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This paper proposes a particle filter framework to perform an online estimation of the unsaturated buffers of the stations in the IEEE 802.11 distributed coordination function (DCF) network. Using this framework, an access point can adapt flow control to its serving stations and configure related parameters dynamically, thus improving the system throughput and reducing the packet latency. Current...
This paper will design a resource allocation algorithm, mainly on downlink transmission by Base Station (BS) to User Equipments (UEs) implemented using directional antenna. The resource allocation is accomplished by Pair-Wisely Bottom-Up (PWBU) approach, targeting a time-efficient allocation based on SINR feedbacks. We utilize adaptive smart antennas capable of simultaneous transmission toward different...
We propose a Particle Filter framework to perform online estimation for an unsaturated buffer of the stations in the Machine to Machine (M2M) WiFi network. The dynamical variation of the traffic affects the performance severely in the M2M WiFi network. The exist researches for analyzing the unsaturated condition in the network is based on the steady-state model, whereas this proposed method is devoted...
Due to people's eagerness for interactions with others, online social network has been one of the most popular Internet services in the world. However, the most frustrating element is the overwhelming information users facing while using these applications on social networks. In this work, we investigate the effect of overloaded information on users' behaviors in terms of the network formation of...
Adaptive modulation and coding (AMC) is attracting research interest in wireless multicast broadcast services (MBS). AMC increases the system throughput by utilizing possible good channel states instead of using robust modulation and coding schemes. A model for the AMC in an MBS system with multiple MBS groups is provided, and stochastic analysis using Markov chain is also applied for modeling analysis...
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