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 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.