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具有吞吐量和时延约束的软件无线电波形部署决策算法
引用本文:吴尚峰,唐麒,魏急波,李卫.具有吞吐量和时延约束的软件无线电波形部署决策算法[J].国防科技大学学报,2015,37(1):136-141.
作者姓名:吴尚峰  唐麒  魏急波  李卫
作者单位:1. 国防科技大学 电子科学与工程学院,湖南 长沙,410073
2. 国防科技大学 电子科学与工程学院,湖南 长沙 410073; 中国电子科技集团公司第五十四研究所 通信网信息传输与分发技术重点实验室,河北 石家庄 050081
3. 国防科技大学 电子科学与工程学院,湖南 长沙 410073; 中国人民解放军 75753 部队,广东 广州 510600
基金项目:国家部委资助项目;重点实验室基金项目
摘    要:针对当前具有吞吐量和时延约束的软件无线电波形部署决策算法在内存开销方面考虑的不足,提出一个更为通用的波形部署决策系统模型,将波形的处理开销、内存开销和通信带宽开销都纳入到波形部署决策过程中,并设计了一种基于动态规划的波形部署决策算法以最小化波形对平台各种计算资源的占用总和。仿真结果表明,内存对波形部署决策具有重要影响,与未考虑内存开销的解决方案相比,平台支持的平均最大波形数目和平均处理资源利用率均下降40%左右。

关 键 词:软件无线电  波形部署决策  吞吐量和时延约束  流水线调度  动态规划
收稿时间:2014/4/15 0:00:00

A Deployment Decision-making Algorithm for Software Defined Radio Waveforms with Throughput and Latency Constraints
WU Shangfeng,TANG Qi,WEI Jibo and LI Wei.A Deployment Decision-making Algorithm for Software Defined Radio Waveforms with Throughput and Latency Constraints[J].Journal of National University of Defense Technology,2015,37(1):136-141.
Authors:WU Shangfeng  TANG Qi  WEI Jibo and LI Wei
Institution:WU Shangfeng;TANG Qi;WEI Jibo;LI Wei;College of Electronic Science and Engineering,National University of Defense Technology;Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory,The 54th Research Institute of China Electronics Technology Group Corporation;The PLA Unit 75753;
Abstract:Aimed at the problem that current deployment decision-making algorithms for software defined radio waveforms with throughput and latency constraints had paid little attention to the memory overhead, a more general system model for waveform deployment decision-making was proposed, by which the processing, memory and communication bandwidth were all incorporated in the process of waveform deployment decision-making. Besides, a dynamic programming-based algorithm for waveform deployment decision-making was devised to minimize the sum of various kinds of computing resource occupancies of waveform. The simulation results shown that the memory had important effects on the waveform deployment decision-making; compared with not considering the memory overhead, the average maximum waveform number platform supported and the average processing resource usage both decreased about 40%.
Keywords:software defined radio  waveform deployment decision-making  throughput and latency constraints  pipelined scheduling  dynamic programming
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