Probabilistic Lossy Channel Systems. - S. Purushothaman Iyer; Murali Narasimha (TAPSOFT, 1997)

The role of observations in probabilistic open systems. - Murali Narasimha; Rance Cleaveland; S. Purushothaman Iyer (Monterey Workshop, 1998)

Probabilistic temporal logics via the modal mu-calculus. - Rance Cleaveland; S. Purushothaman Iyer; Murali Narasimha (Theor. Comput. Sci., 2005)

Network Coding Applications for 5G Millimeter-Wave Communications. - Murali Narasimha; Hossein Bagheri (CoRR, 2015)

Performance Analysis of Vehicle Platooning Using a Cellular Network. - Murali Narasimha; Vip Desai; George Calcev; Weimin Xiao; Philippe J. Sartori; Anthony C. K. Soong (VTC Fall, 2017)

Towards Robustness: Machine Learning for MmWave V2X with Situational Awareness. - Yuyang Wang 004; Murali Narasimha; Robert W. Heath Jr. (ACSSC, 2018)

MmWave Vehicular Beam Training with Situational Awareness by Machine Learning. - Yuyang Wang 004; Aldebaro Klautau; Mónica Ribero; Murali Narasimha; Robert W. Heath Jr. (GLOBECOM Workshops, 2018)

MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach. - Yuyang Wang 004; Murali Narasimha; Robert W. Heath Jr. (SPAWC, 2018)

Network Coding for Integrated Access and Backhaul Wireless Networks. - Wei Mao 003; Murali Narasimha; Meryem Simsek; Hosein Nikopour (WOCC, 2020)

Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks. - Meryem Simsek; Murali Narasimha; Oner Orhan; Hosein Nikopour; Wei Mao 003; Shilpa Talwar (Frontiers Commun. Networks, 2020)

Transitioning to 6G Part 1: Radio Technologies. - Sharad Sambhwani; Zdravko Boos; Sidharth Dalmia; Arman Fazeli; Bertram Gunzelmann; Anatoliy Ioffe; Murali Narasimha; Francesco Negro; Laxminarayana S. Pillutla; John Zhou (IEEE Wirel. Commun., 2022)