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To utilize the full potential of the available power at a base station (BS), we propose a joint precoding, antenna selection, and transmit power control algorithm for a total power budget at the BS. We formulate a sum spectral efficiency…

Signal Processing · Electrical Eng. & Systems 2025-08-08 Jiwon Sung , Seokjun Park , Jinseok Choi

Large-scale distributed antenna systems with many access points (APs) that serve the users by coherent joint transmission is being considered for 5G-and-beyond networks. The technology is called Cell-free Massive MIMO and can provide a more…

Information Theory · Computer Science 2020-06-30 Trinh Van Chien , Emil Björnson , Erik G. Larsson

We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-antenna users in the same time-frequency resource. A simple…

Information Theory · Computer Science 2017-11-27 Hien Quoc Ngo , Le-Nam Tran , Trung Q. Duong , Michail Matthaiou , Erik G. Larsson

Massive multi-user (MU) multiple-input multiple- output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs)…

Information Theory · Computer Science 2016-12-09 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

We consider downlink precoding in a frequency-selective multi-user Massive MIMO system with highly efficient but non-linear power amplifiers at the base station (BS). A low-complexity precoding algorithm is proposed, which generates…

Information Theory · Computer Science 2013-05-08 Saif Khan Mohammed , Erik G. Larsson

In this paper, a new optimization framework is presented for the joint design of user selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple-output (MU-MIMO) systems when imperfect channel state…

Information Theory · Computer Science 2019-02-05 Jiwook Choi , Namyoon Lee , Song-Nam Hong , Giuseppe Caire

This paper presents an innovative movable antenna (MA)-enhanced multi-user multiple-input multiple-output (MIMO) downlink system. We aim to maximize the energy efficiency (EE) under statistical channel state information (S-CSI) through a…

Information Theory · Computer Science 2025-09-16 Xintai Chen , Biqian Feng , Yongpeng Wu , Xiang-Gen Xia , Chengshan Xiao

Reconfigurable intelligent surfaces (RISs) have huge potential to improve spectral and energy efficiency in future wireless systems at a minimal cost. However, early prototype results indicate that deploying hundreds or thousands of…

Signal Processing · Electrical Eng. & Systems 2024-12-12 Eduard E. Bahingayi , Nemanja Stefan Perović , Le-Nam Tran

Millimeter-wave (mmWave) communication operated in frequency bands between 30 and 300 GHz has attracted extensive attention due to the potential ability of offering orders of magnitude greater bandwidths combined with further gains via…

Information Theory · Computer Science 2017-01-09 Shiwen He , Chenhao Qi , Yongpen Wu , Yongming Huang

We propose a downlink beamforming scheme that combines spatial division and orthogonal space-time block coding (OSTBC) in multi-user massive MIMO systems. The beamformer is divided into two parts: a pre-beamforming matrix to separate the…

Information Theory · Computer Science 2018-09-12 Ke-Wen Huang , Hui-Ming Wang , Jia Hou , Shi Jin

Large multiple-input multiple-output (MIMO) networks promise high energy efficiency, i.e., much less power is required to achieve the same capacity compared to the conventional MIMO networks if perfect channel state information (CSI) is…

Information Theory · Computer Science 2015-06-17 An Liu , Vincent Lau

In the cell-free massive multiple-input multiple-output (CF mMIMO) system, the centralized transmission scheme is widely adopted to manage the inter-user interference. Unfortunately, its implementation is limited by the extensive signaling…

Signal Processing · Electrical Eng. & Systems 2022-08-02 Hongkang Yu , Xinquan Ye , Yijian Chen

This work investigates the downlink performance of a multi-cell massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in the receiving and…

Information Theory · Computer Science 2023-03-08 Qurrat-Ul-Ain Nadeem , Anas Chaaban

This work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its…

Information Theory · Computer Science 2016-06-02 Houssem Sifaou , Abla Kammoun , Mohamed-Slim Alouini

Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performance loss. However, most of the existing hybrid precoding…

Information Theory · Computer Science 2017-08-25 Xinyu Gao , Linglong Dai , Ying Sun , Shuangfeng Han , I Chih-Lin

The stacked intelligent metasurface (SIM), comprising multiple layers of reconfigurable transmissive metasurfaces, is becoming an increasingly viable solution for future wireless communication systems. In this paper, we explore the…

Information Theory · Computer Science 2025-04-23 Enyu Shi , Jiayi Zhang , Jiancheng An , Marco Di Renzo , Bo Ai , Chau Yuen

Massive MIMO systems are moving toward increased numbers of radio frequency chains, higher carrier frequencies and larger bandwidths. As such, digital-to-analog converters (DACs) are becoming a bottleneck in terms of hardware complexity and…

Systems and Control · Electrical Eng. & Systems 2025-07-16 Thomas Feys , Liesbet Van der Perre , François Rottenberg

The amalgamation of cell-free networks and reconfigurable intelligent surface (RIS) has become a prospective technique for future sixth-generation wireless communication systems. In this paper, we focus on the precoding and beamforming…

Information Theory · Computer Science 2023-11-23 Peng Zhang , Jiayi Zhang , Huahua Xiao , Xiaodan Zhang , Derrick Wing Kwan Ng , Bo Ai

Maintaining high energy efficiency (EE) in wireless networks is crucial, particularly with the adoption of massive MIMO technology. This work introduces a resource allocation framework that jointly optimizes transmit power assigned to each…

Signal Processing · Electrical Eng. & Systems 2026-05-27 Siddarth Marwaha , Pawel Kryszkiewicz , Eduard Jorswieck

This article is on the energy efficient precoder design in multi-user multiple-input-multiple-output (MU-MIMO) systems which is also robust with respect to the imperfect channel state information (CSI) at the transmitters. In other words,…

Information Theory · Computer Science 2018-11-16 Hossein Vaezy , Mohammad Javad Omidi , Halim Yanikomeroglu