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One of the first widespread uses of multi-user multiple-input multiple-output (MU-MIMO) is in 5G networks, where each base station has an advanced antenna system (AAS) that is connected to the baseband unit (BBU) with a capacity-constrained…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Yasaman Khorsandmanesh , Emil Björnson , Joakim Jaldén

Base stations in 5G and beyond use advanced antenna systems (AASs), where multiple passive antenna elements and radio units are integrated into a single box. A critical bottleneck of such a system is the digital fronthaul between the AAS…

Signal Processing · Electrical Eng. & Systems 2022-02-21 Yasaman Khorsandmanesh , Emil Björnson , Joakim Jaldèn

Limited fronthaul capacity is a practical bottleneck in massive multiple-input multiple-output (MIMO) 5G architectures, where a base station (BS) consists of an advanced antenna system (AAS) connected to a baseband unit (BBU). Conventional…

Signal Processing · Electrical Eng. & Systems 2026-01-05 Yasaman Khorsandmanesh , Emil Bjornson , Joakim Jalden

This paper studies a downlink multi-user multiple-input multiple-output (MU-MIMO) system, where the precoding matrix is computed at a baseband unit (BBU) and then transmitted to the remote antenna array over a limited-capacity digital…

Signal Processing · Electrical Eng. & Systems 2026-03-02 Yasaman Khorsandmanesh , Alva Kosasih , Emil Björnson , Joakim Jaldén

This paper considers a multi-user multiple-input multiple-output (MU-MIMO) system where the precoding matrix is selected in a baseband unit (BBU) and then sent over a digital fronthaul to the transmitting antenna array. The fronthaul has a…

Signal Processing · Electrical Eng. & Systems 2024-06-28 Yasaman Khorsandmanesh , Emil Björnson , Joakim Jaldén

Limited capacity of fronthaul links in a cell-free massive multiple-input multiple-output (MIMO) system can cause quantization errors at a central processing unit (CPU) during data transmission, complicating the centralized rate…

Signal Processing · Electrical Eng. & Systems 2024-03-29 Minje Kim , In-soo Kim , Junil Choi

Many wireless systems divide the baseband processing between two locations, interconnected by a fronthaul. This paper examines the impact of fronthaul quantization on multiple-input multiple-output (MIMO) systems. Starting from a…

Signal Processing · Electrical Eng. & Systems 2026-04-14 Özlem Tuğfe Demir , Emil Björnson

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

Hybrid beamforming is known to be a cost-effective and wide-spread solution for a system with large-scale antenna arrays. This work studies the optimization of the analog and digital components of the hybrid beamforming solution for remote…

Information Theory · Computer Science 2019-03-15 Jaein Kim , Seok-Hwan Park , Osvaldo Simeone , Inkyu Lee , Shlomo Shamai

We consider cooperative radio access network architectures, especially distributed massive MIMO and Cloud RAN, considering their similarities and differences. We address in particular the major challenge posed to both by the implementation…

Information Theory · Computer Science 2018-05-28 Alister Burr , Manijeh Bashar , Dick Maryopi

This paper considers the uplink of a cloud radio access network (C-RAN) comprised of several multi-antenna remote radio units (RUs) which compress the signals that they receive from multiple mobile users (MUs) and forward them to a CU via…

Information Theory · Computer Science 2018-08-16 Marzieh Najafi , Vahid Jamali , Derrick Wing Kwan Ng , Robert Schober

Quantized massive multiple-input-multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a…

Information Theory · Computer Science 2017-04-24 Hela Jedda , Amine Mezghani , Josef A. Nossek , A. Lee Swindlehurst

This work studies the joint design of precoding and backhaul compression strategies for the downlink of cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via…

Information Theory · Computer Science 2015-06-15 Seok-Hwan Park , Osvaldo Simeone , Onur Sahin , Shlomo Shamai

Cell-free Massive multiple-input multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal…

Information Theory · Computer Science 2019-07-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Merouane Debbah , Pei Xiao

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Information Theory · Computer Science 2017-11-09 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

We investigate a fronthaul-limited cell-free massive multiple-input multiple-output (CF-mMIMO) system and propose a hybrid centralized-distributed precoding strategy that dynamically adapts to varying fronthaul and spectral efficiency (SE)…

Information Theory · Computer Science 2025-10-15 Zahra Mobini , Hien Quoc Ngo , Ardavan Rahimian , Anvar Tukmanov , David Townend , Michail Matthaiou , Simon L. Cotton

This paper considers a multi-user multiple-input multiple-output (MU-MIMO) system where the downlink communication between a base station (BS) and multiple user equipments (UEs) is aided by a reconfigurable intelligent surface (RIS). We…

Signal Processing · Electrical Eng. & Systems 2024-09-24 Parisa Ramezani , Yasaman Khorsandmanesh , Emil Björnson

The limited fronthaul capacity is known to be one of the main problems in cloud radio access networks (CRANs), especially in the wireless fronthaul links. In this paper, we consider the uplink of a CRAN system, where massive multiple-input…

Information Theory · Computer Science 2021-10-07 Dick Maryopi , Yingjia Huang , Aissa Ikhlef

In this paper, we consider an uplink heterogeneous cloud radio access network (H-CRAN), where a macro base station (BS) coexists with many remote radio heads (RRHs). For cost-savings, only the BS is connected to the baseband unit (BBU) pool…

Information Theory · Computer Science 2019-01-08 Wenchao Xia , Jun Zhang , Tony Q. S. Quek , Shi Jin , Hongbo Zhu

This paper considers a single-cell massive multiple-input multiple-output (MIMO) system equipped with a base station (BS) that uses one-bit quantization and investigates the energy efficiency (EE) and spectral efficiency (SE) trade-off. We…

Information Theory · Computer Science 2017-04-13 Yongzhi Li , Cheng Tao , Amine Mezghani , A. Lee Swindlehurst , Gonzalo Seco-Granados , Liu Liu
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