2019/04/16 by Deepak Mishra, Erik G. Larsson, Mishra, Deepak +1 · 1 citation
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Analysis #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Mathematics #Full-Duplex Wireless Communications #Information Theory (cs.IT) #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.1904.07978
openalex publication_date 2019/04/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Backscatter communication (BSC) is being realized as the core technology for\npervasive sustainable Internet-of-Things applications. However, owing to the\nresource-limitations of passive tags, the efficient usage of multiple antennas\nat the reader is essential for both downlink excitation and uplink detection.\nThis work targets at maximizing the achievable sum-backscattered-throughput by\njointly optimizing the transceiver (TRX) design at the reader and\nbackscattering coefficients (BC) at the tags. Since, this joint problem is\nnonconvex, we first present individually-optimal designs for the TRX and BC. We\nshow that with precoder and combiner designs at the reader respectively\ntargeting downlink energy beamforming and uplink Wiener filtering operations,\nthe BC optimization at tags can be reduced to a binary power control problem.\nNext, the asymptotically-optimal joint-TRX-BC designs are proposed for both low\nand high signal-to-noise-ratio regimes. Based on these developments, an\niterative low-complexity algorithm is proposed to yield an efficient\njointly-suboptimal design. Thereafter, we discuss the practical utility of the\nproposed designs to other application settings like wireless powered\ncommunication networks and BSC with imperfect channel state information.\nLastly, selected numerical results, validating the analysis and shedding novel\ninsights, demonstrate that the proposed designs can yield significant\nenhancement in the sum-backscattered throughput over existing benchmarks.\n