Resources Optimization And Control In The Energy Harvesting Heterogeneous Network

Recently, the development of energy harvesting technologies and the advocacy of green communication have contributed to enduring interests of energy harvesting wire-less communication networks. Simultaneously, the study on wireless energy transfer (WET) or wireless power transfer (WPT) leads to the emerging interest of simultane-ous wireless information and power Transfer (SWIPT) communication system. How to effectively use the harvested energy to achieve the maximal throughput or transmis-sion utility is the focus of energy harvesting wireless communication networks. In this dissertation, a few different scenarios for energy harvesting wireless communication networks were took into consideration, several online resource scheduling algorithms were derived based on stochastic optimization theory. The detail of our work is sum-marized as follows:1. Firstly, we investigated the expected transmission utility maximization problem of an energy harvesting wireless transmitter. Under the stochastic energy har-vesting process and random wireless fading channel, the expected transmission utility maximization problem was formulated as a queuing model with queue sta-bility constraints. An online resource scheduling algorithm based on Lyapunov optimization techniques was designed to maximize the transmission utility of the wireless transmitter. The proposed online algorithm has the advantages of low complexity and required no priori knowledge about the energy harvesting pro-cess and the wireless channel. Additionally, the proposed online algorithm can be easily extended to more complex scenes and be deployed in a distributed way. The computer simulation results based on Matlab demonstrate the validity and effectiveness of the proposed online algorithm and its theoretic analysis.2. Taking the adaptive transmission problem of Scalable Video Coding (SVC) video in energy harvesting communication systems into consideration, the base layer of the SVC video should be forwarded with the highest priority and more enhance-ment layers should be transmitted to obtain a greater degree of video quality. At the same time, the frequent video layer switching should be avoided to improve the QoS of the video service. The adaptive transmission problem of SVC video was formulated as a average transmission utility maximization problem. In order to addressed this problem, the Lyapunov optimization techniques was employed and an online dynamic video layer transmission algorithm was derived. The ad-vantage of the proposed online dynamic video layer transmission algorithm is that it makes decision without any priori knowledge about the energy harvesting pro-cess and the wireless channel. In simulations, the real SVC traces were used for verifying the performance of the dynamic video layer transmission algorithm.3. Focusing on the adaptive transmission problem of SVC video under stochastic energy harvesting process. The channel was modeled as a block fading channel. The transmitter should keep a certain amount of energy to avoid the sharp decline in the quality of video service caused by transmission interruption of base layer, meanwhile, the transmitter should use the harvested energy in the most efficient manner to transmit more enhancement layers. The adaptive transmission problem can be formulated as a CMDP model. We introduced Approximate Dynamic Pro-gramming (ADP) theory and decomposed system state transition process into two logically independent parts. After that, an online learning video layer transmis-sion algorithm was proposed based on a virtual state named Post-Decision State (PDS). Additionally, a online GMM-EM algorithm was introduced to learning the knowledge of the energy harvesting process which is conducive to improve the performance of the proposed algorithm and speed up the learning rate of the proposed algorithm. Numerical simulation experiments of real SVC video trace were conducted to demonstrate the effectiveness of the PDS-based online learning video layer transmission algorithm.4. Finally, we concentrated on the standardization of the Simultaneous Wireless In-formation and Power Transfer (SWIPT) system. Specially, we defined the state and state transition process for the transmitter and receiver in SWIPT system where radio signals are used as the carrier of both information and energy. The advantages of the these SWIPT system include a longer transmission distance, better convenience and can serve a large number of devices in a parallel mode.