上传人：bupt
上传时间：2017-12-18
视频描述：
主讲人： 丁峙教授(美国加州大学戴维斯分校（UC Davis）)
开始时间： 2017-12-18 10:00
结束时间： 2017-12-18 12:00
地点： 校本部-教三楼-205
主办单位： 校学术委员会、国际合作与交流处、电子工程学院
主讲人介绍： Prof. Zhi Ding (S'88-M'90-SM'95-F'03, IEEE) is a Professor of Electrical and Computer Engineering at the University of California, Davis. He received his Ph.D. degree in Electrical Engineering from Cornell University in 1990. From 1990 to 2000, he was a faculty member of Auburn University and later, University of Iowa. Prof. Ding has held visiting positions in Australian National University, Hong Kong University of Science and Technology, NASA Lewis Research Center and USAF Wright Laboratory. Hi
内容摘要：
The past decade has witnessed a strong trend of the convergence towards a packet-switched all-IP infrastructure in wireless networks. The domination of IP packets in cellular data communications has made header compression a vital process in wireless networks because of its important role in substantially improving spectrum efficiency by increasing packet payload. As competition intensifies for the limited bandwidth resource among a growing number of wireless applications, services, and users, it no longer suffices to only focus on PHY/MAC layers for spectral efficiency improvement. In this work, we present an innovative, ``trans-layer'' approach to integratively improve overall network efficiency. We propose an innovative approach by modeling header control as a partially observable Markov decision process (POMDP) in order to maximize the success rate and hence the efficiency of ROHC decompression. Unlike the ``cross-layer'' concept, our POMDP framework for ROHC relies on ``trans-layer'' informations observed through multiple interactive network layers, for optimized header compression design and control decisions. We develop novel methodologies and architectures to jointly optimize header compression and lower layer decisions in wireless networks to achieve significant improvement of transmission efficiency and robustness.
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