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This paper considers a cell-free massive MIMO (CF-mMIMO) system using conjugate beamforming (CB) with fractional-exponent normalization. Assuming independent Rayleigh fading channels, a generalized closed-form expression for the achievable…

Information Theory · Computer Science 2022-02-17 Giovanni Interdonato , Stefano Buzzi

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 consider a time-division duplex cell-free massive multiple-input multiple-output (MIMO) system where many distributed access points (APs) simultaneously serve many users. A normalized conjugate beamforming scheme, which…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

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 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

In this paper, a general framework for deep learning-based power control methods for max-min, max-product and max-sum-rate optimization in uplink cell-free massive multiple-input multiple-output (CF mMIMO) systems is proposed. Instead of…

Information Theory · Computer Science 2021-10-19 Yongshun Zhang , Jiayi Zhang , Yu Jin , Stefano Buzzi , Bo Ai

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

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 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

We study internet of things (IoT) systems supported by cell-free (CF) massive MIMO (mMIMO) with optimal linear channel estimation. For the uplink, we consider optimal linear MIMO receiver and obtain an uplink SINR approximation involving…

Information Theory · Computer Science 2020-12-01 Hangsong Yan , Alexei Ashikhmin , Hong Yang

Cell-Free Massive Multiple-input Multiple-output (mMIMO) consists of many access points (APs) in a coverage area that jointly serve the users. These systems can significantly reduce the interference among the users compared to conventional…

Information Theory · Computer Science 2021-11-16 Abbas Khalili , Alexei Ashikhmin , Hong Yang

In this paper, a novel joint design of beamforming and power allocation is proposed for a multi-cell multiuser multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) network. In this network, base stations (BSs) adopt…

Information Theory · Computer Science 2018-06-13 Xiaofang Sun , Nan Yang , Shihao Yan , Zhiguo Ding , Derrick Wing Kwan Ng , Chao Shen , Zhangdui Zhong

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

This paper studies joint beamforming and power control in a coordinated multicell downlink system that serves multiple users per cell to maximize the minimum weighted signal-to-interference-plus-noise ratio. The optimal solution and…

Information Theory · Computer Science 2016-11-17 Yichao Huang , Chee Wei Tan , Bhaskar D. Rao

Recently, the so-called cell-free 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). A variant of…

Information Theory · Computer Science 2017-10-24 Stefano Buzzi , Alessio Zappone

A large-scale distributed antenna system that serves the users by coherent joint transmission is called Cell-free Massive MIMO (multiple input multiple output). For a given user set, only a subset of the access points (APs) is likely needed…

Information Theory · Computer Science 2019-11-27 Trinh Van Chien , Emil Björnson , Erik G. Larsson

Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular communications. However, system scalability and performance…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed. Max-min rate optimization problem in a cell-free massive MIMO…

Signal Processing · Electrical Eng. & Systems 2021-02-23 Nuwanthika Rajapaksha , K. B. Shashika Manosha , Nandana Rajatheva , Matti Latva-aho

In this letter, the maximization of resistible jamming power is studied for multi-user downlink millimeter-wave cell-free multiple-input-multiple-output (CF-MIMO) systems. We propose an alternate optimization-based anti-jamming hybrid…

Signal Processing · Electrical Eng. & Systems 2024-10-15 Zilong Wang , Cheng Zhang , Changwei Zhang , Yongming Huang
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