Optimal resource allocation and leaky bucket based power control for CBR MIMO systems

IPCCC(2005)

引用 3|浏览5
暂无评分
摘要
Supporting high-quality video transmission across wireless networks demands not only high but also constant bit rate (CBR). In order to provide a CBR channel, large modifications in transmitting power requirement would normally be necessary to inverse extremely high variation in channel fading. However, with a multiple input and multiple output (MIMO) system, sub-channel diversity can "smooth out" aggregate channel fluctuation, making it possible to support a CBR channel with efficient power control. We have devised an optimal antenna transmitting power and bits-per-symbol allocation algorithm that can reduce significantly, the total power consumption required to maintain CBR channels. We also utilize a secondary power control based on leaky bucket paradigm for smooth battery drain and to make peak power utilization to within system requirements. Simulation results reveal that under practical power fluctuation constraints, the scheme can achieve power savings of up to 10 dB with a 4×4 antenna system.
更多
查看译文
关键词
MIMO systems,adaptive antenna arrays,adaptive modulation,channel coding,data compression,diversity reception,energy conservation,error statistics,fading channels,modulation coding,power consumption,power control,resource allocation,video coding,CBR,MIMO system,V-BLAST,adaptive modulation,antenna system,bits-per-symbol allocation algorithm,channel fading,constant bit rate,high-quality video transmission,leaky bucket based power control,multiple input-multiple output,optimal resource allocation,peak power utilization,power consumption,power fluctuation constraint,power saving,subchannel diversity,wireless network
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要