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Performance Analysis of IEEE 802.11ad MAC Protocol
IEEE 802.11ad specifies a hybrid medium access control (MAC) protocol co...
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The challenges of Scheduling and Resource Allocation in IEEE 802.11ad/ay
The IEEE 802.11ad WiFi amendment enables short-range multi-gigabit commu...
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Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
Covert communication prevents legitimate transmission from being detecte...
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The Effect of Multiple Access Categories on the MAC Layer Performance of IEEE 802.11p
The enhanced distributed channel access (EDCA) mechanism enables IEEE 80...
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An Analytical Model for Wireless Mesh Networks with Collision-Free TDMA and Finite Queues
Wireless mesh networks are a promising technology for connecting sensors...
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Adaptive Beamwidth Selection for Contention Based Access Periods in Millimeter Wave WLANs
60GHz wireless local area networks (WLANs) standards (e.g., IEEE 802.11a...
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Exploiting Scheduled Access Features of mmWave WLANs for Periodic Traffic Sources
Multimedia applications, like video streaming, teleconference, tele-cont...
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An Analytical Model for CBAP Allocations in IEEE 802.11ad
The IEEE 802.11ad standard extends WiFi operation to the millimeter wave frequencies, and introduces novel features concerning both the physical (PHY) and Medium Access Control (MAC) layers. However, while there are extensive research efforts to develop mechanisms for establishing and maintaining directional links for mmWave communications, fewer works deal with transmission scheduling and the hybrid MAC introduced by the standard. The hybrid MAC layer provides for two different kinds of resource allocations: Contention Based Access Periods (CBAPs) and contention free Service Periods (SPs). In this paper, we propose a Markov Chain model to represent CBAPs, which takes into account operation interruptions due to scheduled SPs and the deafness and hidden node problems that directional communication exacerbates. We also propose a mathematical analysis to assess interference among stations. We derive analytical expressions to assess the impact of various transmission parameters and of the Data Transmission Interval configuration on some key performance metrics such as throughput, delay and packet dropping rate. This information may be used to efficiently design a transmission scheduler that allocates contention-based and contention-free periods based on the application requirements.
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