Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas
summary
Instruments the room with a 36-element passive array of cheap two-antenna boards, each with an on-board phase shifter, and runs a two-probe channel decomposition plus an iterative phase-search to align environmental paths; the prototype uses 16 phase states per element and controls settings from a lightweight server. Experiments in a real house report a 24% average TCP throughput gain and median 51.4% Shannon-capacity uplift for single-antenna links, and 12–19% gains for MIMO, with most MIMO benefit coming from improved channel conditioning.
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chapters (13)
- 0:00Intro
- 0:58Fundamental problem
- 2:44Large array of inexpensive antennas (LAIA)
- 4:42Challenges
- 5:10Two-probe channel decomposition algorithm
- 6:36Multi-element case: how to decompose?
- 7:45Channel alignment
- 9:16Strawman solution: exhaustive search
- 13:09Implementation and deployment
- 13:25Micro-benchmark: controllability
- 16:19LAIA increases 4x4 MIMO channel capacity
- 17:51x4: LAIA helps channel conditioning but not SNR
- 18:59Conclusion
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