Practical, real-time, full duplex wireless

Mayank Jain, Jung Il Choi, Taemin Kim, Dinesh Bharadia, Siddharth Seth, Kannan Srinivasan, Philip Levis, Sachin Katti, Prasun Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1158 Scopus citations


This paper presents a full duplex radio design using signal inversion and adaptive cancellation. Signal inversion uses a simple design based on a balanced/unbalanced (Balun) transformer. This new design, unlike prior work, supports wideband and high power systems. In theory, this new design has no limitation on bandwidth or power. In practice, we find that the signal inversion technique alone can cancel at least 45dB across a 40MHz bandwidth. Further, combining signal inversion cancellation with cancellation in the digital domain can reduce self-interference by up to 73dB for a 10MHz OFDM signal. This paper also presents a full duplex medium access control (MAC) design and evaluates it using a testbed of 5 prototype full duplex nodes. Full duplex reduces packet losses due to hidden terminals by up to 88%. Full duplex also mitigates unfair channel allocation in AP-based networks, increasing fairness from 0.85 to 0.98 while improving downlink throughput by 110% and uplink throughput by 15%. These experimental results show that a re- design of the wireless network stack to exploit full duplex capability can result in significant improvements in network performance. © 2011 ACM.
Original languageEnglish (US)
Title of host publicationProceedings of the 17th annual international conference on Mobile computing and networking - MobiCom '11
PublisherAssociation for Computing Machinery (ACM)
Number of pages12
ISBN (Print)9781450304924
StatePublished - 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by generous gifts from DoCoMo Capital,the National Science Foundation under grants #0832820, #0831163,#0846014 and #0546630, the King Abdullah University of Scienceand Technology (KAUST), Microsoft Research, scholarships fromthe Samsung Scholarship Foundation, a Stanford Graduate Fellowshipand a Stanford Terman Fellowship. We would like to thankMango Communications, especially Patrick Murphy, for timely arrangement for theWARP boards and support. Finally, we sincerelythank the anonymous reviewers for their invaluable comments.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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