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Sum Throughput Maximization For Multi-Tag MISO Backscattering

Citation Author(s):
Deepak Mishra, Erik G. Larsson
Submitted by:
Deepak Mishra
Last updated:
8 May 2019 - 4:43am
Document Type:
Poster
Document Year:
2019
Event:
Presenters:
Deepak Mishra
Paper Code:
2448
 

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.

URL: https://ieeexplore.ieee.org/abstract/document/8683259

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