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In this paper, we present an ambient backscatters-friendly 5G network thatcreates locations with large power (hot spots) for tags and good receptionlocations (quiet spots or coherent spots) for readers. The massive multipleinput multiple output (M-MIMO) antenna and beamforming capability of the 5Gnetwork is used as follows. In a first step, a training device (separate fromtags and readers) is used to send pilots and train the 5G network to performfocusing and/or nulling onto marked locations. In a second step, tags andreaders are positioned onto the marked locations. The robustness of M-MIMObeamforming to slight changes in the environment is exploited. Our initialsimulation results, in a multipath propagation channel environment, show thatcreating a hot spot on a tag improves the tag-reader range however with a lowprobability of detection. Creating a hot spot on a tag and a good receptionspot on a reader at the same time, improves the tag-reader range with 99%probability of detection. The study also shows that beamforming does notdegrade the performance of a legacy 5G communication.

Ambient backscatters-friendly 5G networks: creating hot spots for tags and good spots for readers