-Cheng Jiang , Hui-Ming Wang

In this paper we study the long-term throughput performance of repetition protocols coupled with power control for multiple access block-fading channels. We propose to use the feedback bits to inform the transmitter about the decoding…

信息论 · 计算机科学 2010-09-24 Davide Barbieri , Daniela Tuninetti

In this work, we propose the joint optimization of the automatic gain control (AGC), which works in the remote radio heads (RHHs), and a low-resolution aware (LRA) linear receive filter based on the minimum mean square error (MMSE), which…

信息论 · 计算机科学 2019-12-16 T. Cunha , R. C. de Lamare , T. N. Ferreira

Emerging communication networks are envisioned to support massive wireless connectivity of heterogeneous devices with sporadic traffic and diverse requirements in terms of latency, reliability, and bandwidth. Providing multiple access to an…

信息论 · 计算机科学 2023-04-19 Sajad Daei , Marios Kountouris

We derive an achievability bound to quantify the performance of a type-based unsourced multiple access system -- an information-theoretic model for grant-free multiple access with correlated messages. The bound extends available…

信息论 · 计算机科学 2025-04-29 Deekshith Pathayappilly Krishnan , Kaan Okumus , Khac-Hoang Ngo , Giuseppe Durisi

This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and…

信息论 · 计算机科学 2015-06-19 Qi Zhang , Shi Jin , Kai-Kit Wong , Hongbo Zhu , Michail Matthaiou

This paper considers a Strongly Asynchronous and Slotted Massive Access Channel (SAS-MAC) where $K_n:=e^{n\nu}$ different users transmit a randomly selected message among $M_n:=e^{nR}$ ones within a strong asynchronous window of length…

信息论 · 计算机科学 2018-07-27 Sara Shahi , Daniela Tuninetti , Natasha Devroye

Training-based transmission over Rayleigh block-fading multiple-input multiple-output (MIMO) channels is investigated. As a training method a combination of a pilot-assisted scheme and a biased signaling scheme is considered. The achievable…

信息论 · 计算机科学 2016-11-18 Keigo Takeuchi , Ralf R. Mueller , Mikko Vehkaperae , Toshiyuki Tanaka

Unsourced multiple access abstracts grantless simultaneous communication of a large number of devices (messages) each of which transmits (is transmitted) infrequently. It provides a model for machine-to-machine communication in the Internet…

信号处理 · 电气工程与系统科学 2019-12-13 Robert Calderbank , Andrew Thompson

This article introduces a novel communication paradigm for the unsourced, uncoordinated Gaussian multiple access problem. The major components of the envisioned framework are as follows. The encoded bits of every message are partitioned…

Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas. The interference is particularly diverse in cell-free massive multiple-input…

信号处理 · 电气工程与系统科学 2024-04-19 Mahmoud Zaher , Emil Björnson , Marina Petrova

The construction of preamble sequences for channel estimation by superposition of orthogonal pilots can improve performance of massive grant-free uplink from machine-type devices. In this letter, a technique is proposed to obtain full…

信息论 · 计算机科学 2023-12-25 Lorenzo Valentini , Elena Bernardi , Enrico Paolini

Wireless random access protocols are attracting a revived research interest as a simple yet effective solution for machine-type communications. In the quest to improve reliability and spectral efficiency of such schemes, the use of multiple…

信息论 · 计算机科学 2019-03-11 Andrea Munari , Federico Clazzer , Gianluigi Liva , Michael Heindlmaier

To improve signal-to-interference ratio (SIR) and make better use of file diversity provided by random caching, we consider two types of linear receivers, i.e., maximal ratio combining (MRC) receiver and partial zero forcing (PZF) receiver,…

信息论 · 计算机科学 2018-01-10 Dongdong Jiang , Ying Cui

In this paper we focus on a feedback mechanism for unsourced random access (URA) communications. We propose an algorithm to construct feedback packets broadcasted to the users by the base station (BS) as well as the feedback packet format…

This paper considers an uplink massive machine-type communication (mMTC) scenario, where a large number of user devices are connected to a base station (BS). A novel grant-free massive random access (MRA) strategy is proposed, considering…

信息论 · 计算机科学 2021-02-23 Jia-Cheng Jiang , Hui-Ming Wang

Data aggregation is a promising approach to enable massive machine-type communication (mMTC). Here, we first characterize the aggregation phase where a massive number of machine-type devices transmits to their respective aggregator. By…

网络与互联网体系结构 · 计算机科学 2019-06-27 Onel L. Alcaraz López , Hirley Alves , Pedro H. J. Nardelli , Matti Latva-aho

This paper investigates the maximum coding rate at which data can be transmitted over a noncoherent, multiple-input, multiple-output (MIMO) Rayleigh block-fading channel using an error-correcting code of a given blocklength with a…

信息论 · 计算机科学 2025-11-19 Chao Qi , Tobias Koch

In this work we demonstrate how a lack of synchronization can in fact be advantageous in the problem of random access. Specifically, we consider a multiple-access problem over a frame-asynchronous 2-user binary-input adder channel in the…

信息论 · 计算机科学 2023-05-12 Alexander Fengler , Alejandro Lancho , Krishna Narayanan , Yury Polyanskiy