The four basic Radio Resource Management (RRM) measurements in Long Term Evolution (LTE) system are Channel Quality Indicator (CQI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Carrier Received Signal Strength Indicator (RSSI). A measurement of channel quality represented by Signal to Interference plus Noise Ratio (SINR) is used for link adaptation along with packet scheduling, whereas RSRP and RSRQ are needed for making handover decision during intra-eUTRAN (evolved Universal Terrestrial
Indoor positioning and location estimation inside the buildings is still challenging in Internet of Things (IoT) platform, however GPS signals could successfully solve the outdoor localization problem. A recently introduced RSS-based device, named iBeacon paves the way to estimate the users location inside the buildings. Due to the complexity of indoor RF environments, the positioning accuracy is affected by the placement of the iBeacons. Inadvertently the concept of iBeacon placement for improving the accuracy remains unattended by the current research. This paper provides a comprehensive analysis and experiments on the importance of iBeacon placement, and factors impacting the beacon signal quality. Moreover, we propose a novel beacon placement strategy, Crystal-shape iBeacon Placement (CiP). As another contribution, a customized application for android is developed which is used for recording and analyzing the iBeacon signals. Our proposed placement strategy could achieve 21.7% higher precision than the existing normal iBeacon placement.
The LTE/LTE-
KEYWORDS
Round robin (RR), Proportional fair (PF), Maximum throughput scheduler (MT), Throughput to average scheduler (TTA), Blind equal throughput scheduler (BET), Token bank fair queue scheduler (TBFQ), Priority set scheduler (PS).
LTE is an emerging wireless communication technology to provide high-speed data service for the mobile phones and data terminals. To improve indoor coverage and capacity Femtocells are included in 3GPP since Release 8. There is no common simulation platform is available for performance justification of LTEFemtocells. LTE-Sim is an object-oriented open source simulator which incorporates a complete protocol stack can be used for simulating two-tier macro-femto scenarios. To the best of our knowledge no paper provides the guideline to perform system level simulation of Femtocell networks. Here, in this paper Femtocells performance is evaluated in multi-Macrocells and multi-Femtocells environment with interference from Microcells and Macrocell users along with the scripting.
Performance comparison of various Packet Scheduling (PS) algorithms such as Proportional Fair (PF), Maximum Largest Weighted Delay First (MLWDF) and Exponential/Proportional Fair (EXP/PF) has been studied in HetNets environment. The performance indicators such as throughput, Packet Loss Ratio (PLR), delay and fairness are considered to judge the performance of the scheduling algorithms. Various strategies such as increasing the number of pico cells in the cell edge were used in the simulation for the performance evaluation study. The results achieved by various simulations show that adding the pico cells to the existing macros enhances the overall system performance in addition to various scheduling algorithms implemented in macros. Simulation results show that the overall system gain has increased by adding picos, provide better coverage in the cell edge and increase the capacity of the network to provide better Quality of Service (QoS). Furthermore, simulations show that MLWDF performs better for video traffic than compared to other with PS algorithms.
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