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Related papers: Iterative Detection and Decoding for Multiuser MIM…

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This work studies multiuser detection for one-bit massive multiple-input multiple-output (MIMO) systems in order to diminish the power consumption at the base station (BS). A low-complexity near-maximum-likelihood (nML) multiuser detection…

Information Theory · Computer Science 2018-06-11 Panos Alevizos

The advancement of wireless communication systems toward 5G and beyond is spurred by the demand for high data rates, exceedingly dependable low-latency communication, and extensive connectivity that aligns with sensing requisites such as…

Information Theory · Computer Science 2024-04-10 Mamady Delamou , El Mehdi Amhoud

This paper investigates a joint beamforming design in a multiuser multiple-input single-output (MISO) communication network aided with an intelligent reflecting surface (IRS) panel. The symbol-level precoding (SLP) is adopted to enhance the…

Information Theory · Computer Science 2021-09-01 Guangyang Zhang , Chao Shen , Bo Ai , Zhangdui Zhong

In this paper, we study a wireless packet broadcast system that uses linear network coding (LNC) to help receivers recover data packets that are missing due to packet erasures. We study two intertwined performance metrics, namely throughput…

Information Theory · Computer Science 2017-01-18 Mingchao Yu , Parastoo Sadeghi

Semi-definite relaxation (SDR) detector has been demonstrated to be successful in approaching maximum likelihood (ML) performance while the time complexity is only polynomial. We propose a new receiver jointly utilizing the forward error…

Information Theory · Computer Science 2018-08-17 Kun Wang , Zhi Ding

Despite being the subject of a growing body of research, non-orthogonal multiple access has failed to garner sufficient support to be included in modern standards. One of the more promising approaches to non-orthogonal multiple access is…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Dylan Wheeler , Erin E. Tripp , Balasubramaniam Natarajan

In this work, we investigate the decoding of Low-Density Parity-Check (LDPC) codes using informed dynamic scheduling algorithms that require a reduced number of iterations. In particular, we devise the weighted residual layered belief…

Information Theory · Computer Science 2024-10-18 H. Touati , R. C. de Lamare

Modern mobile terminals often produce a large number of small data packets. For these packets, it is inefficient to follow the conventional medium access control protocols because of poor utilization of service resources. We propose a novel…

Information Theory · Computer Science 2014-09-05 Ronggui Xie , Huarui Yin , Xiaohui Chen , Zhengdao Wang

This paper investigates an uplink multiuser massive multiple-input multiple-output (MIMO) system with one-bit analog-to-digital converters (ADCs), in which $K$ users with a single-antenna communicate with one base station (BS) with $n_r$…

Information Theory · Computer Science 2017-02-03 Seonho Kim , Namyoon Lee , Songnam Hong

Direct Low Earth Orbit satellite-to-handheld links are expected to be part of a new era in satellite communications. Space-Division Multiple Access precoding is a technique that reduces interference among satellite beams, therefore…

Signal Processing · Electrical Eng. & Systems 2023-03-22 Steffen Gracla , Alea Schröder , Maik Röper , Carsten Bockelmann , Dirk Wübben , Armin Dekorsy

We propose an iterative channel estimation algorithm based on the Least Square Estimation (LSE) and Sparse Message Passing (SMP) algorithm for the Millimeter Wave (mmWave) MIMO systems. The channel coefficients of the mmWave MIMO are…

Information Theory · Computer Science 2022-06-23 Chongwen Huang , Lei Liu , Chau Yuen , Sumei Sun

In this work we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation. State-of-the-art sparsity-based…

Information Theory · Computer Science 2018-09-19 Thomas L. Hansen , Peter B. Jørgensen , Mihai-Alin Badiu , Bernard H. Fleury

The main challenge of massive machine-type communications (mMTC) is the joint activity and signal detection of devices. The mMTC scenario with many devices transmitting data intermittently at low data rates and via very short packets…

Information Theory · Computer Science 2020-07-28 R. B. Di Renna , R. C. de Lamare

Widely-deployed encryption-based security prevents unauthorized decoding, but does not ensure undetectability of communication. However, covert, or low probability of detection/intercept (LPD/LPI) communication is crucial in many scenarios…

Information Theory · Computer Science 2015-06-02 Boulat A. Bash , Dennis Goeckel , Saikat Guha , Don Towsley

This work focuses on distributed linear precoding when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error…

Information Theory · Computer Science 2024-01-31 P. Suárez-Casal , J. P. González-Coma , O. Fresnedo , L. Castedo

The number of wireless devices which are connected to a single Wireless Local Area Network continues to grow each year. As a result, the orchestration of so many devices becomes a daunting, resource--consuming task, especially when the…

Information Theory · Computer Science 2023-01-19 George Vershinin , Asaf Cohen , Omer Gurewitz

Modulo-wrapping receivers have attracted interest in several areas of digital communications, including precoding and lattice coding. The asymptotic capacity and error performance of the modulo AWGN channel have been well established.…

Information Theory · Computer Science 2021-05-21 Gizem Tabak , Andrew Singer

Modern wireless machine-to-machine-type communications aim to provide both ultra reliability and low latency, stringent requirements that appear to be mutually exclusive. From the noisy channel coding theorem, we know that reliable…

Information Theory · Computer Science 2020-12-04 Diego Barragán Guerrero , Minh Au , Ghyslain Gagnon , François Gagnon , Pascal Giard

Massive MIMO OFDM waveforms help support a large number of users in the same time-frequency resource and also provide significant array gain for uplink reception in cellular systems. However, channel estimation in such large antenna systems…

Information Theory · Computer Science 2024-06-04 P Aswathylakshmi , Radha Krishna Ganti

Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input multiple-output (MIMO) systems is a practical solution to decrease power consumption. The performance gap between the low and high-resolution…

Information Theory · Computer Science 2023-10-05 Gökhan Yılmaz , Ali Özgür Yılmaz
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