Sustainable transmission demand-driven multi-channel power allocation method in energy harvesting wireless networks

Abstract

The invention discloses a multi-channel power distribution method driven by a sustainable transmission demand in an energy collecting wireless network. The method comprises the following steps: 1) setting a data queue index ThetaD and an inversion energy queue index ThetaE according to the sustainable transmission demand, and initializing system parameters; 2) entering a transmission period, acquiring electric quantity information and limiting the total transmission power maximum value Mumax based on state information sequence of N channels; 3) solving the optimal total transmission power Mu*and like; 4) distributing the optimal transmission power as shown in description of each channel, and transmitting formula as shown in description paths of independent data flows to a receiver; 5) updating Lagrangian multiplier Lambda; and 6) entering the next transmission period, and repeating the steps 2) to 5) until the transmission is finished. The multi-channel power distribution method disclosed by the invention is suitable for cache capacity limited equipment in the energy collecting wireless communication system, and the cache capacity limitation of a transmitter and a battery interruption probability limitation under the energy collection are taken into consideration at the same, so that the power self-adaptive distribution scheme of the system capacity is maximized in the premiseof ensuring that the cache overflow probability and the battery interruption probability satisfy the sustainable transmission demand.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a multi-channel power allocation method driven by sustainable transmission requirements in an energy harvesting wireless network. Background technique [0002] Energy harvesting is regarded as a promising enhancement in battery-powered wireless communication networks. Energy-harvesting wireless communication networks are expected to bring several dramatic changes to wireless communication: In addition to energy self-sufficiency and almost permanent device life, the expected benefits include reducing the use of traditional energy sources and corresponding carbon emissions, and getting rid of traditional battery charging The unlimited mobility brought by the future, the ability to deploy unlimited networks to places that are difficult for humans to reach, such as: remote mountainous areas, inside reinforced concrete structures, and inside the human body. ...

AI Technical Summary

Problems solved by technology

The present invention is an adaptive channel state power allocation method based on data cache stability and battery supply stability, to solve the problem that existing adaptive power allocation methods cannot guarantee data cache constraints and battery interruption constraints at the same time, or cannot be directly applied to multiple channels Problems with wireless communication systems

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