NSF NeTS Workshop

Non-Intrusive Wireless Networks for Opportunistic Spectrum Utilization

Non-Intrusive Wireless Networks for Opportunistic Spectrum Utilization

Univeristy Of California DavisPI: Zhi Ding (ECE) and Xin Liu (CS)

Subaward: I-Jeng Wang, APL, Johns Hopkins Univ

Univeristy Of California DavisPI: Zhi Ding (ECE) and Xin Liu (CS)

Subaward: I-Jeng Wang, APL, Johns Hopkins Univ

2006@UCLA

Research and Test of

Project Goals and ScopeProject Goals and Scope

Investigating opportunistic access networks that can provide secondary service and are spectrally-agile non-instrusive to primary or legacy networks low cost and broadly applicable

Collaborating with APL (JHU) to measure spectral activity of key target areas of the secondary network

Investigating opportunistic access networks that can provide secondary service and are spectrally-agile non-instrusive to primary or legacy networks low cost and broadly applicable

Collaborating with APL (JHU) to measure spectral activity of key target areas of the secondary network

ESCAPE: Embedded SpeCtrally Agile radio Protocol for

Evacuation

ESCAPE: Embedded SpeCtrally Agile radio Protocol for

Evacuation Problem:

One or more users in a group may detect the return of primaries To disseminate such information fast and reliably

Interference from primary transmission Interference from regular secondary transmission No simultaneous transmission and reception In-band signaling

ESCAPE: PHY: predefined evacuation message using a given spreading code MAC: transmit as soon as the warning message is received Routing: flooding Performance metrics

Evacuation time, success probability, peak and average interference during evacuation, false-alarm rate

Design parameters Spreading code length, power, number of repetition for a given objective

X. Liu, Z, Ding, Embedded SpeCtrally Agile radio Protocol for Evacuation, under submission.

Problem: One or more users in a group may detect the return of primaries To disseminate such information fast and reliably

Interference from primary transmission Interference from regular secondary transmission No simultaneous transmission and reception In-band signaling

ESCAPE: PHY: predefined evacuation message using a given spreading code MAC: transmit as soon as the warning message is received Routing: flooding Performance metrics

Evacuation time, success probability, peak and average interference during evacuation, false-alarm rate

Design parameters Spreading code length, power, number of repetition for a given objective

X. Liu, Z, Ding, Embedded SpeCtrally Agile radio Protocol for Evacuation, under submission.

Sensing-based Opportunistic Channel Access

Sensing-based Opportunistic Channel Access

To collaboratively detect whether a channel is idle and is a good opportunity

Is the channel “idle”? Three proposed algorithms to make sensing decision so that the

outage probability is below a certain threshold Observation: collaborative sensing is very helpful To do: more robust fading model and measurements with spatial

correlation Is the channel a good one; i.e., to finish a transmission?

An algorithm based on channel sensing statistics. X. Liu and S. Shankar, “Sensing-based opportunistic channel access”,

ACM MONET, vol. 11, no. 4, August, 2006.

To collaboratively detect whether a channel is idle and is a good opportunity

Is the channel “idle”? Three proposed algorithms to make sensing decision so that the

outage probability is below a certain threshold Observation: collaborative sensing is very helpful To do: more robust fading model and measurements with spatial

correlation Is the channel a good one; i.e., to finish a transmission?

An algorithm based on channel sensing statistics. X. Liu and S. Shankar, “Sensing-based opportunistic channel access”,

ACM MONET, vol. 11, no. 4, August, 2006.

Data Collection at JHU/APLData Collection at JHU/APL

Public safety band at Howard County, MD Two measurements suites, set at 5, 200, 600 meters apart Forward and reverse channels Objective: temporal and spatial correlation System setup:

The spectral data are sampled with 14 bits at 64 MS/s. The samples are collected in snapshots of 16384 each, covering

~20 MHz every 100 ms. This snapshot size allows for DFT bins of ~ 3.9 kHz, which is

enough resolution to discriminate between adjacent forward or reverse channels as their centers are never closer than 25 kHz.

Public safety band at Howard County, MD Two measurements suites, set at 5, 200, 600 meters apart Forward and reverse channels Objective: temporal and spatial correlation System setup:

The spectral data are sampled with 14 bits at 64 MS/s. The samples are collected in snapshots of 16384 each, covering

~20 MHz every 100 ms. This snapshot size allows for DFT bins of ~ 3.9 kHz, which is

enough resolution to discriminate between adjacent forward or reverse channels as their centers are never closer than 25 kHz.

5 meters apartfixed – site 1 mobile – site 1

5 meters apartfixed – site 1 mobile – site 1

10 dB thresholdfixed – site 1 mobile – site 1

10 dB thresholdfixed – site 1 mobile – site 1

Side-by-side – distance = 5 metersfixed - site 1 mobile - site 1

Side-by-side – distance = 5 metersfixed - site 1 mobile - site 1

Current and Future Research EmphasisCurrent and Future Research Emphasis

Integrative studies of physical layer, MAC layer, and network layer

Performance evaluation and model validation. Data collection, analysis, and public distribution Feasibility and capacity analysis of 2ndary

network interacting with both non-interactive and interactive primary systems Compatibility with CSMA-based primary users Quantification of capacity and interference tradeoff

Integrative studies of physical layer, MAC layer, and network layer

Performance evaluation and model validation. Data collection, analysis, and public distribution Feasibility and capacity analysis of 2ndary

network interacting with both non-interactive and interactive primary systems Compatibility with CSMA-based primary users Quantification of capacity and interference tradeoff

