首页 | 本学科首页   官方微博 | 高级检索  
     


A Generalized Analytical Framework for SMPT in a Multicode CDMA Wireless System
Authors:Manjunath Krishnam  Martin Reisslein
Affiliation:(1) Dept. of Electrical Eng., Arizona State University, Goldwater Center, MC5706, Tempe, AZ 85287-5706, USA
Abstract:Simultaneous MAC Packet Transmission (SMPT) has recently been proposed for stabilizing the throughput over wireless links, which is one of the key challenges in providing high-quality wireless multimedia services. SMPT stabilizes the wireless link by transmitting multiple packets on multiple CDMA channels in parallel in response to packet drops due to wireless link errors. These parallel packet transmissions stabilize the link layer throughput, but they also increase the interference level in a given cell of a cellular network or cluster of an ad-hoc network, which in turn reduces the number of traffic flows that can be simultaneously supported in a cell/cluster. We have recently developed an analytical framework for the class of SMPT mechanisms for a simple Bernoulli packet generation process, which does not reflect the oftentimes bursty packet generation processes encountered in real networks. In this paper we develop a generalized analytical framework for SMPT, which accommodates bursty packet traffic (and also non-bursty Bernoulli traffic). This framework expresses the system dynamics in transition probabilities for a Markov chain and calculates the effects of the interference through an iterative approach. The numerical results from our analytical framework and verifying simulations indicate that SMPT provides a significant reduction in packet loss and buffer occupancies (and delay), especially for persistent traffic bursts, in exchange for a reduced number of supported flows. Our analytical framework quantifies these system trade-offs with good accuracy and can thus be employed for resource management.Manjunath Krishnam received the B.E. degree in Electronics and Communications from R.V. College of Engineering, Bangalore University, Bangalore, India, in 1996, the M.S. degree and Ph.D. degree in Electrical Engineering from Arizona State University, Tempe, AZ, in 1999 and 2004 respectively. His research interests are in the areas of network performance analysis, network and traffic modeling, and resource management in wireless networks. Mr. Krishnam is a member of IEEE.Martin Reisslein is an Assistant Professor in the Department of Electrical Engineering at Arizona State University, Tempe. He is affiliated with ASUrsquos Wireless Integrated Nano Technologyy (WINTech) center. He received the Dipl.-Ing. (FH) degree from the Fachhochschule Dieburg, Germany, in 1994, and the M.S.E. degree from the University of Pennsylvania, Philadelphia, in 1996. Both in electrical engineering. He received his Ph.D. in systems engineering from the University of Pennsylvania in 1998. During the academic year 1994–1995 he visited the University of Pennsylvania as a Fulbright scholar. From July 1998 through October 2000 he was a scientist with the German National Research Center for Information Technology (GMD FOKUS), Berlin. While in Berlin he was teaching courses on performance evaluation and computer networking at the Technical University Berlin. He is editor–in–chief of the IEEE Communications Surveys and Tutorials and has served on the Technical Program Committees of IEEE Infocom, IEEE Globecom, and the IEEE International Symposium on Computer and Communications. He has organized sessions at the IEEE Computer Communications Workshop (CCW). He maintains an extensive library of video traces for network performance evaluation, including frame size traces of MPEG–4 and H.263 encoded video, at He is co–recipient of the Best Paper Award of the SPIE Photonics East 2000—Terabit Optical Networking conference. His research interests are in the areas of Internet Quality of Service, video traffic characterization, wireless networking, and optical networking.
Keywords:ARQ  buffer occupancy  bursty packet traffic  capacity  link layer QoS  multicode CDMA  packet loss probability
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号