Upload
jewel
View
30
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Understanding the Limitations of Transmit Power Control for Indoor WLANs. Vivek Vishal Shrivastava Dheeraj Agrawal Arunesh Mishra Suman Banerjee Tamer Nadeem (Siemens Research) Department Of Computer Sciences University of Wisconsin-Madison. Low Power. - PowerPoint PPT Presentation
Citation preview
Oct 26, 2007
IMC 2007
Understanding the Limitations of Transmit
Power Control for Indoor WLANs
Vivek Vishal Shrivastava Dheeraj Agrawal
Arunesh Mishra Suman Banerjee
Tamer Nadeem (Siemens Research)
Department Of Computer SciencesDepartment Of Computer Sciences
University of Wisconsin-MadisonUniversity of Wisconsin-Madison
Oct 26, 2007
IMC 2007
Energy Efficiency
Spectral Efficiency
Transmission Power Control
High Power Low Power
Oct 26, 2007
IMC 2007
Received Signal Strength
The signal strength measured at the receiver
Transmitted at Power Pt
Received at Power Pr
RSS is a good indicator of “bit error rates” and “delivery probabilities” (Reis et al
Sigcomm 2006)
Oct 26, 2007
IMC 2007
Transmission Power Control A wide variety of power control algorithms have
been proposed in literature
Few have made it to practice
This gap has been attributed to lack of sophisticated hardware
Absence of fine grained power levels in current state of the art wireless cards
Oct 26, 2007
IMC 2007
Transmission Power Control A wide variety of power control algorithms have
been proposed in literature
Few have made it to practice
This gap has been attributed to lack of sophisticated hardware
Absence of fine grained power levels in current state of the art wireless cards
Our claim: Even if fine-grained power control wasavailable in wireless cards, no algorithm will be ableto take advantage of it in any practical setting due to significant RSS variations
Oct 26, 2007
IMC 2007
The Essence
Q. What granularity of power control is practically usable and how do we determine these discrete power levels ?
Oct 26, 2007
IMC 2007
The Essence
Q. What granularity of power control is practically usable and how do we determine these discrete power levels ?
A1. In practical settings, significant overlap between RSS for different power levels makes fine grained power control infeasible
Oct 26, 2007
IMC 2007
The Essence
Q. What granularity of power control is practically usable and how do we determine these discrete power levels ?
A1. In practical settings, significant overlap between RSS for different power levels makes fine grained power control infeasible
A2. Few carefully chosen, environment dependent, discrete power levels are practically usable
Oct 26, 2007
IMC 2007
In this talk, we substantiate these claims and build an empirical power control model on the basis of these guidelines
Oct 26, 2007
IMC 2007
Dimensions of Power Control
Oct 26, 2007
IMC 2007
PCMA [Infocom ‘01]
Other approaches: SHUSH[WICON ‘05], IPMA[SCC 2003]
• An interesting work that proposed use of power control for throughput enhancement
• Designed power controlled medium access
• Receiver finds optimum power and sends a feedback to the transmitter
• Use of out-of-band busy tones to silence neighbors
Some Existing Power Control Approaches
Oct 26, 2007
IMC 2007
PCMA [Infocom ‘01]
Other approaches: SHUSH[WICON ‘05], IPMA[SCC 2003]
• One of the first works to use power control for throughput enhancement
• Designed power controlled medium access
• Receiver finds optimum power and sends a feedback to the transmitter
• Use of out-of-band busy tones to silence neighbors
Some Existing Power Control Approaches
Works well with fine grained power control
What happens if RSS variations are present?
Oct 26, 2007
IMC 2007
Limitations
Use of fine grained power levels works well in the absence of RSS variations
Oct 26, 2007
IMC 2007
Limitations
Use of fine grained power levels works well in the absence of RSS variations
However, RSS variations are significant in typical wireless
scenarios
Oct 26, 2007
IMC 2007
Multipath, fading, shadowing
External Interference
RSS Variations
Outdoor Environments
Indoor Environments
Oct 26, 2007
IMC 2007
Indoor Environments (Multi-path Dominates)
Oct 26, 2007
IMC 2007
RSS Variations (Outdoor)
overlap
20% packets are received at RSS of 22dBm
Oct 26, 2007
IMC 2007
RSS Variations (Indoors)
