RadioWeaves for Extreme Spatial Multiplexing in Indoor Environments

With the advances in virtual and augmented reality, gaming applications, and entertainment, certain indoor scenarios will require vastly higher capacity than what can be delivered by 5G. In this paper, we focus on massive MIMO for indoor environments. We provide a case study of the distributed deployment of the antenna elements over the walls of a room and not restricting the antenna separation to be half the wavelength. This is a new paradigm of massive MIMO antenna deployment, introduced in [1] under the name RadioWeaves. We investigate different antenna deployment scenarios in line of sight communication. We observe that the RadioWeaves deployment can spatially separate users much better than a conventional co-located deployment, which outweighs the losses caused by grating lobes and thus saves a lot on transmit power. Through simulations, we show that the RadioWeaves technology can provide high rates to multiple users by spending very little power at the transmitter compared to a co-located deployment.

[1]  Sofie Pollin,et al.  CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks , 2019, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).

[2]  Emil Björnson,et al.  RadioWeaves for efficient connectivity: analysis and impact of constraints in actual deployments , 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

[3]  Erik G. Larsson,et al.  Massive MIMO for Internet of Things (IoT) Connectivity , 2019, Phys. Commun..

[4]  P. Frenger,et al.  Ubiquitous cell-free Massive MIMO communications , 2018, EURASIP J. Wirel. Commun. Netw..

[5]  Erik G. Larsson,et al.  Cell-Free Massive MIMO Versus Small Cells , 2016, IEEE Transactions on Wireless Communications.

[6]  Erik G. Larsson,et al.  Fundamentals of massive MIMO , 2016, SPAWC.

[7]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[8]  Ami Wiesel,et al.  Zero-Forcing Precoding and Generalized Inverses , 2008, IEEE Transactions on Signal Processing.

[9]  H.T. Friis,et al.  A Note on a Simple Transmission Formula , 1946, Proceedings of the IRE.