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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Vydané v:	IEEE transactions on communications Ročník 56; číslo 11; s. 1961 - 1971
Hlavní autori:	Anh Tuan Hoang, Motani, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.11.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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 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
ISSN:	0090-6778, 1558-0857
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Popis
Shrnutí:	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.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2008.060618