Wireless coexistence: Pareto optimality

Tingfang Ji, H. Jonathan Chao, Nan Feng

Research output: Contribution to conferencePaperpeer-review


In this paper, a network coexistence methodology is investigated for robust coexistence of an arbitrary set of non-collaborative networks. It is shown that maximizing the energy efficiency of each node is the key to the capacity maximization for the coexisting networks. Unlike existing pairwise coexisting schemes, a two level distributed algorithm is proposed without resorting to any knowledge of the physical layer and MAC layer protocols of interfering networks. The coexistence scheme is formulated as an N-person noncooperative power-controlled coexistence game (NPCG) whose convergence and optimality properties are discussed from a game theory view point. One interesting property of the game is that the Nash Equilibrium of the game is on the Pareto frontier, i.e., a social optimal of the distributed networks.

Original languageEnglish (US)
Number of pages5
StatePublished - 2004
EventGLOBECOM'04 - IEEE Global Telecommunications Conference - Dallas, TX, United States
Duration: Nov 29 2004Dec 3 2004


OtherGLOBECOM'04 - IEEE Global Telecommunications Conference
Country/TerritoryUnited States
CityDallas, TX


  • Ad hoc networks
  • Coexistence
  • Energy efficiency
  • Link adaptation
  • Nash equilibrium
  • Noncooperative game
  • Pareto frontier
  • Power control

ASJC Scopus subject areas

  • Engineering(all)


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