Links to other projectsLinks to other projects Xin Liu (University of California, Davis) CAREER: Smart-Radio-Technology-Enabled Opportunistic

Spectrum Utilization Dirk Grunwald, Doug Sicker, John Black (University of Colorado), NeTS-ProWIN: Topology And

Routing With Steerable Antennas Uf Turelli, Kevin Ryan (Stevens Institute of Tech), Milind M. Buddhikot, Scott Miller (Lucent Bell Lab),

Dynamic Intelligent Management of Spectrum for Ubiquitous Mobile Network (DIMSUMnet) Kang G. Shin, University of Michigan, Efficient Wireless Spectrum Utilization with Adaptive Sensing

and Spectral Agility Qing Zhao, UC Davis, An Integrated Approach to Opportunistic Spectrum Access Randall Berry, Michael Honig and Rakesh Vohra, Northwestern University, Smart Markets for Smart

Radios Mario Gerla, Stefano Soatto, Michael Fitz, Giovanni Pau, UCLA, Emergency Ad Hoc Networking

Using Programmable Radios and Intelligent Swarms Saswati Sarkar, University of Pennsylvania, Dynamic Spectrum MAC with Multiparty Support in

Adhoc Networks Marwan Krunz, Shuguang Cui, University of Arizona Resource Management and Distributed

Protocols for Heterogeneous Cognitive-Radio Networks Dennis Roberson, Cindy Hood, Joe LoCicero, Don Ucci (Illionis Institute of Technology), Uf Tureli

(Stevens Institute of Technology) Wireless Interference and Characterization on Network Performance

Narayan Mandayam, Christopher Rose, Predrag Spasojevic, Roy Yates, WINLAB Rutgers University, Cognitive Radios for Open Access to Spectrum

Xin Liu (University of California, Davis) CAREER: Smart-Radio-Technology-Enabled Opportunistic Spectrum Utilization

Dirk Grunwald, Doug Sicker, John Black (University of Colorado), NeTS-ProWIN: Topology And Routing With Steerable Antennas

Uf Turelli, Kevin Ryan (Stevens Institute of Tech), Milind M. Buddhikot, Scott Miller (Lucent Bell Lab), Dynamic Intelligent Management of Spectrum for Ubiquitous Mobile Network (DIMSUMnet)

Kang G. Shin, University of Michigan, Efficient Wireless Spectrum Utilization with Adaptive Sensing and Spectral Agility

Qing Zhao, UC Davis, An Integrated Approach to Opportunistic Spectrum Access Randall Berry, Michael Honig and Rakesh Vohra, Northwestern University, Smart Markets for Smart

Radios Mario Gerla, Stefano Soatto, Michael Fitz, Giovanni Pau, UCLA, Emergency Ad Hoc Networking

Using Programmable Radios and Intelligent Swarms Saswati Sarkar, University of Pennsylvania, Dynamic Spectrum MAC with Multiparty Support in

Adhoc Networks Marwan Krunz, Shuguang Cui, University of Arizona Resource Management and Distributed

Protocols for Heterogeneous Cognitive-Radio Networks Dennis Roberson, Cindy Hood, Joe LoCicero, Don Ucci (Illionis Institute of Technology), Uf Tureli

(Stevens Institute of Technology) Wireless Interference and Characterization on Network Performance

Narayan Mandayam, Christopher Rose, Predrag Spasojevic, Roy Yates, WINLAB Rutgers University, Cognitive Radios for Open Access to Spectrum

Links to other projectsLinks to other projects Platform/Testbed projects

Dirk Grunwald (U. Colorado), John Chapin (Vanu, Inc), Joe Carey (Fidelity Comtech) A Programmable Wireless Platform For Spectral, Temporal and Spatial Spectrum Management

Jeffrey H. Reed, William H. Tranter, and R. Michael Buehrer, Virginia Tech, An Open Systems Approach for Rapid Prototyping Waveforms for Software Defined Radio

D. Raychaudhuri (WINLAB, Rutgers University) ORBIT: Open Access Research Testbed for Next-Generation Wireless Networks

B. Ackland, I. Seskar & D. Raychaudhuri, (WINLAB, Rutgers University), T. Sizer (Lucent Technologies), J. Laskar(GA Tech) High Performance Cognitive Radio Platform with Integrated Physical and Network Layer Capabilities

Babak Daneshrad, University of California, Los Angeles, Programmable/Versatile Radio Platforms for the Networking Research Community

Prasant Mohapatra, University of California, Davis, Quail Ridge Wireless Mesh Networks: A Wide Area Test-bed

Platform/Testbed projects Dirk Grunwald (U. Colorado), John Chapin (Vanu, Inc), Joe Carey (Fidelity

Comtech) A Programmable Wireless Platform For Spectral, Temporal and Spatial Spectrum Management

Jeffrey H. Reed, William H. Tranter, and R. Michael Buehrer, Virginia Tech, An Open Systems Approach for Rapid Prototyping Waveforms for Software Defined Radio

D. Raychaudhuri (WINLAB, Rutgers University) ORBIT: Open Access Research Testbed for Next-Generation Wireless Networks

B. Ackland, I. Seskar & D. Raychaudhuri, (WINLAB, Rutgers University), T. Sizer (Lucent Technologies), J. Laskar(GA Tech) High Performance Cognitive Radio Platform with Integrated Physical and Network Layer Capabilities

Babak Daneshrad, University of California, Los Angeles, Programmable/Versatile Radio Platforms for the Networking Research Community

Prasant Mohapatra, University of California, Davis, Quail Ridge Wireless Mesh Networks: A Wide Area Test-bed