Propagation Model : HybridBuildingPropagationlossModel Itu1411/Itu1238 ( depending on indoor / outdoor/ distance<1000) The path loss models are manually.

Slides:

Advertisements

Similar presentations

UAbove Law fahrul hakim2003 Wireless LAN implications Project managers and design engineer should be aware, the following potential problems from the implementation.

Advertisements

Localization with RSSI Method at Wireless Sensor Networks Osman Ceylan Electronics Engineering PhD Student, Istanbul Technical University, Turkiye

1 Uplink Resource Allocation in LTE-A Relay Enhanced Cellular Networks Master’s Thesis Seminar Presented by: Anzil Abdul Rasheed Master’s Program – Radio.

Submission doc.: IEEE /1214r1 September 2014 Leif Wilhelmsson, Ericsson ABSlide 1 Impact of correlated shadowing in ax system evaluations.

WLAN System Capacity Zahid Iqbal. WLAN Technologiess IEEE802.11a IEEE802.11b IEEE802.11g.

EE359 – Lecture 3 Outline Log Normal Shadowing

Doc.: IEEE /0116r1 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .

Propagation Characteristics

Interactions Between the Physical Layer and Upper Layers in Wireless Networks: The devil is in the details Fouad A. Tobagi Stanford University “Broadnets.

Group 896 GPRS Radio Resource Management Radio Channel Model Path Loss Slow Fading Fast Fading.

Summary of Path Loss in Propagation

1 OUTLINE Motivation Distributed Measurements Importance Sampling Results Conclusions.

Doc.: IEEE /0861r0 SubmissionSayantan Choudhury Impact of CCA adaptation on spatial reuse in dense residential scenario Date: Authors:

Doc.: IEEE /1420r1Nov 2014 Submission Po-Kai Huang (Intel) Slide 1 The Impact of Preamble Error on MAC System Performance Date: NameAffiliationsAddressPhone .

Doc.: IEEE /1187r1Sep 2014 Submission Po-Kai Huang (Intel) Slide 1 The Effect of Preamble Error Model on MAC Simulator Date: NameAffiliationsAddressPhone .

Doc.: IEEE /1227r3 SubmissionSlide 1 OFDMA Performance Analysis Date: Authors: Tianyu Wu etc. MediaTek Sept 2014 NameAffiliationsAddressPhone .

Doc.: IEEE /0359r2 Submission March 2015 Jaehyun, Dankook Univ./NEWRACOM Clarification of MIMO Box2 calibration Date: Authors: Slide.

ECE 5221 Personal Communication Systems

Doc.: IEEE /0116r0 SubmissionYakun Sun, et. Al.Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .

On the Optimal SINR in Random Access Networks with Spatial Re-Use Navid Ehsan and R. L. Cruz UCSD.

A Comparative Analysis of Spectrum Alternatives for WiMAX Networks with Deployment Scenarios Based on the U.S. 700 MHz Band June 2008 By MWG/AWG.

Range for GSM 900, 1800 and WCDMA By Espen Steine.

Munawwar M. Sohul Dr. Taeyoung Yang Dr. Jeffrey H. Reed a

Thomas Berenz, MPIfR Bonn1 RF fiber optics 4 th SKADS Workshop, Lisbon, 2-3 October 2008 RF fiber optics Analog RF transmission with mechanically stressed.

Submission doc.: IEEE 11-14/0627r0 May 2014 Josiam et.al., SamsungSlide 1 Outdoor Channel Models for System Level Simulations Date: Authors:

Submission doc.: IEEE /0416r1 Slide 1 Broadband Indoor TVWS Channel Measurement and Characterization at 670 MHz Date: Mar 2012 Ming-Tuo.

Doc.: IEEE /0486r1 Submission May 2013 Ron Porat, Broadcom HEW- Metrics, Targets, Simulation Scenarios Date: Authors: Slide 1.

Possible Indoor Channel Models for HEW System Simulations

On Placement and Dynamic Power Control Of Femto Cells in LTE HetNets

Project: IEEE P Working Group for Wireless Personal Area Networks(WPANs) Submission Title: Link Budget for m Date Submitted: 5 March 2012.

Optimal Placement of Femto Base Stations in Enterprise Femtocell Networks Adviser: Frank, Yeong - Sung Lin Present by Li Wen Fang.

A Distributed Relay-Assignment Algorithm for Cooperative Communications in Wireless Networks ICC 2006 Ahmed K. Sadek, Zhu Han, and K. J. Ray Liu Department.

Cognitive Radio for Dynamic Spectrum Allocation Systems Xiaohua (Edward) Li and Juite Hwu Department of Electrical and Computer Engineering State University.

