SONG Zhiqun, LIU Yutao, L, et al. Research on joint optimization algorithm for time slot and power in SWIPT[J]. 2020, 52(5): 35-40.
DOI:
SONG Zhiqun, LIU Yutao, L, et al. Research on joint optimization algorithm for time slot and power in SWIPT[J]. 2020, 52(5): 35-40.DOI: 10.11918/201902073.
Research on joint optimization algorithm for time slot and power in SWIPT
Traditional communication system fails to utilize the energy of radio frequency signals effectively
which can result in high transmission energy consumption. Therefore
resources must be allocated reasonably to achieve a compromise between information and energy transmission. That is to ensure sufficient transmission energy and improve the information transmission performance of the system as much as possible. In order to save the energy of the communication system
this paper proposes that the communication system simultaneously transmits information and energy in multiple time slots to realize Simultaneous Wireless Information and Power Transfer (SWIPT). First
the transmission time was divided into a number of time slots
and the transmitter transmitted information or energy in different time slots as required. Then
the receiver collected information or harvested energy in the corresponding time slot
and the obtained energy was used to provide circuit energy consumption. Finally
by jointly optimizing the time slot and power allocation
the system transmission rate was maximized based on the guaranteed system energy requirements. Simulation results show that compared with the equal-time power allocation algorithm
the transmission efficiency of the proposed algorithm was improved by about 40 bps
and the performance was significantly improved with the increase of the number of the time slots. When the transmission energy increased
the distributable information power was greater. When the energy demand increased
the information power decreased
and more power was used for energy transmission. Hence
an algorithm was proposed to maximize the performance of information transmission by reasonably allocating time slots and power for information transmission and energy harvesting to ensure sufficient acquisition energy. Therefore
the proposed algorithm could improve the transmission performance effectively via harvesting the wireless power.