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http://dx.doi.org/10.6109/jkiice.2016.20.9.1704

Backhaul traffic reduction scheme in intra-aircraft wireless networks  

Cho, Moon-Je (Department of Information and Communication Engineering, Gyeongsang National University)
Jung, Bang Chul (Department of Electronics Engineering, Chungnam National University)
Park, Pangun (Department of Radio and Information Communications Engineering, Chungnam National University)
Chang, Woohyuk (Agency for Defense Development)
Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
Abstract
In this paper, we propose efficient uplink data transmission method in ultra dense wireless networks as in intra-aircraft, where large-scale APs and wireless sensors are deployed. In the ultra dense wireless networks, a performance degradation is inevitable due to the inter-AP interference. However, the performance degradation can be avoided if a scheduling algorithm can estimate the amount of interference caused by each wireless sensor and reflects it. SGIR (Signal-to-Generating Interference Ratio) based scheduling algorithms is a typical example. Unfortunately, the scheduling algorithms based on the interference caused by wireless sensors necessarily yield large scale exchange of information through backhaul which connects APs. Therefore, we, in this paper, propose a novel scheme which can dramatically reduce the amount of information which are exchanged through backhaul connection. Monte-Carlo simulation results show that the proposed scheme can reduce the amount of backhaul traffic by 27% without loss of data transmission rate.
Keywords
Intra-aircraft wireless networks; backhaul traffic reduction; SGIR; scheduling;
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