Essays about: "Base station BS"
Showing result 1 - 5 of 27 essays containing the words Base station BS.
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1. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. READ MORE
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2. 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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3. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. READ MORE
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4. Efficient High-level Synthesis Implementation of massive MIMO Processing on RFSoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Massive multiple-input multiple-output (MIMO) refers to a wireless access technology that equips base station (BS) with hundreds to thousands of antennas to serve tens of user equipment (UE) in the same time-frequency resource. These extensive antennas improve spectral and energy efficiency, but the detection algorithms tend to be more complex with operations, multiplications, and inversions on larger size matrix. READ MORE
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5. Reinforcement Learning-based Handover in Millimeter-wave Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Millimeter Wave (mmWave) is a key technology to meet the challenge of data rates and the lack of bandwidth in sub-6GHz networks. Due to a high operation frequency, the mmWave network has unique channel characteristics and a relatively high pathloss. READ MORE