This symposium intends to bring together researchers and practitioners working on modeling and optimization of wireless network design and operations. It welcomes original, highquality works on different perspectives, including performance analysis and simulation, algorithms and protocol design, optimization theory and application, information theoretic analysis including capacity scaling, for all forms of wireless networks: cellular, metropolitan, ad hoc, delay-tolerant, mesh, sensor networks as well as any combination of these.

Call for paper


The 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks solicits high-quality contributions. Technically co-sponsored by IEEE and IFIP (approval pending).


WiOpt 2016 welcomes original papers related to modeling, performance evaluation, and optimization of wireless networks. The scope covers all types of wireless networks: cellular, ad hoc, content-driven, delay-tolerant, mesh, metropolitan, sensor, cognitive, vehicular, robotic, etc. The focus is on issues at and above the MAC layer, although cross-layer techniques encompassing the physical layer are equally welcome. We encourage both theoretical contributions and submissions relating to real world empirical measurements/experimental studies.


The areas of interest include, but not limited to, the following:

  • Modeling, model validation, and performance analysis
  • Scaling laws and fundamental limits
  • Network architectures and design considerations    
  • Resource allocation and management
  • Network economics
  • Quality of service 
  • Energy efficiency, power control and management      
  • Security, trust and privacy 
  • Network resilience, anomaly detection, and reliability analysis
  • Cross-layer design and optimization / control     
  • Empirical measurements and experimental studies


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Important dates

  • Conference Dates

    09 May.



    13 May.


  • 12 Jan.


    Final paper deadline

Contact information

  • Ness B. Shroff
  • +1614-247-6554+1614-292-7596
  • Junshan Zhang
  • (480)727-7389