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Massive MIMO is bringing significant performance improvements in the contextof outdoor macrocells, such as favourable propagation conditions, spatiallyconfined communication, high antenna gains to overcome pathloss, and goodangular localisation. In this paper we explore how these benefits scale toindoor scattering-rich deployments based on a dense indoor measured MassiveMIMO dataset. First, we design and implement three different and relevanttopologies to position our 64 antennas in the environment: \emph{Massive MIMO,RadioStripes} and \emph{RadioWeaves} topologies. Second, we measure 252004indoor channels for a $3x3m^2$ area for each topology, using an automateduser-positioning and measurement system. Using this dense dataset, we provide aunique analysis of system level properties such as pathloss, favourablepropagation, spatial focusing and localisation performance. Ourmeasurement-based analyses verify and quantify that distributing the antennasthroughout the environment results in an improved propagation fairness, betterfavourable propagation conditions, higher spatial confinement and finally ahigh localisation performance. The dataset is publicly available and can serveas a reference database for benchmarking of future indoor communication systemsand communication models. We outline the implementation challenges we observed,and also list diverse R\&D challenges that can benefit from using this datasetas a benchmark.

Weave and Conquer: A Measurement-based Analysis of Dense Antenna Deployments