Ubiquitous cell-free Massive MIMO communications

By Giovanni Interdonato, Emil Björnson, Hien Quoc Ngo, Pål K. Frenger, Erik G. Larsson. EURASIP Journal on Wireless Communications and Networking, 2018

632 citations recorded by the source corpus.

Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users and hence increases the spectral and energy efficiency (see references herein). It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguish ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/aeafc815d581c826b2e7173c6856d51b8df15579

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Luca Sanguinetti
  2. Hadi Sarieddeen
  3. Emil Björnson
  4. Jakob Hoydis
  5. Sundeep Rangan
  6. Marco Mezzavilla
  7. Shree Krishna Sharma
  8. Anum Ali

In Electrical and Electronic Engineering

  1. Emil Björnson
  2. Luca Sanguinetti
  3. Rui Zhang
  4. Robert W. Heath
  5. Jakob Hoydis
  6. Qingqing Wu
  7. Erik G. Larsson
  8. M. Di Renzo

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