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Symptotics: a framework for estimating the scalability of real-world wireless networks.

, , , , and . Wireless Networks, 23 (4): 1063-1083 (2017)

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Performance analysis of practical distributed backpressure protocols., , and . ICCCN, page 1-8. IEEE, (2014)Symptotics: a framework for estimating the scalability of real-world wireless networks., , , , and . Wireless Networks, 23 (4): 1063-1083 (2017)Efficient chaff-aided obfuscation in resource constrained environments., , , and . MILCOM, page 97-102. IEEE, (2017)Efficient Power Adaptation against Deep Learning Based Predictive Adversaries., and . WiseML@WiSec, page 37-42. ACM, (2019)Distributed backpressure protocols with limited state feedback., , , , and . MILCOM, page 693-698. IEEE, (2011)Generative Models for Global Collaboration Relationships., , and . CoRR, (2016)Scalability and Satisfiability of Quality-of-Information in Wireless Networks., , , , and . IEEE/ACM Trans. Netw., 26 (1): 398-411 (2018)Location Privacy in Mobile Edge Clouds: A Chaff-based Approach., , , and . CoRR, (2017)Scalability and satisfiability of quality-of-information in wireless networks., , , , and . WCNC, page 1-6. IEEE, (2016)Topology control for time-varying contested environments., , , , and . MILCOM, page 1397-1402. IEEE, (2015)