Distributed Dynamic Channel Allocation in 6G in-X Subnetworks for Industrial Automation

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In this paper, we investigate dynamic channel selection in short-range Wireless Isochronous Real Time (WIRT) in-X subnetworks aimed at supporting fast closed-loop control with super-short communication cycle (below 0.1 ms) and extreme reliability (>99.999999%). We consider fully distributed approaches in which each subnetwork selects a channel group for transmission in order to guarantee the requirements based solely on its local sensing measurements without the possibility for exchange of information between subnetworks. We present three fully distributed schemes: ϵ-greedy channel allocation, minimum SINR guarantee (minSINR) and Nearest Neighbor Conflict Avoidance (NNCA) based on measurements of the minimum SINR and interference power. We further apply a centralized graph coloring scheme as a baseline for evaluating performance of the proposed distributed algorithms. Performance evaluation considering subnetwork mobility and spatio-temporal correlated channel models shows that the dynamic allocation schemes results in significant performance improvement and a reduction in the bandwidth required for supporting such extreme connectivity by up to a factor larger than 2 relative to static channel assignment.
TitelIEEE Globecom Workshop on Future Industrial IoT
StatusAccepteret/In press - 2020

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