IMM Estimator-Based Interference Prediction for Power Control in Broadband Wireless Packet Networks(Wireless Communication Technologies)

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概要

• 論文の詳細を見る

• An interference prediction scheme is proposed for power control in packet-switched TDMA wireless networks. The prediction scheme is based on the interacting multiple model (IMM) estimator, and it is effective to a wide range of nonstationary dynamic characteristics of the interference power. Numerical experiments show that, compared with a scheme based on a Kalman filter, the IMM estimator-based scheme predicts the interference power more accurately and allows us to adjust the transmit power more efficiently in achieving a desired level of signal-to-interference-plus-noise ratio (SINR).

• 社団法人電子情報通信学会の論文
• 2007-03-01

著者

• HONG Sun-Mog

  School of EECS, Kyungpook National University

• Jung Young-hun

  Agency For Defense Development

• Hong Sun-mog

  School Of Eecs Kyungpook National University

関連論文

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• Approximations for Detection Probability and Measurement Accuracy Taking into Account Antenna Beam-Pointing Losses(Sensing)
• IMM Estimator-Based Interference Prediction for Power Control in Broadband Wireless Packet Networks(Wireless Communication Technologies)
• Power and Spreading Gain Allocation in CDMA Data Networks for Prioritized Services(Wireless Communication Technology)
• SB-9-6 IMM-Based Interference Prediction for Power Control in Broadband Wireless Packet Networks(SB-9. Broadband wireless access techniques for the next generation wireless communications)

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