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9 - Multiple access

from Part II - CS-Based Wireless Communication

Published online by Cambridge University Press:  05 June 2013

Zhu Han
Affiliation:
University of Houston
Husheng Li
Affiliation:
University of Tennessee, Knoxville
Wotao Yin
Affiliation:
Rice University, Houston
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Summary

Introduction

In this chapter, we discuss multiple access using CS in the context of wireless communications. Essentially, multiple access means that multiple users send their data to a single receiver that needs to distinguish and reconstruct the data from these users, as illustrated in Figure 9.1. It exists in many wireless communication systems, such as

  • Cellular systems: In cellular systems, the mobile users within a cell are served by a base station. The users may need to transmit their data during the same time period; e.g., multiple cellular phone users make phone calls simultaneously.

  • Ad hoc networks: In such systems, there is no centralized base station. However, one node may need to receive data from multiple neighbors simultaneously; e.g., a relay node in a sensor network receives the reports from multiple sensors and forwards them to a data sink.

The key challenge of multiple access is how to distinguish the information from different transmitters. Hence, there are basically two types of multiple-access schemes:

• Orthogonal multiple access: This type of multiple access includes time division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA) and carrier sense multiple access (CSMA). In TDMA, each transmitter is assigned a timeslot and it can only transmit over the assigned time-slot. Hence, the signals from different transmitters are distinguished in the time. OFDMA has a similar scheme to TDMA. The only difference is that OFDMA allocates different frequency channels to different transmitters and thus separates the transmitters in the frequency domain.

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Publisher: Cambridge University Press
Print publication year: 2013

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  • Multiple access
  • Zhu Han, University of Houston, Husheng Li, University of Tennessee, Knoxville, Wotao Yin, Rice University, Houston
  • Book: Compressive Sensing for Wireless Networks
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139088497.010
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  • Multiple access
  • Zhu Han, University of Houston, Husheng Li, University of Tennessee, Knoxville, Wotao Yin, Rice University, Houston
  • Book: Compressive Sensing for Wireless Networks
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139088497.010
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Multiple access
  • Zhu Han, University of Houston, Husheng Li, University of Tennessee, Knoxville, Wotao Yin, Rice University, Houston
  • Book: Compressive Sensing for Wireless Networks
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139088497.010
Available formats
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