Quantification of Capture Effect in Near-Far Scenarios

Slides:



Advertisements
Similar presentations
Doc.: IEEE /0604r1 Submission May 2014 Slide 1 Modeling and Evaluating Variable Bit rate Video Steaming for ax Date: Authors:
Advertisements

Doc.: IEEE /133 Submission March 2001 G. Chesson, A. Singa - Atheros Slide 1 VDCF Simulations Greg Chesson, Aman Singla,
Layered Video over TCPW David Chanady, Nadeem Aboobaker, Jennifer Wong CS 215 Networking Fundementals Winter 2001 March 20, 2001.
A simulation-based comparative evaluation of transport protocols for SIP Authors: M.Lulling*, J.Vaughan Department of Computer science, University college.
1 689 Lecture 2 Review of Last Lecture Networking basics TCP/UDP review.
1 TCP Transport Control Protocol Reliable In-order delivery Flow control Responds to congestion “Nice” Protocol.
MAC Reliable Broadcast in Ad Hoc Networks Ken Tang, Mario Gerla University of California, Los Angeles (ktang,
Characteristics of QoS-Guaranteed TCP on Real Mobile Terminal in Wireless LAN Remi Ando † Tutomu Murase ‡ Masato Oguchi † † Ochanomizu University,Japan.
1/26 Module C - Part 2 DOMINO Detection Of greedy behavior in MAC layer of IEEE public NetwOrks Prof. JP Hubaux Mobile Networks
Doc.: IEEE /132r1 Submission March 2001 Greg Chesson et al, Atheros Slide 1 VDCF Presentation Greg Chesson, Wim Diepstraten,
Adaptive Power Control Algorithm for Ad Hoc Networks with Short and Long Term Packet Correlations Jun Zhang, Zuyuan Fang, and Brahim Bensaou Dept. of Computer.
On the Performance Characteristics of WLANs: Revisited S. Choi, K. Park and C.K. Kim Sigmetrics 2005 Banff, Canada Presenter - Bob Kinicki Presenter -
Cognitive Information Service Basic Principles and Implementation of A Cognitive Inter-Node Protocol Optimization Scheme Dzmitry Kliazovich Fabrizio Granelli.
Bluetooth and WLAN coexistence in dense deployment scenarios
IEEE e Performance Evaluation
OFDMA performance in 11ax
Supporting Authentication/Association for Large Number of Stations
Supporting Authentication/Association for Large Number of Stations
Performance Evaluation for 11ac
HCF and EDCF Simulations
Simulation Framework Progress Update - Nov. 2000
SCTP v/s TCP – A Comparison of Transport Protocols for Web Traffic
Submission Title: [QoS Support in Wireless BANs]
IEEE Quality of Service
TCP Parameters and Settings
TCP Parameters and Settings
EDCF TXOP Bursting Simulation Results
Packet Capture UDP Experiments
Home Network Simulation Scenario with OBSS
Simulation Results for QoS, pDCF, VDCF, Backoff/Retry
2840 Junction Ave. San Jose, CA 95134
Multipoll, FEC, Persistence, Portals
ns-2 simulation of TCP + CBR traffic
Self Organized Networks
Capability Discovery Mechanism
Application parameters definition for usage models
OFDMA performance in 11ax
Performance Simulations
FEC Capability and Control
VDCF Presentation Greg Chesson,
EDCF / EPCF Comparisons
Overlapping IEEE ah Networks of Different Types
Joint submission for Box 5 calibration
<month year> <doc.: IEEE doc> January 2013
Is the MAC sufficient for wireless high speed mesh LANs?
<month year> <doc.: IEEE doc> January 2013
Extension Channel CCA Proposed Solutions
Green Field Analysis Date: Authors: March 2006 Month Year
Leader based Multicast
2840 Junction Ave. San Jose, CA 95134
OFDMA performance in 11ax
5-GHz Unified Protocol (5-UP) Proposal OFDM Extensions for a
Performance Implications of DCF to ESS Mesh Networks
Performance Implications of DCF to ESS Mesh Networks
AP Coordination in EHT Date: Authors: Name Affiliations
Enhanced-DCF Wireless MAC Protocol: Some Simulation Results
Overlapping IEEE ah Networks of Different Types
Supporting Authentication/Association for Large Number of Stations
Box 5 Calibration Result
Month Year doc.: IEEE /0578r0 May 2016
Performance Implications of DCF to ESS Mesh Networks
Investigation of Voice Traffic in Wi-Fi Environment
Intel Validation of TGn Simulation Scenarios
FEC Capability and Control
Modeling and Evaluating Variable Bit rate Video Steaming for ax
Client Communication NIC is Really The physical hardware plus
System Level Simulator Evaluation with/without Capture Effect
AP Coordination in EHT Date: Authors: Name Affiliations
Evaluation of Protocol efficiency
DSC Calibration Result
Presentation transcript:

Quantification of Capture Effect in Near-Far Scenarios Month 1998 doc.: IEEE 802.11-98/xxx May 2001May 2001 Quantification of Capture Effect in Near-Far Scenarios Greg Chesson (greg@atheros.com) Aman Singla (aman@atheros.com) Atheros Communications, Inc A. Singla, Atheros Communications, Inc John Doe, His Company

Known problems OS resource mis-management Protocol Stack adaptation May 2001May 2001 Known problems OS resource mis-management one application can “capture” OS resources: buffers, ifq, … Protocol Stack adaptation TCP treats packet loss as congestion TCP adapts by reducing offered load (window size, slow-start) PHY rate adaptation NIC or adaptive device driver reduces PHY rate to compensate for packet loss Near-far effects near station may block/drown transmissions from far stations A. Singla, Atheros Communications, Inc

Objectives Reproduce near-far effect in simulation May 2001May 2001 Objectives Reproduce near-far effect in simulation Quantify and analyze the magnitude of near-far effect A. Singla, Atheros Communications, Inc

May 2001May 2001 Scenario 36Mb/s 802.11a PHY Near/Far station determined on basis of the relative strengths of the signals originating from the station as received at the AP All stations are visible to each other Collisions between a far station and a near station resolve in favor of the near station Simulation parameters adjusted to guarantee capture by near station(s) Near Stations AP 1500 byte TCP/UDP Streams Far Station A. Singla, Atheros Communications, Inc

UDP Results May 2001May 2001 A. Singla, Atheros Communications, Inc Near Stream Far Stream A. Singla, Atheros Communications, Inc

TCP Results May 2001May 2001 A. Singla, Atheros Communications, Inc Near Stream Far Stream A. Singla, Atheros Communications, Inc

May 2001May 2001 Conclusions Far station loses “constant” UDP bandwidth to near station(s) percentage increases with number of near stations Less degradation for TCP traffic data sink has a moderating effect less “loss” with increasing number of near stations Limited experimental scope no correlation with range/signal data limited number of experiments limited topology A. Singla, Atheros Communications, Inc