A dimension reduction and approximate modeling method for wireless channel

作者：Fang Shuguang^*; Dong Yuning; Zhang Hui; Wang Zaijian

来源：International Journal of Advancements in Computing Technology, 2012, 4(22): 738-745.

DOI：10.4156/ijact.vol4.issue22.86

• Adaptive modulation and coding
• AMC
• Approximate modeling
• Burstiness
• Computation complexity
• Critical technologies
• Dimension reduction
• Markov model
• Numerical example
• QoS (quality of service)
• Queuing analysis
• Service process
• Traffic flow
• Wireless channel
• Wireless channel model
• Wireless communication system

Queuing analysis based on measuring or estimating Markov models for traffic flow and wireless channel is one of critical technologies for QoS(quality of service) analysis in wireless networks. However, the complexity of wireless channel models in modern wireless communication systems makes queuing analysis be of high computation complexity. In this paper, we analyze the burstiness character of wireless channel service process and its description, a dimension reduction and approximate modeling method for wireless channel based on equivalent burstiness is proposed. Numerical examples for adaptive modulation and coding wireless channel (AMC) are given to show the effectiveness of the proposed model.

• 出版日期2012
• 单位南京邮电大学