Multicast Queueing Delay: Performance Limits and Order-Optimality of Random Linear Coding

Abstract

In this work we analyze the average queue backlog for transmission of a single multicast flow consisting of M destination nodes in a wireless network. In the model we consider the channel between every pair of nodes an independent identically distributed packet erasure channel. We first develop a lower bound on the average queue backlog achievable by any transmission strategy; for a single-hop multicast transmission, our bound indicates that the queue size must scale as at least Omega(In(M)). Next, we generalize this result to a multihop network and obtain a lower bound on the queue backlog as it relates to the minimum-cut capacity of the network. We then analyze the queue backlog for a strategy in which random linear coding is performed over groups of packets in the queue at the source node of a single-hop multicast. We develop an upper bound on the average queue backlog for the packet-coding strategy to show that the queue size for this strategy scales as O(In(M)). Our results demonstrate that in terms of the queue backlog for single-hop multicast, the packet coding strategy is order-optimal with respect to the number of receivers.

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Document Details

Document Type
Technical Report
Publication Date
Dec 10, 2010
Accession Number
ADA540487

Entities

People

  • Brooke Shrader
  • Randy Cogill

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Binomials
  • Coding
  • Department Of Defense
  • Electronic Mail
  • Intervals
  • Markov Chains
  • Networks
  • Parallel Computing
  • Parallel Processing
  • Probability
  • Random Variables
  • Steady State
  • Terminals
  • Transmitters
  • United States
  • United States Government
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Mathematical Modeling and Probability Theory.