PROJECT TITLE :
Joint Wireless and Optical Power States Scheduling for Green Multi-Radio Fiber-Wireless Access Network
Because of the massive deployment of electrical network devices, Fiber-Wireless (FiWi) access network should suffer from the challenge of high energy consumption. With the ever-increasing anticipating green communication infrastructure, the issue of high energy consumption could become one of the most important barriers for the advance of FiWi access network. Previous works proposed for green FiWi access network cover three aspects, together with the optimized deployment of network devices like optical network units (ONUs), the energy-efficient bandwidth allocation of ONUs with QoS guarantee, and also the dynamic power states scheduling of ONUs (i.e., active/sleep) consistent with their traffic profile. But, these works didn't take the energy-saving design of wireless subnetwork into account simultaneously. After all, when some ONUs in the optical subnetwork are switched into sleep states, part of the radio interfaces originally forwarding traffic to the sleep ONUs would be idle or low-loaded. This provides a potential chance for energy-saving in wireless subnetwork by switching off the idle or low-loaded radios. This paper focuses on the planning of inexperienced multi-radio FiWi access network by integrating the energy-savings of optical and wireless subnetworks. To support the energy-economical design, the new power states are defined for ONUs and radios, respectively. Aiming at dynamic traffic profile, the heuristic algorithms are proposed for the energy saving of integrated wireless front-finish and optical back-end of FiWi access network. First, the Energy-saving algorithm with ONU sleep mechanism (EAS) is proposed to dynamically schedule the power states of ONUs by judging their traffic profile with load thresholds. Then, the Energy-saving algorithm primarily based on Radios Off (ERO) is proposed to reconfigure the topology of wireless subnetwork by controlling the facility states of radios dynamically. Moreover, wireless rerouting is utilized in both EAS and ERO to guarantee the QoS provisioning abilit- of network. Finally, a comprehensive energy-saving theme known as EE is proposed by combining the EAS and ERO algorithms strategically. Simulation results show that with the affordable setting of parameters, the proposed EE scheme can save the energy of thirty three.14% to 64.thirty five% and eight.56% to 36.42% in a wide selection of traffic load compared to the No-energy-saving and QoS-aware energy-saving situations, respectively.
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