AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Exploiting new radio (NR) and NR-unlicensed (NR-U) technologies within a multi-RAT heterogeneous network can leverage traffic congestion and enhance overall capacity. thus, an optimization problem is introduced and formulated to maximize users’ quality of service (QoS) satisfaction by maximizing data rates while satisf...
Wireless LANs are one of the fastest-growing wireless technologies. IEEE 802.11 is a standard for wireless LANs. This doesn't provide Quality of Service (QoS) for multimedia applications. IEEE 802.11e enhances the QoS in wireless LANs. It introduces the Access Categories (AC) by using Enhanced Distributed Channel Acces...
A priority-aware Q-learning-based uplink random access framework for non-orthogonal multiple access (NOMA)-based mMTC networks that incorporates service differentiation into the access process by introducing priority-aware resource reservation and a weighted reward design.
A multi-objective AP load balancing and handover scheme based on Software-Defined WiFi load balancing (SDW-LB) mechanism for the overlapping wireless coverage regions that can enhance the network throughput, reduce the packet loss, relieve the AP congestion, and improve the user experience in dense WiFi deployments is...
Voice over IP (VoIP) and video streaming are real-time network applications in which delay, jitter and packet loss are hard requirements that a conventional packet scheduling system will not meet in dynamic traffic scenarios. The available scheduling strategies mostly use a static priority which is not effective in rea...
Rate adaptation is a crucial mechanism in IEEE 802.11 networks and next-generation cellular systems. Since the time scale for rate adaptation is typically much shorter than that for user association and scheduling, we investigate a joint design of wireless user association and scheduling and rate adaptation across diff...
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