Design Of Time Delay Perceptual Precoding Based On Random Infinite Time Domain Stochastic Control

5G communication presents a millisecond(MS)magnitude delay requirement.Energy and delay are two important performance indexes in wireless hyper dense network optimization.On the one hand,because users increasingly high demands on the quality of signal,the network transmission speed faster and faster,which requires us to optimize the system delay,the system delay is minimum,so as to improve service quality,optimize the performance of the system.Including the delay queue delay and transmission delay,queue delay is determined by the channel state and the source rate,queue model,the transmission rate is determined,and the transmission delay is determined by the channel state,so we can take reasonable decisions at each decision time interval(such as channel pre encoding and channel decoding)to minimize delay.On the other hand,due to the deepening of the concept of green energy,an important performance index of the system energy efficiency is the system,we generally through the transmission signal encoding to control the interference signal between each other so as to improve the energy efficiency of the network,due to intensive increase in the number of the number of base stations and antennas,will greatly increase the energy consumption.Especially,in the ultra dense wireless network,due to the large energy consumption,energy efficiency optimization is an important topic in optimization design of super dense network.The front-end cost is also an important parameter of the network system,and the optimization of front-end cost means the improvement of the efficiency of the system band utilization,thus enhancing the overall performance of the system.At present,the great interest of energy transmission in time aware wireless networks,and the efficient transmission of energy to users,will be a great challenge for the design of future infinite networks.At present,a large number of papers have analyzed the energy transmission in the wireless network system and the user’s energy collection problem.Energy harvesting for delayed optimal power control;limited energy storage in wireless systems.A wireless system is a source of energy for bursty data that is powered by a renewable energy source.It is characterized by a data queue and an energy queue.The traditional approach is to define the problem as a delay optimization power control problem and transform it into an infinite time domain average Markov cost decision process(MDP).Due to the problem of high complexity,is usually introduced into a continuous time system virtual and derive closed form approximate priority function like stochastic problem into a deterministic optimization problem.However,few articles consider both the transmission of energy and the high quality of information transmission,that is,the joint transmission of information and energy.Based on the demand of energy for future super dense network users,the joint transmission of information and energy will be a promising subject.