Performance Analysis And Optimization Of Energy Harvesting Wireless Communication System With Finite-Blocklength

Energy harvesting wireless communication system harvests the clean renewable energy from the environment for transmission. Compared with the traditional wire-less communication system, Energy Harvesting has the following several advantages. Firstly, energy harvesting wireless conmunication systems use the clean energy instead of the traditional electric energy which reduces the carbon emission of wireless com-munication fundamentally. It is an important technology to achieve the green com-muinication; Secondly, energy harvesting wireless communiation systems get rid of the bondage of power grid, which makes it’s possible to provide the wireless network cov-erage in the remote areas without power grid; Thirdly, energy harvesting technology can breakthrough the limitation of the finite battery capacity since the clean energy is renewable, which prolongs the battery powered network’s lifetime significantly, such as wireless sensor network, internet of things and so on. Based on the above advantages, energy harvesting wireless communication systems have received extensive attention of in recent years. Actually, the existing works of energy harvesting wireless commu-nication systems mainly focus on an ideal assumption that the blocklength is infinite. However, the blocklength is finite in practical systems, which leads to a gap between the existing conclusion and the real situation. Therefore, we analysis the performance of energy harvesting wireless communication systems with finite blocklength, and study the optimization method in this paper.The research content of this paper mainly includes three parts:performance anal-ysis of point-to-point energy harvesting wireless communication systems, performance analysis of energy harvesting wireless communication systems with two-user multiple access channel and access optimization of energy harvesting wireless communication systems with multiple access channel. Each part contains several research points. The main contributions of this paper are as follows:(1) For the point-to-point energy harvesting wireless communication system, this paper mainly inveatigates the three problems as follows:firstly, we study the energy storage model of the energy harvesting transmitters and give the probability density function of the length of energy queue; Secondly, we analysis the channel coding rate of the point-to-point system with AWGN channel and finite blocklength based on the energy storage model. A closed expression is given; Thirdly, we analysis the mean delay of this system and a lower-boound of the mean delay is also obtained furthermore.(2) We extend the analysis of the point-to-point energy harvesting wireless com-munication system to a two-user multiple access channel. Based on the energy storage model which we have got before, the capacity region and stability region of the two-user energy harvesting wireless communication system with finite blocklength are studied. These work provide an important theoretical basis for the design of pratical systems.(3) For the energy harvesting wireless communication systems with multiple ac-cess channel and finit blocklength, we propose a distributed power control algorithm (EHPC) which contains a soft removal mechanism to guarantee as many transmitters as possible can access the system successfully and operate steady. In the EHPC, some energy harvesting transmitters should be removed softly both in terms of their energy state information (ESI) and channel state information (CSI). The convergence of our proposed algorithm can be guaranteed and power oscillation can be avoided.