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We establish the optimal input signaling and the capacity of MIMO channels under per-antenna power constraint. While admitting a linear eigenbeam structure, the optimal input is no longer diagonalizable by the channel right singular vectors…

Information Theory · Computer Science 2015-03-19 Mai Vu

In this paper, we investigate the robust beamforming schemes for a multi-user multiple-input-single-output (MU-MISO) system with per-antenna power constraints and quantized channel direction information (CDI) feedback. Our design objective…

Signal Processing · Electrical Eng. & Systems 2020-03-18 Ming Ding , Meng Zhang , Hanwen Luo , Wen Chen

This paper proposes a novel low complexity joint bit and power suboptimal allocation algorithm for multicarrier systems operating in fading environments. The algorithm jointly maximizes the throughput and minimizes the transmitted power,…

Signal Processing · Electrical Eng. & Systems 2019-02-13 Ebrahim Bedeer , Octavia A. Dobre , Mohamed H. Ahmed , Kareem E. Baddour

The problem of minimizing the total power consumption while satisfying different quality-of-service (QoS) requirements in a two-hop multiple-input multiple-output network with a single non-regenerative relay is considered. As shown by Y.…

Information Theory · Computer Science 2013-03-13 Luca Sanguinetti , Antonio A. D'Amico

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Shuaifei Chen , Jiayi Zhang , Emil Björnson , Özlem Tuğfe Demir , Bo Ai

In cell-free massive multiple-input multiple-output (MIMO) the fluctuations of the channel gain from the access points to a user are large due to the distributed topology of the system. Because of these fluctuations, data decoding schemes…

Information Theory · Computer Science 2022-02-17 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Peng Jiang , Jiafei Fu , Pengcheng Zhu , Yan Wang , Jiangzhou Wang , Xiaohu You

The emerging millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with lens antenna arrays, which is also known as "beamspace MIMO", can effectively reduce the required number of power-hungry radio frequency (RF) chains.…

Information Theory · Computer Science 2020-08-25 Tian Xie , Linglong Dai , Derrick Wing Kwan Ng , Chan-Byoung Chae

The application of hybrid precoding in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems has been proved effective for reducing the number of radio frequency (RF) chains. However, the maximum number of independent data…

Information Theory · Computer Science 2017-09-11 Longzhuang He , Jintao Wang , Jian Song

This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Under the low-dimensional subspace perspective, we first…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Mintaek Oh , Jinseok Choi

Multiple-input multiple-output (MIMO) or multi-antenna communication is a key technique to achieve high spectral efficiency in wireless systems. For the point-to-point MIMO channel, it is a well-known result that the channel singular value…

Information Theory · Computer Science 2016-11-17 Liang Liu , Rui Zhang

Cell-free (CF) massive multiple-input multiple-output (mMIMO) systems are emerging as promising alternatives to cellular networks, especially in ultra-dense environments. However, further capacity enhancement requires the deployment of more…

Information Theory · Computer Science 2024-09-20 Enyu Shi , Jiayi Zhang , Jiancheng An , Guangyang Zhang , Ziheng Liu , Chau Yuen , Bo Ai

Cell-Free (CF) Massive multiple-input multiple-output(MIMO) is a distributed antenna system, wherein a large number of back-haul linked access points randomly distributed over a coverage area serve simultaneously a smaller number of users.…

Information Theory · Computer Science 2018-06-26 Salah Eddine Hajri , Juwendo Denis , Mohamad Assaad

In cell-free massive MIMO systems with multiple distributed access points (APs) serving multiple users over the same time-frequency resources, downlink beamforming is done through spatial precoding. Precoding vectors can be optimally…

Systems and Control · Electrical Eng. & Systems 2025-04-08 Mehdi Zafari , Divyanshu Pandey , Rahman Doost-Mohammady , César A. Uribe

This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology. The codebook of beamforming weights is built using the…

Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technology. Furthermore, linear precoders, e.g., using zero forcing…

Information Theory · Computer Science 2018-05-01 Kaipeng Li , Charles Jeon , Joseph R. Cavallaro , Christoph Studer

In this work, we propose iterative access point (AP) selection (APS), linear minimum mean-square error (MMSE) precoding and power allocation techniques for Cell-Free Massive multiple-input multiple-output (MIMO) systems. We consider the…

Information Theory · Computer Science 2021-04-13 V. Palhares , A. R. Flores , R. C. de Lamare

Integrated sensing and communications (ISAC) is envisioned as a key feature in future wireless communications networks. Its integration with massive multiple-input-multiple-output (MIMO) techniques promises to leverage substantial spatial…

Signal Processing · Electrical Eng. & Systems 2025-03-19 Nhan Thanh Nguyen , Van-Dinh Nguyen , Hieu V. Nguyen , Hien Quoc Ngo , A. Lee Swindlehurst , Markku Juntti

We present a mathematical analysis of linear precoders for downlink massive MIMO multiuser systems that employ one-bit digital-to-analog converters at the basestation in order to reduce complexity and mitigate power usage. The analysis is…

Information Theory · Computer Science 2016-10-24 Amodh Kant Saxena , Inbar Fijalkow , A. Lee Swindlehurst

This paper considers the power allocation of a single-link wireless communication with joint energy harvesting and grid power supply. We formulate the problem as minimizing the grid power consumption with random energy and data arrival, and…

Information Theory · Computer Science 2013-03-18 Jie Gong , Sheng Zhou , Zhisheng Niu
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