Ten lectures on wavelets
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Energy-efficient PCF operation of IEEE 802.11a WLANs via transmit power control
Computer Networks: The International Journal of Computer and Telecommunications Networking - Small and home networks
Self-management in chaotic wireless deployments
Proceedings of the 11th annual international conference on Mobile computing and networking
Using smart triggers for improved user performance in 802.11 wireless networks
Proceedings of the 4th international conference on Mobile systems, applications and services
Singular spectrum analysis of traffic workload in a large-scale wireless lan
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
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The user centric nature of mobile devices is an important issue for enhancing the user experience in a mobile wireless communication. A strategy for improving such experience consists of applying a resource management focused in providing both the user and the application valuable information about the network context. The communication quality in wireless systems heavily depends on several factors, and adjusting the application and/or alerting the user about the network conditions is an important service when managing this type of devices. The quality perceived by the user depends on the network context, which can be defined as the events that have significant impact on the wireless communication. The identification of the wireless channel behavior is necessary for obtaining a context description. Due to intrinsic features at the wireless signal propagation it is difficult to measure and assess the fundamental wireless network context, e.g., predicting when low quality signal is being caused by interference or fading effects. This work presents a new method for user centric management on IEEE 802.11b/g: a strategy for communication survival, focused in improving the user experience. Our proposal uses a multi-scale control chart approach, MCEWMA --- Moving Centerline Exponential Weighted Moving Average, associated with multi-resolution analysis using a wavelet transform.