Cell-Free Massive MIMO for UAV Communications

D’Andrea, Carmen; García‐Rodríguez, Adrián; Geraci, Giovanni; Giordano, Lorenzo Galati; Buzzi, Stefano

doi:10.1109/iccw.2019.8756714

Cited by 44 publications

(32 citation statements)

References 18 publications

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“…This work, extending preliminary results reported in the conference paper [31], analyzes and compares the CF and UC network behaviors in the presence of communication with both UAVs and legacy ground users (GUEs). The paper contributions can be summarized as follows:…”

Section: A Paper Contributionmentioning

confidence: 57%

Analysis of UAV Communications in Cell-Free Massive MIMO Systems

D’Andrea

García‐Rodríguez

Geraci

et al. 2020

IEEE Open J. Commun. Soc.

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We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture, wherein a large number of access points (APs) is deployed in place of large co-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applying a user-centric association approach, where each user is served only from a subset of APs in the network. Under the general assumption that the propagation channel between the mobile stations, either UAVs or ground users (GUEs), and the APs follows a Ricean distribution, we derive closed form spectral efficiency lower bounds for uplink and downlink with linear minimum mean square error channel estimation. We consider several power allocation and user scheduling strategies for such a system, and, among these, also minimum-rate maximizing power allocation strategies to improve the system fairness. Our numerical results reveal that cell-free massive MIMO architecture and its low-complexity user-centric alternative may provide better performance than a traditional multi-cell massive MIMO network deployment. INDEX TERMS Cell-free massive MIMO, Ricean fading channel, spectral efficiency, power allocation, UAV communications, user-centric.

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Section: A Paper Contributionmentioning

confidence: 57%

Analysis of UAV Communications in Cell-Free Massive MIMO Systems

D’Andrea

García‐Rodríguez

Geraci

et al. 2020

IEEE Open J. Commun. Soc.

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“…To ensure connectivity with cellular networks, several essential requirements, which include reliable and low-latency communications between the drone-UEs and ground BSs, have to be met. User-centric cell-free massive MIMO, also known as distributed massive MIMO, was recently proposed as a prominent solution to efficiently increase the system coverage and energy efficiency of aerial networks [168], [169]. By efficiently utilizing cell-free massive MIMO, in which massive number of antennas are distributed over a wide area to serve multiple drone-UEs, the effect of large scale fading becomes less as all users approximately have equal distances to the allocated access point.…”

Section: ) Drone-assisted Wireless Communicationsmentioning

confidence: 99%

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

et al. 2020

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The fifth generation (5G) mobile networks are envisaged to enable a plethora of breakthrough advancements in wireless technologies, providing support of a diverse set of services over a single platform. While the deployment of 5G systems is scaling up globally, it is time to look ahead for beyond 5G systems. This is mainly driven by the emerging societal trends, calling for fully automated systems and intelligent services supported by extended reality and haptics communications. To accommodate the stringent requirements of their prospective applications, which are data-driven and defined by extremely lowlatency, ultra-reliable, fast and seamless wireless connectivity, research initiatives are currently focusing on a progressive roadmap towards the sixth generation (6G) networks, which are expected to bring transformative changes to this premise. In this article, we shed light on some of the major enabling technologies for 6G, which are expected to revolutionize the fundamental architectures of cellular networks and provide multiple homogeneous artificial intelligence-empowered services, including distributed communications, control, computing, sensing, and energy, from its core to its end nodes. In particular, the present paper aims to answer several 6G framework related questions: What are the driving forces for the development of 6G? How will the enabling technologies of 6G differ from those in 5G? What kind of applications and interactions will they support which would not be supported by 5G? We address these questions by presenting a comprehensive study of the 6G vision and outlining seven of its disruptive technologies, i.e., mmWave communications, terahertz communications, optical wireless communications, programmable metasurfaces, drone-based communications, backscatter communications and tactile internet, as well as their potential applications. Then, by leveraging the state-of-the-art literature surveyed for each technology, we discuss the associated requirements, key challenges, and open research problems. These discussions are thereafter used to open up the horizon for future research directions. INDEX TERMS 6G, backscatter communications, drone-based communications, terahertz communications, metasurfaces, mmWave, optical wireless communications, tactile internet.

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“…In [21], the authors thoroughly reviewed the potential benefits and challenges of UAV-based cell-free (also referred as fluid cells) communications, whereas cell-free communications based on small cells was discussed in [22]. In [23], a UAV-assisted cell-free mMIMO communications architecture was proposed, whereas the authors in [24] proposed mMIMO communications for providing long-range connectivity and space division multiple access to the highly mobile UAV network nodes. To quantify the benefits of cell-free mMIMO systems in terms of energy-and cost-efficiency, the authors in [25] provided a comprehensive survey of cell-free mMIMO systems.…”

Section: B Multi-antenna Integrated Cell-free Inter-vehicular Communmentioning

confidence: 99%

“…given by (15) in (23), and performing simplifications operations, the solution can be expressed as given in (24).…”

Section: Mathematical Expression For Lcr For This Case Can Be Derivedmentioning

confidence: 99%

Spatial Modeling of Interference in Inter-Vehicular Communications for 3-D Volumetric Wireless Networks

et al. 2020

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Cell-Free Massive MIMO for UAV Communications

Cited by 44 publications

References 18 publications

Analysis of UAV Communications in Cell-Free Massive MIMO Systems

Analysis of UAV Communications in Cell-Free Massive MIMO Systems

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

Spatial Modeling of Interference in Inter-Vehicular Communications for 3-D Volumetric Wireless Networks

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