Joint Beamforming and Transmission Design for Hybrid Backscatter-HTT Communication System
Backscatter communication and harvest-then-transmit (HTT) communication are regarded as promising technologies for enabling green Internet of Things (IoT). The current works on the joint use of backscatter communication and HTT are limited in single cell scenarios with the fixed backscatter-then-HTT transmission structure. In this work, we propose a transmission scheme with flexible mode selection for the hybrid backscatter-HTT multi-cell system to achieve much improved communication performance, and then study the joint design for such a system. Specifically, by utilizing multi-antenna technology and enabling the flexible mode selecting between backscatter and HTT, a novel transmission scheme is developed. With the aim to maximize the sum rate of the considered system, we formulate a joint optimization problem for the base station transmission beamforming (TB), the transmission mode (TM), and the transmit power (TP) of the hybrid backscatter-HTT devices. To address the formulated non-convex problem, we propose a block coordinate descent-based algorithm, namely J3TO, to jointly optimize TB, TM, and TP, by decoupling the original problem into three sub-problems. Therein, the weighted minimum mean square error approach, matching theory, and the fractional programming technique are leveraged to deal with the sub-problems efficiently. Simulation results show that the proposed algorithm flexibly integrates the merits of backscatter and HTT technologies, achieving superior performance across various scenarios, compared with the benchmark schemes, e.g., backscatter-only SDMA, HTT-only SDMA, and backscatter-HTT TDMA.
Authors
- Zesong Fei (ORCID: https://orcid.org/0000-0002-7576-625X)
- Salman Durrani (ORCID: https://orcid.org/0000-0002-7124-282X)
- Hanxiao Yu (ORCID: https://orcid.org/0000-0003-3399-8359)
- Jing Guo (ORCID: https://orcid.org/0000-0001-6752-6064)
- Xiangyun Zhou (ORCID: https://orcid.org/0000-0001-8973-9079)
- Xinyi Wang (ORCID: https://orcid.org/0000-0002-4010-7895)
- Chenyang Du
Institutions
- Australian National University (AU)
- Beijing Institute of Technology (CN)
- Institute of Computing Technology (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jiot.2025.3602056
- Citations
- 1
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.73