DTPS protocol-based multi-relay time slot and power joint optimization method in cognitive SWIPT

Abstract

The invention discloses a multi-relay time slot and power joint optimization method based on a DTPS protocol in cognitive SWIPT. A plurality of cognitive SWIPT relay nodes equipped with power divisionreceivers exist in a cognitive SWIPT communication network, a multi-relay time slot and power joint optimization method based on a dynamic time slot power division protocol in cognitive SWIPT is researched, and joint optimization is carried out on a power division factor, a time slot allocation factor and a power allocation coefficient. According to the method, an optimization model is established by taking the maximum network sum rate of the cognitive SWIPT communication network as an optimization target, and the system performance meets the required requirements through optimal relay node selection and joint optimization of the power division factor, the time slot allocation factor and the power allocation coefficient of the optimal relay node. Research shows that with the increase of the first time slot factor and the power division factor, the reachability and the rate of the cognitive SWIPT communication network are increased and then decreased. The method provided by the invention can maximize the reachability and rate of the cognitive SWIPT communication network.

Description

technical field [0001] The invention belongs to the technical field of information and communication engineering, and proposes multi-relay time slots and power based on Dynamic Time Slot Power Splitting (Dynamic Time Power Splitting, DTPS) protocol in Simultaneous Wireless Information and Power Transfer (SWIPT). joint optimization method. Background technique [0002] With the development of wireless communication technology, the data volume of wireless services is increasing explosively. Various wireless devices require certain spectrum resources to transmit data, which poses a huge challenge to the scarce spectrum resources. The current scarcity of spectrum resources is not due to the lack of spectrum in the physical sense, but due to low spectrum utilization and strict spectrum allocation policies. Therefore, how to improve spectrum efficiency has become one of the urgent problems to be solved in current wireless communication. At present, cognitive radio (CR) technolo...

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Problems solved by technology

At present, most electronic devices are powered by batteries with limited capacity. However, in some special scenarios, electronic devices cannot be continuously powered by batteries, such as electronic therapy equipment built into the human body, etc.

Therefore, how to collect renewable energy from the environment, such as solar energy, wind energy, geothermal energy, and vibration energy, has always been a research hotspot. Although using natural energy as the source of energy collection can further save the energy consumption of the network, these natural energy sources are affected by weather, etc. The influence of external factors is relatively large, the collection efficiency is very limited, and it will affect the stability of the communication network

[0003] People have successfully used electromagnetic waves for information transmission. Radio wave energy is a potential green energy source. However, the use of electromagnetic waves to transmit energy has not been greatly developed, and the low efficiency of energy collection is a key problem that needs to be solved urgently.

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