Overcoming MAC Overheads Using Packet Size Dependent Channel Widths

Abstract

In this paper, we propose to reduce the MAC overheads in random access protocols by partitioning the channel spectrum used into a narrow channel and a wide channel. The narrow channel is used for transmitting the short packets (approximately 100 bytes long) and the wide channel is used for transmitting the longer packets. We intend to use multiple radios, one each for the different channel partitions. Narrow width channels have a reduced capacity, which lowers the maximum transmission rate achievable on these channels. As a result the channel wastage due to the rate-independent MAC overhead can be reduced. We propose a protocol called WiSP (channel Width Selection based on Packet size) to estimate the appropriate channel widths depending on the relative traffic load involving short and long packets in the network. We evaluate our protocol using extensive simulations and demonstrate its effectiveness in achieving higher throughputs. We propose our algorithm to complement frame aggregation (which is an existing approach for minimizing MAC overheads). We show that there are scenarios during which the frame aggregation can perform poorly, and show that our proposed algorithm can provide a good performance even in those situations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA555030

Entities

People

  • Fan Wu
  • Nitin H. Vaidya
  • Vijay Raman

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • Channel Capacity
  • Communication Networks
  • Demographic Cohorts
  • Frequency
  • Networks
  • Simulations
  • Spectra
  • Throughput
  • Transmitting
  • Transport Protocols
  • Voice Over Internet Protocol
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Radar Systems Engineering.
  • Systems Analysis and Design