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Ultra network densification and Massive MIMO are considered major 5G enablers since they promise huge capacity gains by exploiting proximity, spectral and spatial reuse benefits. Both approaches rely on increasing the number of access…

Networking and Internet Architecture · Computer Science 2015-04-10 Antonis G. Gotsis , Stelios Stefanatos , Angeliki Alexiou

We propose reflection pattern modulation-aided reconfigurable intelligent surface (RPM-RIS)-assisted cell-free massive multiple-input-multiple-output (CF-mMIMO) schemes for green uplink transmission. In our RPM-RIS-assisted CF-mMIMO system,…

Signal Processing · Electrical Eng. & Systems 2024-08-13 Zeping Sui , Hien Quoc Ngo , Trinh Van Chien , Michail Matthaiou , Lajos Hanzo

In this paper we study energy efficient joint power allocation and beamforming for coordinated multicell multiuser downlink systems. The considered optimization problem is in a non-convex fractional form and hard to tackle. We propose to…

Information Theory · Computer Science 2013-10-09 He Shiwen , Huang Yongming , Jin Shi , Yang Luxi

Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging technology for beyond 5G with its promising features such as higher spectral efficiency and superior spatial diversity as compared to conventional…

Information Theory · Computer Science 2020-12-29 Zakir Hussain Shaik , Emil Björnson , Erik G. Larsson

A massive MIMO system entails a large number of base station antennas M serving a much smaller number of users. This leads to large gains in spectral and energy efficiency compared with other technologies. As the number of antennas M grows,…

Information Theory · Computer Science 2018-07-13 Ansuman Adhikary , Alexei Ashikhmin

We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output which is a potential technology for beyond 5G networks. More specifically, we aim to maximize the minimum spectral efficiency of all…

Signal Processing · Electrical Eng. & Systems 2020-11-11 Muhammad Farooq , Hien Quoc Ngo , Le Nam Tran

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition. In the current communication architecture, the downlink…

Information Theory · Computer Science 2022-08-26 Muhammad Karam Shehzad , Luca Rose , Stefan Wesemann , Mohamad Assaad , Syed Ali Hassan

The impressive growth of wireless data networks has recently led to increased attention to the issue of electromagnetic pollution and the fulfillment of electromagnetic field (EMF) exposure limits. This paper tackles the problem of power…

Signal Processing · Electrical Eng. & Systems 2025-12-01 Sergi Liesegang , Stefano Buzzi

In this paper, we investigate the impact of channel aging on the performance of cell-free (CF) massive multiple-input multiple-output (MIMO) systems with both spatial correlation and pilot contamination. We derive novel closed-form uplink…

Information Theory · Computer Science 2021-04-26 Jiakang Zheng , Jiayi Zhang , Emil Björnson , Bo Ai

We consider a single user (SU) massive MIMO system with multiple antennas at the transmitter (base station) and a single antenna at the user terminal (UT). Taking transceiver power consumption into consideration, for a given spectral…

Information Theory · Computer Science 2014-10-21 Sudarshan Mukherjee , Saif Khan Mohammed

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the number of active users is restricted due to training overhead…

Information Theory · Computer Science 2018-03-19 Salah Eddine Hajri , Maialen Larrañaga , Mohamad Assaad

Motivated by massive deployment of low data rate Internet of things (IoT) and ehealth devices with requirement for highly reliable communications, this paper proposes receive beamforming techniques for the uplink of a single-input…

Information Theory · Computer Science 2017-05-17 Majid Bavand , Steven D. Blostein

Motivated by the ever-growing demand for \emph{green} wireless communications and the advantages of \emph{cell-free} (CF) massive multiple-input multiple-output (MIMO) systems, we focus on the design of their downlink for optimal…

Information Theory · Computer Science 2021-02-09 Anastasios Papazafeiropoulos , Hien Q. Ngo , Pandelis Kourtessis , Symeon Chatzinotas , John M. Senior

We derive a fast and optimal algorithm for solving practical weighted max-min SINR problems in cell-free massive MIMO networks. For the first time, the optimization problem jointly covers long-term power control and distributed beamforming…

Information Theory · Computer Science 2022-09-01 Lorenzo Miretti , Renato Luis Garrido Cavalcante , Slawomir Stanczak

This paper considers weighted sum rate maximization constrained with a per base station (BS) antenna power problem for multiuser multiple-input multiple-output (MIMO) systems. For this problem, we propose new downlink-uplink duality based…

Optimization and Control · Mathematics 2013-11-26 Tadilo Endeshaw Bogale , Luc Vandendorpe

Two key traits of 5G cellular networks are much higher base station (BS) densities - especially in the case of low-power BSs - and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize…

Information Theory · Computer Science 2016-02-09 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos , Constantine Caramanis , Jeffrey G. Andrews

Considering a heterogeneous network (HetNet) where both macro base station (BS) and small cell (SC) nodes are equipped with massive antennas, this paper studies the performance for multiple-input multiple-output (MIMO) downlinks when the…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Hai Lin

This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy…

Information Theory · Computer Science 2018-05-15 Mario Alonzo , Stefano Buzzi , Alessio Zappone

Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two…

In this paper, a deterministic equivalent of ergodic sum rate and an algorithm for evaluating the capacity-achieving input covariance matrices for the uplink large-scale multiple-input multiple-output (MIMO) antenna channels are proposed.…

Information Theory · Computer Science 2016-11-18 Jun Zhang , Chao-Kai Wen , Shi Jin , Xiqi Gao , Kai-Kit Wong
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