Stable Throughput for Multicast With Random Linear Coding
This paper compares scheduling and coding strategies for a multicast version of a classic downlink problem. We consider scheduling strategies where, in each time slot, a scheduler observes the lengths of all queues and the connectivities of all links and can transmit the head-of-the-line packet from...
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| Vydáno v: | IEEE transactions on information theory Ročník 57; číslo 1; s. 267 - 281 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.01.2011
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9448, 1557-9654 |
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| Abstract | This paper compares scheduling and coding strategies for a multicast version of a classic downlink problem. We consider scheduling strategies where, in each time slot, a scheduler observes the lengths of all queues and the connectivities of all links and can transmit the head-of-the-line packet from a single queue. We juxtapose this to a coding strategy that is simply a form of classical random linear coding. We show that there are configurations for which the stable throughput region of the scheduling strategy is a strict subset of the corresponding throughput region of the coding strategy. This analysis is performed for both time-invariant and time-varying channels. The analysis is also performed both with and without accounting for the impact on throughput of including coding overhead symbols in each encoded packet. Additionally, we compare coding strategies that only code within individual queues against a coding strategy that codes across separate queues. The strategy that codes across queues simply sends packets from all queues to all receivers. As a result, this strategy sends many packets to unnecessary recipients. We show, surprisingly, that there are cases where the strategy that codes across queues can achieve the same throughput region achievable by coding within individual queues. |
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| AbstractList | This paper compares scheduling and coding strategies for a multicast version of a classic downlink problem. We consider scheduling strategies where, in each time slot, a scheduler observes the lengths of all queues and the connectivities of all links and can transmit the head-of-the-line packet from a single queue. We juxtapose this to a coding strategy that is simply a form of classical random linear coding. We show that there are configurations for which the stable throughput region of the scheduling strategy is a strict subset of the corresponding throughput region of the coding strategy. This analysis is performed for both time-invariant and time-varying channels. The analysis is also performed both with and without accounting for the impact on throughput of including coding overhead symbols in each encoded packet. Additionally, we compare coding strategies that only code within individual queues against a coding strategy that codes across separate queues. The strategy that codes across queues simply sends packets from all queues to all receivers. As a result, this strategy sends many packets to unnecessary recipients. We show, surprisingly, that there are cases where the strategy that codes across queues can achieve the same throughput region achievable by coding within individual queues. This paper compares scheduling and coding strategies for a multicast version of a classic downlink problem. We consider scheduling strategies where, in each time slot, a scheduler observes the lengths of all queues and the connectivities of all links and can transmit the head-of-the-line packet from a single queue. We juxtapose this to a coding strategy that is simply a form of classical random linear coding. We show that there are configurations for which the stable throughput region of the scheduling strategy is a strict subset of the corresponding throughput region of the coding strategy. This analysis is performed for both time-invariant and time-varying channels. The analysis is also performed both with and without accounting for the impact on throughput of including coding overhead symbols in each encoded packet. Additionally, we compare coding strategies that only code within individual queues against a coding strategy that codes across separate queues. The strategy that codes across queues simply sends packets from all queues to all receivers. As a result, this strategy sends many packets to unnecessary recipients. We show, surprisingly, that there are cases where the strategy that codes across queues can achieve the same throughput region achievable by coding within individual queues. [PUBLICATION ABSTRACT] |
| Author | Ephremides, Anthony Cogill, Randy Shrader, Brooke |
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| Keywords | Time variable channel Wireless telecommunication Information rate Teletraffic Downlink Cross-layer control wireless networks Scheduling queueing systems Random coding Information transmission Data broadcast Information dissemination random linear coding Multicast Time invariance Linear coding Queueing system Traffic management Cross-layer approach Traffic control Wireless network Connectedness |
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| References | meyn (ref18) 2007 ref12 ref15 ref14 cogill (ref5) 2008 ref11 ref22 ref21 ref2 ref17 draper (ref6) 2006 ref16 ross (ref20) 2007 ref19 ho (ref13) 2006 ref8 ref7 ghaderi (ref10) 2007 ref4 ref3 georgiadis (ref9) 2006 asmussen (ref1) 1987 |
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| SubjectTerms | Accounting Applied sciences Channels Codes Coding Coding, codes Connectivity Cross-layer control Encoding Exact sciences and technology Information processing Information theory Information, signal and communications theory Markov processes Multicast Packet transmission Queueing analysis queueing systems Queues Queuing random linear coding Receivers Scheduling Signal and communications theory Stability criteria Strategy Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teletraffic Throughput Transmission and modulation (techniques and equipments) wireless networks |
| Title | Stable Throughput for Multicast With Random Linear Coding |
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