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This paper investigates the energy efficiency (EE) optimization in downlink multi-cell massive multiple-input multiple-output (MIMO). In our research, the statistical channel state information (CSI) is exploited to reduce the signaling…

Information Theory · Computer Science 2021-09-06 Li You , Yufei Huang , Di Zhang , Zheng Chang , Wenjin Wang , Xiqi Gao

We consider the problem of coordinated multi- cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we…

Information Theory · Computer Science 2015-04-09 Subhash Lakshminarayana , Mohamad Assaad , Merouane Debbah

Massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems have recently been proposed as a novel combination of spatial modulation (SM) and of conventional massive MIMO, where the base station (BS) is equipped with a…

Information Theory · Computer Science 2016-12-28 Longzhuang He , Jintao Wang , Jian Song , Lajos Hanzo

This paper considers wireless uplink information and downlink power transfer in cell-free massive multiple-input multiple-output systems. The single-antenna user equipments (UEs) utilize the energy harvested in the downlink to transmit…

Information Theory · Computer Science 2020-11-13 Özlem Tuğfe Demir , Emil Björnson

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas, deployed on co-located or distributed arrays. Huge spatial degrees-of-freedom are…

Information Theory · Computer Science 2015-04-30 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Linear processing in the spatial domain at the base stations (BSs) and at the users of MIMO cellular systems enables the control of both inter-cell and intra-cell interference. A number of iterative algorithms have been proposed that allow…

Information Theory · Computer Science 2014-08-25 Tariq Elkourdi , Osvaldo Simeone , Onur Sahin , Shlomo Shamai

This paper considers a cell-free massive multiple-input multiple-output (MIMO) system that consists of a large number of geographically distributed access points (APs) serving multiple users via coherent joint transmission. The downlink…

Signal Processing · Electrical Eng. & Systems 2022-09-15 Mahmoud Zaher , Özlem Tuğfe Demir , Emil Björnson , Marina Petrova

In this work, we consider the downlink of a multi-cell multiple-input multiple-output (MIMO) system and find the jointly optimal number of base station (BS) antennas and transmission powers that minimize the power consumption while…

Information Theory · Computer Science 2019-02-22 Kamil Senel , Emil Björnson , Erik G. Larsson

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

In this paper power allocation in a cellular network, which transmitter uses massive multiple inputs multiple outputs (MIMO) system was studied. As circuit power consumption is increased by the number of antenna in transmitter and users,…

Signal Processing · Electrical Eng. & Systems 2019-01-03 Saeed Sadeghi Vilni

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

Information Theory · Computer Science 2014-11-18 Liangbin Li , Alexei Ashikhmin , Thomas Marzetta

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

This paper focuses on the use of a deep learning approach to perform sum-rate-max and max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we train a deep neural network in order to learn the mapping…

Information Theory · Computer Science 2019-08-30 Carmen D'Andrea , Alessio Zappone , Stefano Buzzi , Merouane Debbah

We consider the uplink of massive multicell multiple-input multiple-output systems, where the base stations (BSs), equipped with massive arrays, serve simultaneously several terminals in the same frequency band. We assume that the BS…

Information Theory · Computer Science 2015-01-09 Hien Quoc Ngo , Michail Matthaiou , Erik G. Larsson

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

A cellular multiple-input multiple-output (MIMO) downlink system is studied in which each base station (BS) transmits to some of the users, so that each user receives its intended signal from a subset of the BSs. This scenario is referred…

Information Theory · Computer Science 2013-02-12 Saeed Kaviani , Osvaldo Simeone , Witold A Krzymień , Shlomo Shamai

The paper considers a scenario where a base station (BS), equipped with a large-scale antenna array, execute, using the same frequency range, both communication with mobile users and radar surveillance of the surrounding environment,…

Information Theory · Computer Science 2020-04-02 Stefano Buzzi , Carmen D'Andrea , Marco Lops

Multi-tier networks with large-array base stations (BSs) that are able to operate in the "massive MIMO" regime are envisioned to play a key role in meeting the exploding wireless traffic demands. Operated over small cells with…

Information Theory · Computer Science 2015-05-05 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos

Cell-free massive multiple-input multiple-output is a potential candidate for future networks with pervasive connectivity by utilizing coherent joint transmission and distributed antenna arrays. This paper studies the exploitation of…

Signal Processing · Electrical Eng. & Systems 2026-04-14 Trinh Van Chien , Bui Trong Duc , Mohammadali Mohammadi , Hien Quoc Ngo , Michail Matthaiou

We consider single cell multi-user OFDMA downlink resource allocation on a flat-fading channel such that average supply power is minimized while fulfilling a set of target rates. Available degrees of freedom are transmission power and…

Information Theory · Computer Science 2013-07-12 Hauke Holtkamp , Gunther Auer , Harald Haas