====== Cluster Literatures ====== ===== Parameters ===== ==== AGGREGATION POINT PREDICTION MATCHING FOR COHERENT LAYER THREE SIGNALING AND FAST IP MOBILITY TRIGGERING ==== The L3 parameter is preferentially selected from a group of L3 parameters con sisting of a** per packet latency indication, a latency jitter indication, a packet loss indication and a quality of services protocol specific variable**. Access network send prediction to a network control server The mobile handoff prediction and the network handoff prediction are preferentially created using at least one L2 parameter. The L2 parameter may be selected from a group of **L2 parameters consisting of a pilot signal-to-noise ratio or signal-to-interference measurement, a frame error rate mea surement, an active set, a candidate set and a neighborhood set**. The mobile handoff prediction and the netWork handoff prediction may also be created using received pilot signal strengths betWeen the mobile node and a respective access netWork. ==== Enhancing Mobile Data Offloading with Mobility Prediction and Prefetching ==== Data object size, Mobile throughput, WiFi throughput, Backhaul throughput, Time error, Throughput error ==== Predictive Mobility Support for QoS Provisioning in Mobile Wireless Environments ==== ==== ***Behavior-Based Mobility Prediction for Seamless Handoffs in Mobile Wireless Networks ==== Behavior-based Mobility Prediction (BMP) technique that provides accu­ rate mobility prediction by considering multifaceted user behavior based the following four factors: location, group, time-of-day, and duration. ==== BreadCrumbs: Forecasting Mobile Connectivity ==== Data base of uplink, downlink, latency associated with APs locations. Markov model for mobility prediction based on history. ==== Mobility prediction in mobile wireless networks ==== In this paper, an adaptive learning automata-based mobility prediction method is proposed in which the prediction is made based on the Gauss–Markov random process, and exploiting the correlation of the mobility parameters over time. ===== How to get the parameters ===== Find references how to collect the parameter in concretes. * http://www.sharetechnote.com/html/Handbook_LTE_MultiCell_Measurement_LTE.html * http://www.rfwireless-world.com/Terminology/LTE-UE-Event-Measurement-Reporting.html * https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2007100230&recNum=1&maxRec=&office=&prevFilter=&sortOption=&queryString=&tab=PCTDescription * https://www.google.com.ar/patents/WO2007100230A1?cl=en * http://www.google.com/patents/US20150043560 * http://www.google.com/patents/US20110256861