Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems

被引:30
作者
Chen, Xihan [1 ]
Cheng, Hei Victor [2 ]
Shen, Kaiming [3 ]
Liu, An [1 ]
Zhao, Min-Jian [1 ]
机构
[1] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310000, Peoples R China
[2] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
[3] Chinese Univ Hong Kong Shenzhen, Sch Sci & Engn, Shenzhen, Peoples R China
关键词
Optimization; Interference; Transceivers; Backscatter; Receivers; Signal to noise ratio; Convergence; Batch stochastic parallel decomposition (BSPD) algorithm; fractional programming (FP); multi-Tags symbiotic radio (SR); stochastic transceiver optimization; UHF RFID TAGS; COMMUNICATION-SYSTEMS; RESOURCE-ALLOCATION; POWER-CONTROL; BACKSCATTER; INTERNET;
D O I
10.1109/JIOT.2020.3003473
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Symbiotic radio (SR) is emerging as a spectrum-and energy-efficient communication paradigm for future passive Internet of Things (IoT), where some single-antenna backscatter devices, referred to as Tags, are parasitic in an active primary transmission. The primary transceiver is designed to assist both direct-link (DL) and backscatter-link (BL) communication. In multi-Tags SR systems, the transceiver designs become much more complicated due to the presence of DL and inter-Tag interference, which further poses new challenges to the availability and reliability of DL and BL transmission. To overcome these challenges, we formulate the stochastic optimization of transceiver design as the general network utility maximization problem (GUMP). The resultant problem is a stochastic multiple-ratio fractional nonconvex problem, and consequently challenging to solve. By leveraging some fractional programming techniques, we tailor a surrogate function with the specific structure and subsequently develop a batch stochastic parallel decomposition (BSPD) algorithm, which is shown to converge to stationary solutions of the GNUMP. The simulation results verify the effectiveness of the proposed algorithm by numerical examples in terms of the achieved system throughput.
引用
收藏
页码:9144 / 9157
页数:14
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