Advanced search

Found 5 essays matching the above criteria.

1. 1. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Chayan Shrang Raj; [2023]
   Keywords : Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

   Abstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE

3. 2. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Nic Ekman; Ilias Theodoros Skordas; [2022]
   Keywords : 5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

   Abstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE

4. 3. PERFORMANCE EVALUATION OF VIDEO QUALITY ASSESSMENT METHODS BASED ON FRAME FREEZING

   University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

   Author : Muhammad Arslan; Usman ; [2014]
   Keywords : Absolute Category Rating; Frame Freezing; Mean Opinion Score; No Reference Method NR ; Subjective Testing; Temporal Information.;

   Abstract : A Digital Video Communication System consists of a video encoder, a channel through which the video is transmitted and finally a video decoder. These three phases can cause different kinds of impairments or degradations in the quality of a video. READ MORE

5. 4. Video Quality Evaluation using NR metric with Detection of Frame Dips and Drops

   University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

   Author : Vydik Mopidevi; [2013]
   Keywords : SSIM; MOS; DROPS; DIPS; MFDF; CIF; QCIF; NR METRIC;

   Abstract : Wireless technology has become the most interesting field in the area of communications and networking. Video transmission plays a major role in this area. Data transmission via wireless communications is a major task, especially to send the data without loss of packets. READ MORE

6. 5. Low Complex Blind Video Quality Predictor based on Support Vector Machines

   University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

   Author : Amitesh Kumar Singam and Venkat Raj Reddy Pashike; [2012]
   Keywords : VQM; VQE; SVM; PCA; PSNR; SSIM; MOS and PEVQ.;

   Abstract : Objective Video Quality Assessment plays a vital role in visual processing systems and especially in the mobile communication field, some of the video applications boosted the interest of robust methods for quality assessment. Out of all existing methods for Video Quality Analysis, No-Reference (NR) Video Quality Assessment is the one which is most needed in situations where the handiness of reference video is not available. READ MORE