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This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Jun Xu , Pengcheng Zhu , Jiamin Li , Xiaohu You

The uplink of interference-limited cellular networks with base stations that have large numbers of antennas and use linear Minimum-Mean-Square Error (MMSE) processing with power control is analyzed. Simple approximations, which are exact in…

Information Theory · Computer Science 2015-06-22 Siddhartan Govindasamy

In this paper, we consider a multiuser multiple-input multiple-output (MU-MIMO) communication system between a base station equipped with multiple antennas and multiple mobile users each equipped with a single antenna. The uplink scenario…

Information Theory · Computer Science 2014-09-23 Songtao Lu , Zhengdao Wang

A wireless network operator typically divides the radio spectrum it possesses into a number of subbands. In a cellular network those subbands are then reused in many cells. To mitigate co-channel interference, a joint spectrum and power…

Signal Processing · Electrical Eng. & Systems 2020-12-22 Yasar Sinan Nasir , Dongning Guo

This paper considers an uplink cellular system, in which each base station (BS) is equipped with a large number of antennas to serve multiple single-antenna user equipments (UEs) simultaneously. Uplink training with pilot reusing is adopted…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi zhang , Cong Shen

We investigate the possible performance gains of power control in multi-layer cellular systems where microcells and picocells are distributed within macrocells. Although multilayers in cellular networks help increase system capacity and…

Networking and Internet Architecture · Computer Science 2012-03-29 Kemal Davaslioglu , Ender Ayanoglu

In this paper, we employ a user-centric (UC) cell-free massive MIMO (CFmMIMO) network for providing ultra reliable low latency communication (URLLC) when traditional ground users (GUs) coexist with unmanned aerial vehicles (UAVs). We study…

Information Theory · Computer Science 2022-12-06 Mohamed Elwekeil , Alessio Zappone , Stefano Buzzi

In this paper, we consider device-to-device (D2D) communication that is underlaid in a multi-cell massive multiple-input multiple-output (MIMO) system and propose a new framework for power control and pilot allocation. In this scheme, the…

Information Theory · Computer Science 2019-03-07 Amin Ghazanfari , Emil Björnson , Erik G. Larsson

Optimizing radio transmission power and user data rates in wireless systems via power control requires an accurate and instantaneous knowledge of the system model. While this problem has been extensively studied in the literature, an…

Optimization and Control · Mathematics 2016-11-22 Euhanna Ghadimi , Francesco Davide Calabrese , Gunnar Peters , Pablo Soldati

Cell-free massive multiple input multiple output (MIMO) systems can provide reliable connectivity and increase user throughput and spectral efficiency of integrated sensing and communication (ISAC) systems. This can only be achieved through…

Signal Processing · Electrical Eng. & Systems 2024-12-25 Mohamed Elrashidy , Mudassir Masood , Ali Arshad Nasir

This paper considers the jointly optimal pilot and data power allocation in single-cell uplink massive multiple-input-multiple-output (MIMO) systems. Using the spectral efficiency (SE) as performance metric and setting a total energy budget…

Information Theory · Computer Science 2026-04-28 Hei Victor Cheng , Emil Björnson , Erik G. Larsson

In an extra-large scale MIMO (XL-MIMO) system, the antenna arrays have a large physical size that goes beyond the dimensions in traditional MIMO systems. Because of this large dimensionality, the optimization of an XL-MIMO system leads to…

Signal Processing · Electrical Eng. & Systems 2020-02-04 Abolfazl Amiri , Carles Navarro Manch'on , Elisabeth de Carvalho

Learning-based downlink power control in cell-free massive multiple-input multiple-output (CFmMIMO) systems offers a promising alternative to conventional iterative optimization algorithms, which are computationally intensive due to online…

Machine Learning · Computer Science 2024-12-02 Atchutaram K. Kocharlakota , Sergiy A. Vorobyov , Robert W. Heath

The emergence of new wireless technologies together with the requirement of massive connectivity results in several technical issues such as excessive interference, high computational demand for signal processing, and lengthy processing…

Signal Processing · Electrical Eng. & Systems 2021-10-25 Firas Fredj , Yasser Al-Eryani , Setareh Maghsudi , Mohamed Akrout , Ekram Hossain

In this study we derive novel optimal algorithms for joint power control and beamforming design in modern large-scale MIMO systems, such as those based on the cell-free massive MIMO and XL-MIMO concepts. In particular, motivated by the need…

Information Theory · Computer Science 2025-04-24 Lorenzo Miretti , Renato L. G. Cavalcante , Sławomir Stańczak

This paper studies the security aspect of a recently introduced network ("cell-free massive MIMO") under a pilot spoofing attack. Firstly, a simple method to recognize the presence of this type of an active eavesdropping attack to a…

Information Theory · Computer Science 2018-05-14 Tiep M. Hoang , Hien Quoc Ngo , Trung Q. Duong , Hoang D. Tuan , Alan Marshall

The model-based power allocation algorithm has been investigated for decades, but it requires the mathematical models to be analytically tractable and it usually has high computational complexity. Recently, the data-driven model-free…

Information Theory · Computer Science 2019-01-23 Fan Meng , Peng Chen , Lenan Wu , Julian Cheng

This letter develops an optimum beamforming method for downlink transmissions in cell-free massive multiple-input multiple-output (MIMO) systems, which employ a massive number of distributed access points to provide concurrent services to…

Signal Processing · Electrical Eng. & Systems 2020-06-11 Andong Zhou , Jingxian Wu , Erik G. Larsson , Pingzhi Fan

In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, the base…

Information Theory · Computer Science 2020-10-27 Noman Akbar , Emil Bjornson , Nan Yang , Erik G. Larsson

The impressive growth of wireless data networks has recently led to increased attention to the issue of electromagnetic pollution. Specific absorption rates and incident power densities have become popular indicators for measuring…

Information Theory · Computer Science 2024-10-28 Sergi Liesegang , Stefano Buzzi