认知OFDM系统中基于业务特性的能量有效多播资源分配研究

项目名称： 认知OFDM系统中基于业务特性的能量有效多播资源分配研究

项目编号： No.61471059

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 许文俊

作者单位： 北京邮电大学

项目金额： 80万元

中文摘要： 随着无线通信技术的发展，无线网络数目显著增多，无线系统能耗急剧攀升；同时，现有固定频带划分造成了频谱资源的低效利用。针对降低能耗与提升谱效双重挑战，本项目研究认知OFDM系统中基于业务特性的能量有效多播资源分配问题。以业务特性为主线，分别进行理想业务、一般性实际业务、移动视频业务下能量有效多播资源分配研究。对于理想业务，从只考虑数据传输能耗开始，逐步增加考虑频谱感知能耗和外部能量收集，研究联合调整时长、频谱、功率的能效优化；对于一般性实际业务，利用网络微积分技术平滑业务动态性减少能耗，同时基于用户兴趣、社交关系创造多播机会，减少业务传输次数而实现能效提升；对于移动视频业务，设计能量效用替代传统的能量效率，采用高级编码和多天线技术实现视频业务的能量有效传输。本项目聚焦于多播资源分配，从被动利用多播转变为主动创造多播，有效提升认知OFDM系统能效，有助于我国节能减排目标的实现。

中文关键词： 认知无线电；资源分配；频谱分配；能量有效；业务特性

英文摘要： With the development of wireless communication technologies, the number of wireless networks is rising remarkably, and therefore the energy consumption of wireless systems is increasing dramatically. Meanwhile, the existing fixed spectrum allocation also results in the inefficient spectrum resource utilization. To address the dual challenges of reducing energy consumption and improving spectrum efficiency, this project studies the energy-efficient multicast resource allocation problem based on traffic characteristics in OFDM-based cognitive radio (CR) systems. Driven by various traffic characteristics, this project considers energy-efficient multicast resource allocation respectively with ideal traffic model, general practical-traffic model and mobile video traffic model. For ideal traffic model, the energy efficiency, in which the energy consumption for spectrum sensing and the harvested energy from surroundings are incrementally covered besides the energy consumption for data transmission, is optimized by jointly adjusting durations, spectrum occupation and power. For general practical-traffic model, the energy consumption is reduced by smoothing the dynamics of aggregated traffic with network calculus technology, and moreover the total times of traffic transmission are lessened to promote the energy efficiency by creating multicast opportunities based on both mobile users' interest and their social relationship. For mobile video traffic model, with the energy utilization as the objective function instead of the conventional energy efficiency, the energy-efficient video transmission is achieved by adopting the advanced video coding and multi-antenna technologies. This project concentrates on energy-efficient multicast resource allocation, specifically, from passive multicast exploitation to active multicast opportunity creation, significantly improves the energy efficiency of OFDM-based CR systems, and hence is instrumental in the realization of the national energy conservation and emission reduction targets.

英文关键词： cognitive radio;resource allocation;spectrum allocation;energy-efficient;traffic characteristics