[Qualcomm, Ericsson, Nokia Networks, Huawei,…]

Doc.: IEEE r0 Amin Jafarian, Newracom 1 CCA Revisit May 2015 NameAffiliationsAddressPhone Amin

[Qualcomm, Ericsson, Nokia Networks, Huawei,…]

1 Introduction to Fading Channels, part 1 Dr. Essam Sourour Alexandria University, Faculty of Engineering, Dept. Of Electrical Engineering.

Doc.: IEEE /1110r0 Amin Jafarian, Newracom 1 September 2015 BSS-TXOP NameAffiliationsAddressPhone Amin

Doc.: IEEE /0799r2 Submission June 2014 Nihar Jindal, Broadcom Modifications to Simulation Scenarios and Calibration Process Date:

Doc.: IEEE / ax Submission Eduard Garcia-Villegas Drivers of the dynamic CCA adaptation Authors: Nov Date:

Doc.: IEEE /0307r0 Submission January 2014 Nihar Jindal, Broadcom PHY Calibration Results Date: Authors: Slide 1.

Submission doc.: IEEE /0092r0 Chen Sun, Sony ChinaSlide 1 Adjustment of energy detection threshold over IP-network Date: Authors: November.

Doc.: IEEE / ax Submission M. Shahwaiz Afaqui DSC calibration results with NS-3 Authors: Nov

Submission doc.: IEEE /1214r0 September 2014 Leif Wilhelmsson, Ericsson ABSlide 1 Impact of correlated shadowing in ax system evaluations.

SEAMCAT’s propagation model plugin Karl Koch, BNetzA, CEPT SEAMCAT Workshop Copenhagen,

WF on dynamic blockage Qualcomm, Intel, Samsung, Ericsson R GPP TSG RAN1 #85 Nanjing, China, May , 2016 Agenda Item:

August, 2012 MBANS FCC Rules Summary Information document for SRD/MG on the FCC adopted MBAN rules under part 95 MedRadio service on 24 May 2012.

IBTUF VIII – AUSTIN, TX Distributed Antenna Systems for Large Venues

Extensions, System Outline and Correlation Modes and

A Problem in LTE Communication

LRTC 3.4 – 3.8 GHz Ericsson input PT1 XO 29 – 31/

EE359 – Lecture 3 Outline Announcements Log Normal Shadowing

Report on Channel Model

WF on scenarios and evaluation assumptions for flexible duplex

Evaluation Model for LTE-Advanced

IBTUF VIII – AUSTIN, TX Distributed Antenna Systems for Large Venues

Practical Radio Propagation Models

5G Micro Cell Deployment in Coexistence with Fixed Service

Guomei Zhang, Man Chu, Jie Li Personal Ubiquitous Computing 2016

OFDMA Performance Analysis

Jan Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Proposal for sub-GHz Interference Model] Date.

Royal Institute of Technology Dept. of Signals, Sensors and Systems

Royal Institute of Technology Dept. of Signals, Sensors and Systems

OFDMA Performance Analysis

Submission Title: Link Budget for m

Link Budget Analysis Date: Authors: November 2015

TX Mask Shoulders vis-à-vis ACI

OFDMA Performance Analysis

Further discussion on Hybrid Multiple Access for

Presentation transcript:

Propagation Model : HybridBuildingPropagationlossModel Itu1411/Itu1238 ( depending on indoor / outdoor/ distance<1000) The path loss models are manually verified and produce correct results The point to mention is that the result of Sinr that determines the MCS/CQI (either using Piro/MIerrorModel) show be same as that is produced by REM plots, where as it differs All the parameters are kept DEFAULT with a clean NS install Only the following changes are made to see clear results -Position Allocation is changed to constant position instead of random -Only kept one Txnode and one UE to avoid the effect of interference -Increase the attribute of REMhelper, -> resolution x/y to grab the exact values at desired coordinates

Case 1: HomeEnb (0,0) – UE (30,0) HomeNode- Tx Power 17dBm EPC: REM Maps: Sinr : dB MCS: 28 Sinr : 12.05dB (10log(16.05))

Case 2: HomeEnb (0,0) – UE (100,0) EPC: REM Maps: Sinr : dB MCS: 24 Sinr : dB (10Log(0.104))

Case 3: Enb (0,0) – UE (500,0) Case 4: Enb (0,0) – UE (2000,0) Manual calculations for another case has been attached as PDF, The case is for 30m user-Txnode distance. The user & HomeEnodeB are in the same appt & same room. The path loss & shadowing is verified (ITU-1238), where as the problem seems to be at the calculation of RXPSD. I can provide further details if required.