Essays about: "mobile network simulation"
Showing result 1 - 5 of 123 essays containing the words mobile network simulation.
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1. Velocity Control of a Mobile Charger in a Wireless Rechargeable Sensor Network
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Wireless sensor networks (WSN) are one of the most rapidly evolving technical areas right now. They can be used in a lot of different applications, environmental monitoring and health applications being two examples. The sensors can be placed in hazardous and remote environments since there is no need for cabling or manual maintenance. READ MORE
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2. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE
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3. Simulation and Testing of a MU-MIMO Beamforming System
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. READ MORE
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4. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. READ MORE
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5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE