Adaptive Transmission Control in Multiple Interference Neutralization Groups

Abstract

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.