Cross-layer adaptive transmission with incomplete system state information
We consider a point-to-point communication system in which data packets randomly arrive to a finite-length buffer and are subsequently transmitted to a receiver over a time-varying wireless channel. Data packets are subject to loss due to buffer overflow and transmission errors. We study the problem...
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| Veröffentlicht in: | IEEE transactions on communications Jg. 56; H. 11; S. 1961 - 1971 |
|---|---|
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
IEEE
01.11.2008
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0090-6778, 1558-0857 |
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| Abstract | We consider a point-to-point communication system in which data packets randomly arrive to a finite-length buffer and are subsequently transmitted to a receiver over a time-varying wireless channel. Data packets are subject to loss due to buffer overflow and transmission errors. We study the problem of adapting the transmit power and rate based on the buffer and channel conditions so that the system throughput is maximized, subject to an average transmit power constraint. Here, the system throughput is defined as the rate at which packets are successfully transmitted to the receiver. We consider this buffer/channel adaptive transmission when only incomplete system state information is available for making control decisions. Incomplete system state information includes delayed and/or imperfectly estimated channel gain and quantized buffer occupancy. We show that, when some delayed but error-free channel state information is available, optimal buffer/channel adaptive transmission policies can be obtained using Markov decision theory. When the channel state information is subject to errors and when the buffer occupancy is quantized, we discuss various buffer/channel adaptive heuristics that achieve good performance. In this paper, we also consider the tradeoff between packet loss due to buffer overflow and packet loss due to transmission errors. We show by simulation that exploiting this tradeoff leads to a significant gain in the system throughput. |
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| AbstractList | In this paper, we also consider the tradeoff between packet loss due to buffer overflow and packet loss due to transmission errors. We consider a point-to-point communication system in which data packets randomly arrive to a finite-length buffer and are subsequently transmitted to a receiver over a time-varying wireless channel. Data packets are subject to loss due to buffer overflow and transmission errors. We study the problem of adapting the transmit power and rate based on the buffer and channel conditions so that the system throughput is maximized, subject to an average transmit power constraint. Here, the system throughput is defined as the rate at which packets are successfully transmitted to the receiver. We consider this buffer/channel adaptive transmission when only incomplete system state information is available for making control decisions. Incomplete system state information includes delayed and/or imperfectly estimated channel gain and quantized buffer occupancy. We show that, when some delayed but error-free channel state information is available, optimal buffer/channel adaptive transmission policies can be obtained using Markov decision theory. When the channel state information is subject to errors and when the buffer occupancy is quantized, we discuss various buffer/channel adaptive heuristics that achieve good performance. In this paper, we also consider the tradeoff between packet loss due to buffer overflow and packet loss due to transmission errors. We show by simulation that exploiting this tradeoff leads to a significant gain in the system throughput. |
| Author | Anh Tuan Hoang Motani, M. |
| Author_xml | – sequence: 1 surname: Anh Tuan Hoang fullname: Anh Tuan Hoang organization: Dept. of Networking Protocols, Inst. for Infocomm Res., Singapore – sequence: 2 givenname: M. surname: Motani fullname: Motani, M. |
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| Keywords | Overflow(computer arithmetics) Performance evaluation Markov process Parameter estimation Markov decision partially observable Markov decision processes Wireless telecommunication Information rate Data transmission Uncertain system Channel estimation adaptive transmission Delay time Incomplete information Time variable channel Packet switching throughput maximization Cross-layer design Buffer system Information transmission Simulation Decision theory Telecommunication system Heuristic method Transmission loss Transmission error |
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| References | ref13 ref12 ref15 stuber (ref22) 1999 ref14 zhang (ref23) 2002 ref11 ref2 ref17 ref16 ref19 rajan (ref10) 2001 ref18 nourbakhsh (ref27) 1995; 16 collins (ref6) 1999 ref24 ref25 ref20 ref21 kumar (ref26) 1986 hoang (ref8) 2003 ref28 ref7 ref9 ref4 ref3 ref5 wang (ref1) 1995; 44 |
| References_xml | – volume: 44 start-page: 473 year: 1995 ident: ref1 article-title: Finite-state markov channel?a useful model for radio communication channels publication-title: IEEE Trans Veh Technol – year: 1999 ident: ref22 publication-title: Principles of Mobile Communication – ident: ref18 doi: 10.1016/B978-1-55860-377-6.50052-9 – ident: ref24 doi: 10.1109/26.87156 – ident: ref3 doi: 10.1109/TCOMM.2008.060214 – ident: ref25 doi: 10.1109/26.392965 – ident: ref16 doi: 10.1109/TCOMM.2004.831354 – ident: ref20 doi: 10.1109/TWC.2005.847005 – ident: ref11 doi: 10.1109/TWC.2006.1611068 – ident: ref5 doi: 10.1109/26.634685 – ident: ref13 doi: 10.1109/TWC.2006.1611093 – ident: ref2 doi: 10.1109/26.891220 – ident: ref17 doi: 10.1109/TWC.2006.256974 – ident: ref4 doi: 10.1109/18.641562 – ident: ref21 doi: 10.1049/el:19911328 – ident: ref12 doi: 10.1109/INFCOM.2003.1208946 – start-page: 1 year: 1999 ident: ref6 article-title: Transmission policy for time varying channel with average delay constraints publication-title: Allerton Conf on Communication Control and Computing – ident: ref28 doi: 10.1007/BF02055574 – ident: ref19 doi: 10.1109/TWC.2004.833474 – year: 1986 ident: ref26 publication-title: Stochastic Systems Estimation Identification and Adaptive Control – year: 2001 ident: ref10 article-title: Transmission policies for bursty traffic sources on wireless channels publication-title: Proc 35th Annual Conference on Information Science and Systems (CISS) – ident: ref7 doi: 10.1109/18.995554 – ident: ref15 doi: 10.1109/TCOMM.2005.844934 – start-page: 2748 year: 2003 ident: ref8 article-title: Buffer and channel adaptive modulation for transmission over fading channels publication-title: Proc ICC'03 – ident: ref14 doi: 10.1109/CISS.2006.286600 – volume: 16 start-page: 53 year: 1995 ident: ref27 article-title: Dervish: an office-navigating robot publication-title: AI Mag – ident: ref9 doi: 10.1109/INFCOM.2003.1208683 – start-page: 876 year: 2002 ident: ref23 article-title: Analysis on Markov modeling of packet transmission over wireless channels publication-title: Proc IEEE WCNC'02 |
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| Snippet | We consider a point-to-point communication system in which data packets randomly arrive to a finite-length buffer and are subsequently transmitted to a... In this paper, we also consider the tradeoff between packet loss due to buffer overflow and packet loss due to transmission errors. |
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| SubjectTerms | Adaptive control adaptive transmission Algorithms Applied sciences Buffer overflow Buffers Channel state information Channels Communication systems Control systems Cross-layer design Decisions Delay estimation Detection, estimation, filtering, equalization, prediction Exact sciences and technology Gain Information, signal and communications theory partially observable Markov decision processes Policies Programmable control Propagation losses Receivers Signal and communications theory Signal, noise Studies Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Throughput throughput maximization Time varying systems Transmission and modulation (techniques and equipments) Transmission error |
| Title | Cross-layer adaptive transmission with incomplete system state information |
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