Title
BiPass: Enabling End-to-End Full Duplex.
Abstract
Full duplex techniques can potentially double the channel capacity and achieve lower delays by empowering two radios to simultaneously transmit in thesame frequency band.However, full duplex is only available between two adjacent nodes within the communication range. In this paper, we present BiPass to break this limitation.With the help of full duplex capable relays, weenable simultaneous bidirectional in-band cut-through transmissions between two far apart nodes, so they can do full duplex communications as if they were within each other's transmission range.To design such a system, we analyze interference patterns and propose a loop-back interference cancellation strategy. We identify the power amplification problem at relay nodes and develop an algorithm to solve it. We also develop a routing algorithm, an opportunistic forwarding scheme, and a real-time feedback strategy to leverage this system in ad-hoc networks.To evaluate the real world performance of BiPass, we build a prototype and conduct experiments using software defined radios. We show that BiPass can achieve 1.6x median throughput gain over state-of-the-art one-way cut-through systems, and 4.09x gain over the decode-and-forward scheme. Our simulations further reveal that even when the data traffic is not bidirectional, BiPass has 1.36x throughput gain and 47\% delay reduction overone-way cut-through systemsin large networks.
Year
DOI
Venue
2017
10.1145/3117811.3117826
MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking Snowbird Utah USA October, 2017
Keywords
Field
DocType
Full duplex, interference cancellation, multi-hop, relay
Duplex mismatch,End-to-end principle,Computer science,Single antenna interference cancellation,Computer network,Interference (wave propagation),Throughput,Channel capacity,Relay,Duplex (telecommunications)
Conference
ISBN
Citations 
PageRank 
978-1-4503-4916-1
3
0.39
References 
Authors
11
5
Name
Order
Citations
PageRank
Lu Chen12914.03
Fei Wu2153.66
Jiaqi Xu31069.50
Kannan Srinivasan41324117.98
N. B. Shroff56994519.23