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Poster
Sum Throughput Maximization For Multi-Tag MISO Backscattering
- Citation Author(s):
- Submitted by:
- Deepak Mishra
- Last updated:
- 8 May 2019 - 4:43am
- Document Type:
- Poster
- Document Year:
- 2019
- Event:
- Presenters:
- Deepak Mishra
- Paper Code:
- 2448
- Categories:
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Backscatter communication (BSC) is emerging as the core technology for pervasive sustainable internet-of-things applications. However, owing to the resource-limitations of passive tags, this work targets at maximizing the achievable sum-backscattered-throughput by jointly optimizing the transceiver (TRX) design at the full-duplex multiantenna reader and backscattering coefficients (BC) at the single antenna tags. Despite this joint optimization problem being non-convex, we present low-complexity joint TRX-BC designs by exploring the asymptotically-optimal solutions in low and high signal-to-noise-ratio regimes. We discourse that with precoder and detector designs at the reader respectively targeting downlink energy beam-forming and uplink Wiener filtering operations, the BC optimization at tags can be reduced to a binary power control problem. Selected computer simulations are presented to validate the analytical claims, shed optimal-design insights, and demonstrate the throughput enhancement of around 20% over the relevant benchmark schemes.