TY - GEN
T1 - A Jamming Game with Fair Trade-off between SINR and Power Saving
AU - Garnaev, Andrey
AU - Trappe, Wade
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Wireless technologies are susceptible to malicious interference or jamming due to their shared and open-access nature. To design anti-jamming protocols within such hostile environments, the difference between throughput or signal-to-interference-plus-noise ratio (SINR) and the cost of applied power resources is typically considered. Meanwhile widely using different battery-powered mobile units, which might be difficult to serve (say, for recharging), calls for developing a more flexible energy management scheme (quality of service (QoS) metric) maintaining uninterrupted communication with energy-saving of involved restricted power resources. For example, such a communication task, for the drone operator, is to support communication with the drone. Meanwhile, for the anti-drone operator, the task is to degrade such communication. To deal with this challenge, in this paper, we suggest implementing alpha-fairness criteria as such metric to connect power-saving tasks and communication tasks. The problem is modeled by a non-zero-sum two-agent resource allocation game. The equilibrium is derived and its uniqueness is proven to reflect stability in communication based on the suggested anti-jamming communication protocol. An approach how to select the fairest protocol from a derived continuum of protocols (a protocol per a fairness coefficient) is suggested and illustrated.
AB - Wireless technologies are susceptible to malicious interference or jamming due to their shared and open-access nature. To design anti-jamming protocols within such hostile environments, the difference between throughput or signal-to-interference-plus-noise ratio (SINR) and the cost of applied power resources is typically considered. Meanwhile widely using different battery-powered mobile units, which might be difficult to serve (say, for recharging), calls for developing a more flexible energy management scheme (quality of service (QoS) metric) maintaining uninterrupted communication with energy-saving of involved restricted power resources. For example, such a communication task, for the drone operator, is to support communication with the drone. Meanwhile, for the anti-drone operator, the task is to degrade such communication. To deal with this challenge, in this paper, we suggest implementing alpha-fairness criteria as such metric to connect power-saving tasks and communication tasks. The problem is modeled by a non-zero-sum two-agent resource allocation game. The equilibrium is derived and its uniqueness is proven to reflect stability in communication based on the suggested anti-jamming communication protocol. An approach how to select the fairest protocol from a derived continuum of protocols (a protocol per a fairness coefficient) is suggested and illustrated.
KW - Energy-saving
KW - Fairness
KW - Jamming
KW - SINR
UR - http://www.scopus.com/inward/record.url?scp=85202352594&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85202352594&partnerID=8YFLogxK
U2 - 10.1109/MeditCom61057.2024.10621403
DO - 10.1109/MeditCom61057.2024.10621403
M3 - Conference contribution
T3 - 2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024
SP - 541
EP - 546
BT - 2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024
Y2 - 8 July 2024 through 11 July 2024
ER -