My complete and up-to-date publication list is available through Google Scholar. My publications are also indexed by ORCID and DBLP.
We develop a framework for valuing federal spectrum, with particular emphasis on opportunity costs, social benefits, and the policy choices involved in making spectrum available for commercial use.
R. Berry, T. W. Hazlett, and M. Honig, “Valuing Federal Spectrum,” TPRC 2026, September 2026, Washington, DC.
We study how 5G networks can support massive handovers when shared spectrum becomes unavailable, and how random access resources should be allocated in response.
K. Mu, Z. Xie, I. Kadota, and R. Berry, “Analysis and Optimization of 5G Random Access for Massive Handover with Spectrum Sharing,” DySPAN 2026, Washington, DC, 2026, pp. 1-10.
We examine how contracts can coordinate infrastructure and spectrum sharing when resources, demand, and participation change over time.
Z. Xie and R. A. Berry, “Optimal Contract Design for Dynamic Sharing of Infrastructure and Spectrum,” DySPAN 2026, Washington, DC, 2026, pp. 1-8.
We investigate network utility maximization when users make strategic decisions in queueing systems, using a game-theoretic approach to characterize system behavior.
Q. Nguyen, R. Berry, and E. Modiano, “Stochastic Network Utility Maximization in Strategic Queueing Systems: A Game-Theoretic Approach,” Proceedings of the ACM on Measurement and Analysis of Computing Systems, 10(1), Article 21, March 2026.
We analyze how orbital geometry, interference, frequency reuse and system resources determine the downlink area spectral efficiency of LEO satellite constellations.
C. Ozturk, D. Guo, R. A. Berry, and M. L. Honig, “Downlink Spectral Efficiency of LEO Satellite Constellations,” ISIT 2025, Ann Arbor, MI, 2025, pp. 1-6.
We characterize fundamental tradeoffs between transmission power and queueing delay for communication over fading channels.
R. Berry and R. Gallager, "Communication Over Fading Channels with Delay Constraints," IEEE Transactions on Information Theory, vol. 48, no. 5, pp. 1135-1149, May 2002.
We jointly optimize source coding and transmission power to reduce the energy required for wireless video communication subject to quality and delay constraints.
Y. Eisenberg, C. Luna, T. Pappas, R. Berry, and A. Katsaggelos, "Joint Source Coding and Transmission Power Management for Energy Efficient Wireless Video Communications," IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 6, pp. 411-424, June 2002.
We develop distributed medium-access approaches that exploit variations in users' wireless channel conditions to improve network performance.
X. Qin and R. Berry, "Distributed Approaches For Exploiting Multiuser Diversity in Wireless Networks," IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 392-413, Feb. 2006.
We develop distributed algorithms in which users exchange "interference prices" and adapt their transmission power to manage interference and improve network performance.
J. Huang, R. Berry, and M. L. Honig, "Distributed Interference Compensation for Wireless Networks," IEEE Journal on Selected Areas in Communications, vol. 24, no. 5, pp. 1074-1085, May 2006.
We study the interaction between information-theoretic limits and strategic behavior when users sharing an interference channel act selfishly.
R. Berry and D. Tse, "Shannon meets Nash on the Interference Channel," IEEE Transactions on Information Theory, vol. 57, no. 5, pp. 2821-2836, April 2011.