Publications

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  • B Blaszczyszyn, A Brochard, P. Keeler. Coverage probability in wireless networks with determinantal scheduling. 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOPT 2020, 2020.

  • B Blaszczyszyn, P. Keeler. Determinantal thinning of point processes with network learning applications. IEEE Wireless Communications and Networking Conference, WCNC, 2019-April, 1-8, 2019. doi: 10.1109/WCNC.2019.8885526.

  • Arpan Chattopadhyay, Bartlomiej Blaszczyszyn, P. Keeler, B BÅ‚aszczyszyn. Gibbsian On-Line Distributed Content Caching Strategy for Cellular Networks. IEEE Transactions on Wireless Communications, 17, 969-981, 2018. doi: 10.1109/TWC.2017.2772911.

  • C Hirsch, B Jahnel, P. Keeler, R Patterson. Large deviations in relay-augmented wireless networks. Queueing Systems, 88, 349-387, 2018. doi: 10.1007/s11134-017-9555-9.

  • P. Keeler, B Jahnel, O Maye, D Aschenbach, M Brzozowski. Disruptive events in high-density cellular networks. 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2018, 1-8, 2018. doi: 10.23919/WIOPT.2018.8362867.

  • Martin Haenggi, P. Keeler, Sayandev Mukherjee. Stochastic Geometry Analysis of Cellular Networks. Cambridge University Press, 2018. doi: 10.1017/9781316677339.

  • B Blaszczyszyn, P. Keeler, P Muehlethaler, P Muhlethaler. Optimizing spatial throughput in device-to-device networks. 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017, 2017. doi: 10.23919/WIOPT.2017.7959938.

  • C Hirsch, B Jahnel, P. Keeler, RIA Patterson. Traffic flow densities in large transport networks. Advances in Applied Probability, 49, 1091-1115, 2017. doi: 10.1017/apr.2017.35.

  • P. Keeler, N. Ross, A. Xia, Bartlomiej Blaszczyszyn. Stronger Wireless Signals Appear More Poisson. IEEE Wireless Communications Letters, 5, 572-575, 2016. doi: 10.1109/LWC.2016.2601913.

  • C Hirsch, B Jahnel, P. Keeler, RIA Patterson. Large deviation principles for connectable receivers in wireless networks. Advances in Applied Probability, 48, 1061-1094, 2016. doi: 10.1017/apr.2016.65.

  • Bartlomiej Blaszczyszyn, P. Keeler. Studying the SINR Process of the Typical User in Poisson Networks Using Its Factorial Moment Measures. IEEE Transactions on Information Theory, 61, 6774-6794, 2015. doi: 10.1109/TIT.2015.2484348.

  • B BÅ‚aszczyszyn, MK Karray, P. Keeler, Bartlomiej Blaszczyszyn. Wireless networks appear poissonian due to strong shadowing. IEEE Transactions on Wireless Communications, 14, 4379-4390, 2015. doi: 10.1109/TWC.2015.2420099.

  • Johannes Göbel, P. Keeler, Anthony E Krzesinski, P. Taylor. Bitcoin Blockchain Dynamics: the Selfish-Mine Strategy in the Presence of Propagation Delay. 2015.

  • P. Keeler, Bartlomiej Blaszczyszyn. SINR in wireless networks and the two-parameter poisson-dirichlet process. IEEE Wireless Communications Letters, 3, 525-528, 2014. doi: 10.1109/LWC.2014.2345691.

  • Kumar Gaurav, Bartlomiej Blaszczyszyn, P. Keeler. Pioneers of Influence Propagation in Social Networks. COMPUTING AND COMBINATORICS, COCOON 2014, 8591, 626-636, 2014.

  • P. Keeler, B Blaszczyszyn, MK Karray. SINR-based k-coverage probability in cellular networks with arbitrary shadowing. IEEE International Symposium on Information Theory - Proceedings, 1167-+, 2013. doi: 10.1109/ISIT.2013.6620410.

  • B Blaszczyszyn, P. Keeler. Equivalence and comparison of heterogeneous cellular networks. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 153-157, 2013. doi: 10.1109/PIMRCW.2013.6707855.

  • B Blaszczyszyn, MK Karray, P. Keeler. Using Poisson processes to model lattice cellular networks. Proceedings - IEEE INFOCOM, 773-781, 2013. doi: 10.1109/INFCOM.2013.6566864.

  • P. Keeler. A stochastic analysis of greedy routing in a spatially dependent sensor network. European Journal of Applied Mathematics, 23, 485-514, 2012. doi: 10.1017/S095679251200006X.

  • GA Tularam, P. Keeler. The study of coastal groundwater depth and salinity variation using time-series analysis. Environmental Impact Assessment Review, 26, 633-642, 2006. doi: 10.1016/j.eiar.2006.06.003.