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This work advocates the use of deep learning to perform max-min and max-prod power allocation in the downlink of Massive MIMO networks. More precisely, a deep neural network is trained to learn the map between the positions of user…

Signal Processing · Electrical Eng. & Systems 2019-06-04 Luca Sanguinetti , Alessio Zappone , Merouane Debbah

This paper investigates the joint power allocation and user association problem in multi-cell Massive MIMO (multiple-input multiple-output) downlink (DL) systems. The target is to minimize the total transmit power consumption when each user…

Information Theory · Computer Science 2016-07-08 Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper considers a cell-free massive multipleinput multiple-output (MIMO) integrated sensing and communication (ISAC) system, where distributed MIMO access points (APs) are used to jointly serve the communication users and detect the…

Information Theory · Computer Science 2023-10-16 Mohamed Elfiatoure , Mohammadali Mohammadi , Hien Quoc Ngo , Michail Matthaiou

We develop two distributed downlink resource allocation algorithms for user-centric, cell-free, spatially-distributed, multiple-input multiple-output (MIMO) networks. In such networks, each user is served by a subset of nearby transmitters…

Information Theory · Computer Science 2021-10-18 Hussein A. Ammar , Raviraj Adve , Shahram Shahbazpanahi , Gary Boudreau , Kothapalli Venkata Srinivas

We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamforming scheme is adopted at each access point (AP) to keep…

Signal Processing · Electrical Eng. & Systems 2022-01-14 Muhammad Farooq , Markku Juntti , Le-Nam Tran

This paper investigates the sum-rate gains brought by power allocation strategies in multicell massive multipleinput multiple-output systems, assuming time-division duplex transmission. For both uplink and downlink, we derive tractable…

Information Theory · Computer Science 2015-06-11 Qi Zhang , Shi Jin , Matthew McKay , David Morales-Jimenez , Hongbo Zhu

Resource allocation is a fundamental task in cell-free (CF) massive multi-input multi-output (MIMO) systems, which can effectively improve the network performance. In this paper, we study the downlink of CF MIMO networks with network…

Information Theory · Computer Science 2023-12-22 S. Mashdour , A. Schmeink , R. C. de Lamare , J. P. Sales

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

CF-mMIMO systems are a promising solution to enhance the performance in 6G wireless networks. Its distributed nature of the architecture makes it highly reliable, provides sufficient coverage and allows higher performance than cellular…

Signal Processing · Electrical Eng. & Systems 2024-02-12 Ramprasad Raghunath , Bile Peng , Eduard A. Jorswieck

Large-scale MIMO systems have been considered as one of the possible candidates for the next-generation wireless communication technique, due to their potential to provide significant higher throughput than conventional wireless systems.…

Information Theory · Computer Science 2014-10-06 Dengkui Zhu , Boyu Li , Ping Liang

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 downlink of a cell-free massive multiple-input multiple-output (MIMO) network where numerous distributed access points (APs) serve a smaller number of users under time division duplex operation. An important issue in…

Information Theory · Computer Science 2017-04-12 L. D. Nguyen , T. Q. Duong , H. Q. Ngo , K. Tourki

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

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

Cell-free massive MIMO (CF-M-MIMO) systems represent an evolution of the classical cellular architecture that has dominated the mobile landscape for decades. In CF-M-MIMO, a central processing unit (CPU) controls a multitude of access…

Signal Processing · Electrical Eng. & Systems 2019-09-27 Felip Riera-Palou , Guillem Femenias

In this paper, the downlink of a typical massive MIMO system is studied when each base station is composed of three antenna arrays with directional antenna elements serving 120 degrees of the two-dimensional space. A lower bound for the…

Information Theory · Computer Science 2018-04-27 Shahram Shahsavari , Parisa Hassanzadeh , Alexei Ashikhmin , Elza Erkip

In this paper, we consider the power allocation problem for the downlink of the massive multiple-input multiple-output (MIMO) systems. We propose a new scheme by exploiting the water-filling algorithm in a cell with two zones. It is…

Signal Processing · Electrical Eng. & Systems 2021-08-31 Abdolrasoul Sakhaei Gharagezlou , Jafar Pourrostam , Mahdi Nangir , Mir Mahdi Safari

Recently, the so-called cell-free (CF) Massive MIMO architecture has been introduced, wherein a very large number of distributed access points (APs) simultaneously and jointly serve a much smaller number of mobile stations (MSs). The paper…

Information Theory · Computer Science 2018-03-07 Stefano Buzzi , Carmen D'Andrea , Alessio Zappone

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

This paper is concerned with the proportional fairness (PF) of the spectral efficiency (SE) maximization of uplinks in a cell-free (CF) massive multiple-input multiple-output (MIMO) system in which a large number of single-antenna access…

Information Theory · Computer Science 2021-10-18 Viet Quoc Pham , Ha Hoang Kha , Le Ty Khanh