The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells

Mobile Information Systems, Dec 2015

As the current network is designed for peak loads, it results in insufficient resource utilization and energy waste. Virtualized technology makes it possible that intelligent energy perception network could be deployed and resource sharing could become an effective energy saving technology. How to make more small cells into sleeping state for energy saving in ultradense small cell system has become a research hot spot. Based on the mapping feature of virtualized network, a new wireless resource mapping algorithm for saving energy in ultradense small cells has been put forward when wireless resource amount is satisfied in every small cell. First of all, the method divides the virtual cells. Again through the alternate updating between small cell mapping and wireless resource allocation, least amount of small cells is used and other small cells turn into sleeping state on the premise of guaranteeing users’ QoS. Next, the energy consumption of the wireless access system, wireless resource utilization, and the convergence of the proposed algorithm are analyzed in theory. Finally, the simulation results demonstrate that the algorithm can effectively reduce the system energy consumption and required wireless resource amount under the condition of satisfying users’ QoS.

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The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells

The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells Sai Zou,1,2 Fan Yang,1 Yulian Tang,1 and Lei Xiao2 1Department of Communication Engineering, Xiamen University, Xiamen 361005, China 2Chongqing College of Electronic Engineering, Chongqing 401331, China Received 23 August 2015; Revised 11 November 2015; Accepted 12 November 2015 Academic Editor: Qilian Liang Copyright © 2015 Sai Zou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract As the current network is designed for peak loads, it results in insufficient resource utilization and energy waste. Virtualized technology makes it possible that intelligent energy perception network could be deployed and resource sharing could become an effective energy saving technology. How to make more small cells into sleeping state for energy saving in ultradense small cell system has become a research hot spot. Based on the mapping feature of virtualized network, a new wireless resource mapping algorithm for saving energy in ultradense small cells has been put forward when wireless resource amount is satisfied in every small cell. First of all, the method divides the virtual cells. Again through the alternate updating between small cell mapping and wireless resource allocation, least amount of small cells is used and other small cells turn into sleeping state on the premise of guaranteeing users’ QoS. Next, the energy consumption of the wireless access system, wireless resource utilization, and the convergence of the proposed algorithm are analyzed in theory. Finally, the simulation results demonstrate that the algorithm can effectively reduce the system energy consumption and required wireless resource amount under the condition of satisfying users’ QoS. 1. Introduction With the rise of green network research, the problem of network energy consumption has become a research hot spot [1–3]. A large number of institutions have studied the network energy consumption, for example, the SMART2020 plan proposed by World Climate Group, North American’ Green NGI, and British’ Green Radio Cores. Most of these projects are applications of communication technology in other fields to reduce global carbon emissions without paying much attention to energy saving technology of mobile communication itself. The existing references point out that the fifth generation (5G) of mobile communication system is green, which indicates that the research on the wireless network for saving energy is of great significance [4]. 5G mobile communication system is expected to increase spectrum and energy efficiency at least 10 times and to increase throughput at least 25 times compared to 4G mobile communication system [5]. According to the Shannon theorem, in order to deal with the pressure of increasing capacity of future wireless network, the traditional solution is to increase the number of base stations and to reduce the size of base station coverage so as to achieve the goal of capacity growth. Obviously, this greatly increases the energy consumption of wireless access networks. 5G mobile communication system technology is mainly for ultradense network scenarios to manage the deployment of a large number of micro base stations [5]. In response to the capacity increase pressure in future, 5G mobile communication system has become the next battlefield where communications industry giants solve the problem of capacity increase [4, 5]. 5G mobile communication system technology mainly does not change or only changes partial current network structure and takes advantage of the function of the software to realize the dynamic management of the network. The existing wireless communication network system is mainly designed for area coverage and peak value. That only considers area coverage at the initial stage of deployment, but with the pass of time and the increase of village capacity, it is necessary to divide insufficient capacity of cells, which will make the wireless network topology random and multiply covered [6, 7]. A huge number of base stations mean high power consumption [7]. It has become the direction of the future communication industry and social development to conserve energy, to reduce emissions, and to develop a low-carbon society. Therefore, the research and implementation based on energy conservation as the goal of the new mobile communication network resource control technology are the priority of 5G mobile communication system. As the network system is designed for peak load, generally speaking the average load of the network is much lower than the busy load. Based on this, some scholars point out that when there are less active users, they can reduce the number of antenna configurations or sleep base stations directly to achieve the effect of (...truncated)


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Sai Zou, Fan Yang, Yulian Tang, Lei Xiao. The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells, Mobile Information Systems, 2015, 2015, DOI: 10.1155/2015/958431