40,50,60 mw have significant overlap
Oct 26, 2007
IMC 2007
RSS Variations
Outdoors Indoors
Oct 26, 2007
IMC 2007
• Receiver cannot distinguish two transmit power levels with significant overlap
• Only transmit power levels with minimum overlap be used together
• Needs some number of packets (>1) to characterize RSS distribution
Implications of RSS variations
Oct 26, 2007
IMC 2007
The Essence - Part I
Q. What granularity of power control is practically usable and how do we determine these discrete power levels ?
A1. In practical settings, significant overlap between RSS for different power levels makes fine grained power control infeasible
Oct 26, 2007
IMC 2007
Experimental Testbed
NLOS
LOS
Oct 26, 2007
IMC 2007
Line of Sight (no interference)
Non Line of Sight (no interference)
RSS variations are environment dependent
LOS Heavy
NLOS Heavy
LOS light
NLOS Light
Non Line of Sight (with interference)
Line of Sight (with interference)
Oct 26, 2007
IMC 2007
Practical Transmit Power Control
Sample sufficient number of packets at each power level
Oct 26, 2007
IMC 2007
Practical Transmit Power Control
Sample sufficient number of packets at each power level
Characterize RSS distribution
Oct 26, 2007
IMC 2007
Practical Transmit Power Control
Sample sufficient number of packets at each power level
Characterize RSS distribution
Operate on power levels with non-overlapping RSS distributions
Oct 26, 2007
IMC 2007
Characterizing RSS distribution
What is the minimum sample size to accurately capture RSS distribution?
Oct 26, 2007
IMC 2007
Characterizing RSS distribution
What is the minimum sample size to accurately capture RSS distribution?
– RSS variations are typical of a particular indoor environment
– Different number of packets may be required to accurately capture RSS distribution
– Brute Force : Capture very large number of packets for determining RSS distribution
Oct 26, 2007
IMC 2007
Characterizing RSS distribution
What is the minimum sample size to accurately capture RSS distribution?
– RSS variations are typical of a particular indoor environment
– Different number of packets may be required to accurately capture RSS distribution
– Brute Force : Capture very large number of packets for determining RSS distributionCan we do better ?
Oct 26, 2007
IMC 2007
Online MechanismNormalized Kullback-Leibler Divergence (NKLD)
Quantifies the distance or relative entropy between two distributions
Operating point
LOS light
NLOS light
NLOS heavy
LOS heavy
Oct 26, 2007
IMC 2007
Online Mechanism
Calculate distribution of RSS for n, n + δ
Compute divergence using statistical tools like NKLD
Sample n + δ packets
If divergence < thresholdreturn the distribution
Oct 26, 2007
IMC 2007
Evaluation accuracy of RSS distributions obtained with Online Mechanism
LOS Light
LOS Heavy
NLOS Light
NLOS Heavy
Oct 26, 2007
IMC 2007
Online Mechanism Sample sufficient number of packets, to
capture RSS distribution with some accuracy
Profile different available power levels
Find the power levels with non overlapping RSS distribution
Repeat this procedure periodically to cope up with large scale variations in channel conditions
Oct 26, 2007
IMC 2007
Experimental Testbed
810
11
12
Oct 26, 2007
IMC 2007
The final outcome
Feasible Power Levels at four receivers in the testbed
3
2
1
3
Number of power levels
Oct 26, 2007
IMC 2007
The Essence – Part II
Q. What granularity of power control is practically usable and how do we determine these discrete power levels ?
A1. In practical settings, significant overlap between RSS for different power levels makes fine grained power control infeasible
A2. Few carefully chosen, environment dependent, discrete power levels are practically usable
Oct 26, 2007
IMC 2007
Sample Applications Joint power and data rate adaptation
converges much faster with Model-TPC
Oct 26, 2007
IMC 2007
End user performance (1)Goodput for end user in the power-data rate adaptation process
Oct 26, 2007
IMC 2007
End user performance (2)
Cumulative distribution of goodput achieved by end user for adaptation at Location T1 in the testbed
Oct 26, 2007
IMC 2007
Future Work Use our model as a module in
previously proposed Transmit Power Control mechanisms
Oct 26, 2007
IMC 2007
Future Work
Use our model as a module in previously proposed Transmit Power Control mechanisms
Study the interdependence between power and data rates, in view of few discrete power levels
Oct 26, 2007
IMC 2007
Future Work
Use our model as a module Transmit Power Control mechanisms
Build a practical transmit power control mechanism using the guidelines discussed here
Oct 26, 2007
IMC 2007
Questions ?