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CNN-based blind SIR classification framework for STPA-BAA spectrum superposing
Hiroaki Kobayashi,Shun Kojima,Kazuki Maruta,Takatoshi Sugiyama,Chang-Jun Ahn 한국통신학회 2023 ICT Express Vol.9 No.1
Spectrum sharing in the spatial domain among the plurality of wireless communication systems should be addressed due to its exhaustion. We previously conceptualized a spectrum superposing enabled by subcarrier transmission power assignment (STPA) and blind adaptive array (BAA), where co-channel interference can be suppressed even without a priori information of interferer. However, it requires knowledge of input signal-to-interference power ratio (SIR) to realize completely blind operation. This paper proposes a blind SIR estimation framework by convolutional neural network (CNN) using power spectrum images. Simulation verifies the proposed scheme can maximize throughput performance based on SIR classification results with 97% accuracy.
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Performance Analysis of a Two-hop Wireless Relay Network with CSMA / CA and Network Coding
Chun-Hsiang Huang,Daisuke Umehara,Satoshi Denno,Masahiro Morikura,Takatoshi Sugiyama 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In this paper, we provide an analytical model to compute the approximate throughput of a two-hop wireless relay network in which stations employ carrier sense multiple access with collision avoidance (CSMA/CA) protocol and network coding on the MAC layer. In addition, this model can be applied to the conventional CSMA/CA wireless relay network without network coding. Network coding is a highly regarded technology that is able to enhance the system capacity of multiple unicast and multisource multicast networks. Based on the assumption of no hidden terminals, we show that the proposed analytical model works well with the parameters of IEEE 802.11a and the difference in throughput between theoretical analysis and computer simulation is at most 2 percent.
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