The paper considers the problem of designing the maxmin strategy for a dual-purpose communication and radar system that employs multicarrier OFDM style waveforms, but faces an uncertain level of background noise. As the payoff for the system, we consider the weighted sum of the communication throughput and the radar’s SINR. The problem is formulated as a zero-sum game between the system and a rival, which may be thought of as the environment or nature. Since the payoff for such a system combines different type of metrics (SINR and throughput), this makes underlying problem associated with jamming such a systems different from the typical jamming problem arising in communication scenarios, where the payoff usually involves only one of these metrics. In this paper, the existence and uniqueness of the equilibrium strategies are proven as well as water-filling equations to design the equilibrium are derived. Finally, using Nash product the optimal value of weights are found to optimize tradeoff of radar and communication objectives.
Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks
Subtitle of host publication13th EAI International Conference, CROWNCOM 2018, Proceedings
EditorsJohann Marquez-Barja, Adnan Shahid, Wei Liu, Spilios Giannoulis, Xianjun Jiao, Ingrid Moerman
PublisherSpringer Nature
Pages154-164
ISBN (Print)9783030054892
DOIs
StatePublished - 2019
Externally publishedYes
Event13th EAI International Conference - Ghent, Belgium
Duration: 18 Sep 201820 Sep 2018

Publication series

Name Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
Volume261

Conference

Conference13th EAI International Conference
Abbreviated titleCROWNCOM 2018
Country/TerritoryBelgium
CityGhent
Period18/09/1820/09/18

    Scopus subject areas

  • Computer Networks and Communications

    Research areas

  • Background noise, Dual-purpose communication and radar system, Maxmin

ID: 37403488