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Developing an asynchronous NoAck-based full-duplex MAC for IEEE 802.11 networks in a systems approach
- Source :
- Computer Communications. 174:172-189
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Many studies have introduced full-duplex (FD) medium access controls (MAC) in wireless networks that realize the physical FD capability of the latest devices. However, practical experiences with 802.11 wireless LANs (WLANs) have not yet been addressed. This study proposes a novel FD MAC that extends the IEEE 802.11 based on no acknowledgment (NoAck) data transmission. Because ACK is not needed after data transmission, the MAC can be purely asynchronous; there is neither overhead required for synchronizing transmission, such as request-to-send/clear-to-send (RTS/CTS) handshaking, nor wasted time even in asymmetric traffic. The proposed MAC also provides access point (AP) initiated uni-directional full-duplex (AP-initiated UFD) transmission, which has mostly not been supported in practice, by extending the carrier sense condition. An approximated collision avoidance method is also introduced, where a CTS frame without a preceding RTS is transmitted by AP using FD capability to protect the frame being received. A prototype of the proposed MAC is implemented in ns-3 network simulator, and extensive simulation experiments are conducted in various test setups to validate the correct MAC behaviors, performance improvement, and fairness. The results show that performance improvements, more than twice as high under favorable conditions, are possible while maintaining interoperability with legacy devices.
- Subjects :
- Computer Networks and Communications
business.industry
Wireless network
Computer science
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Frame (networking)
020206 networking & telecommunications
02 engineering and technology
Network simulation
Handshaking
IEEE 802.11
Transmission (telecommunications)
Asynchronous communication
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
Computer network
Data transmission
Subjects
Details
- ISSN :
- 01403664
- Volume :
- 174
- Database :
- OpenAIRE
- Journal :
- Computer Communications
- Accession number :
- edsair.doi...........6af41e6febaef81592e11055f95bc145
- Full Text :
- https://doi.org/10.1016/j.comcom.2021.04.018