Essays about: "Mobile traffic prediction."
Showing result 1 - 5 of 11 essays containing the words Mobile traffic prediction..
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1. ML-Aided Cross-Band Channel Prediction in MIMO Systems
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Wireless communications technologies have experienced an exponential development during the last decades. 5G is a prominent exponent whose one of its crucial component is the Massive MIMO technology. READ MORE
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2. A Deep Learning Approach to Downlink User Throughput Prediction in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A majority of the global population subscribe to mobile networks, also knownas cellular networks. Thus, optimizing mobile traffic would bring benefits tomany people. The available downlink user throughput in cellular networks issubject to heavy fluctuations, which leads to inefficient use of network capacity. READ MORE
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3. Multiple Time Series Forecasting of Cellular Network Traffic
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The mobile traffic in cellular networks is increasing in a steady rate as we go intoa future where we are connected to the internet practically all the time in one wayor another. To map the mobile traffic and the volume pressure on the base stationduring different time periods, it is useful to have the ability to predict the trafficvolumes within cellular networks. READ MORE
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4. Customer Churn Predictive Heuristics from Operator and Users' Perspective
University essay from Blekinge Tekniska Högskola/Institutionen för kommunikationssystemAbstract : Telecommunication organizations are confronting in expanding client administration weight as they launch various user-desired services. Conveying poor client encounters puts client connections and incomes at danger. One of the metrics used by telecommunications companies to determine their relationship with customers is “Churn”. READ MORE
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5. Implementing Linear Predictive Coding based on a statistical model for LTE fronthaul
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This thesis studies the application of Linear Predictive coding (LPC) in the downlink of Long Term Evolution (LTE) fronthaul, which comprises of BBU and RRH. This can act as an additional module in the existing system. Today, the transmission of a single complex sample from the BBU to the RRH consumes 30 bits. READ MORE