Just some initial thoughts on research project

Cognitive WiMAX
Justifications
Enable cost effective deployments
Minimize need for expensive System Integrators
Enable less skilled labor to install
Self starting / Autonomous initialization
Important for DOTs and large scale deployments
Important for rural and developing/3rd world nations
Fast deployments for emergency and hostile environments
Account for changes and crowding of spectrum
Cost effective long term operations
Minimize requirement for in-field service
Capability to adapt to changing wireless landscape

Justifications
SDR based radios vs System on Chip
Higher return on initial investment
Lifespan of 15-20 years instead of 3-5 years based on how fast technology improves
Lower cost installation and maintenance
Synergy with the way a DOT or government does business
One time high dollar amount procurements w/o budget for upgrade/maintenance
Improved Performance
Make better use of available spectrum
Optimize configuration based on existing conditions improve overall throughput/performance

General Concept
Some Ideas
Spectrum Decision Methodology
User requirements  System knobs
Data rate
Acceptable error rate
Delay bound
Transmission mode
Bandwidth requirements
Carrier frequency

Adapting WiMAX transport protocols to a dynamic spectrum environment

Ideas (cont)
Handover Delay
Delay caused by spectrum handoff
Contrast to delay caused by mobile handoff
Synergy with my current work with Cisco quantifying handoff delay between APs from a mobile client
Co-existence of WiMAX with other WiMAX and 802.11 in unlicensed bands
How the scheduled MAC of WiMAX interoperates with a CSMA/CD based systems like 802.11
Adapting Sports Physiology Models to ‘training’ a CR
In Sports Physiology there is a concept known as Periodized Training
Variables such as Training volume and Training intensity are manipulated throughout the year in order to optimize performance at a specific time such as for the competition phase or a specific event as the finals

Research
Develop a ‘training’ plan for a CR radio node
Adapt physiological models of periodized training to CR
Develop schedule for ‘when’ a CR should be in a certain mode of operation in order to optimize the performance during certain events.
Similar to taking an athlete and training them for a competition season or a specific event
Matveyev’s Model of Periodization

For example
In the prepatory phase, a CR would be in a spectrum sensing mode
Power usage HIGH
Cooperative with other nodes higher overhead
LOW throughput  lower performance
In the ‘competition’ or high performance phase
Lower sensing , lower cooperation,  more resources for throughput higher performance
The CR knowingly sacrifices performance during non-mission critical times in order to learn more which in the end should optimize the end goals when needed for higher priority data