Performance analysis of in-band collision detection for dense wireless networks

被引:0
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作者
Tom Vermeulen
Brecht Reynders
Fernando E. Rosas
Marian Verhelst
Sofie Pollin
机构
[1] KU Leuven,ESAT
[2] Imperial College London,WAVECORE
[3] Imperial College London,Data Science Institute
[4] Imperial College London,Department of Brain Sciences
关键词
In-band full-duplex; Collision detection; Software-defined radio;
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摘要
With the massive growth of wireless networks comes a bigger impact of collisions and interference, which has a negative effect on throughput and energy efficiency. To deal with this problem, we propose an in-band wireless collision and interference detection scheme based on full-duplex technology. To study its performance, we compare its throughput and energy efficiency with the performance of traditional half-duplex and symmetric in-band full-duplex transmissions. Our analysis considers a realistic protocol and overhead modeling, and a measurement-based self-interference model. Our results indicate that our proposed collision detection scheme can provide significant gains in terms of throughput and energy efficiency in large wireless networks. Moreover, when compared to half-duplex and symmetric full-duplex, our analysis shows that this scheme allows up to 45% more nodes in the network for the same energy consumption per bit. These results suggest that this could be an enabling technology towards efficient, dense wireless networks.
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