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Adaptive Transmission Control in Multiple Interference Neutralization Groups
In wireless multihop networks, interference neutralization (IN) is a promising approach for interference management. IN enables multiple source-destination pairs to simultaneously transmit data without interference. However, in cases involving multiple IN groups, transmission between IN groups shoul...
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Published in: | IEEE communications letters 2016-03, Vol.20 (3), p.526-529 |
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creator | Noh, Wonjong Lim, Jong-Bu Shin, Wonjae Lim, Sung Hoon Kim, Tae-suk Lee, Tae-Dong Han, Kwanghun |
description | In wireless multihop networks, interference neutralization (IN) is a promising approach for interference management. IN enables multiple source-destination pairs to simultaneously transmit data without interference. However, in cases involving multiple IN groups, transmission between IN groups should be carefully managed to achieve an IN gain; otherwise, IN counteracts the capacity gain and degrades the quality of the network. In this study, we propose a greedy maximal transmission control scheme, based on the Gaussian modeling for unknown interference and approximate achievable rate, that has polynomial-time complexity and provides near-optimal network throughput for multiple IN groups. |
doi_str_mv | 10.1109/LCOMM.2016.2514497 |
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subjects | Bandwidth Fading Group Transmission Control Interference Interference Neutralization Merging Multihop Networks Relays Signal to noise ratio Spread spectrum communication |
title | Adaptive Transmission Control in Multiple Interference Neutralization Groups |
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