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ORCIDDheeraj Narasimha
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2020 – today
- 2024
[c4]Nouman Khan, Ujwal Dinesha, Subrahmanyam Arunachalam, Dheeraj Narasimha, Vijay G. Subramanian, Srinivas Shakkottai:
A Multi-Agent View of Wireless Video Streaming with Delayed Client-Feedback. INFOCOM 2024: 1591-1600- [i3]Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella:
CONGO: Compressive Online Gradient Optimization with Application to Microservices Management. CoRR abs/2407.06325 (2024) - [i2]Nicolas Gast, Dheeraj Narasimha:
Model Predictive Control is Almost Optimal for Restless Bandit. CoRR abs/2410.06307 (2024) - 2023
- [j2]Dheeraj Narasimha
, Srinivas Shakkottai, Lei Ying:
Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. IEEE/ACM Trans. Netw. 31(4): 1674-1687 (2023) - 2022
- [c3]Dheeraj Narasimha, Ki-Yeob Lee, Dileep Kalathil, Srinivas Shakkottai:
Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources. CDC 2022: 6350-6357 - 2021
- [c2]Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying:
Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. INFOCOM 2021: 1-10 - 2020
- [j1]Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying:
A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. IEEE/ACM Trans. Netw. 28(5): 1939-1952 (2020)
2010 – 2019
- 2019
- [c1]Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying:
A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. MobiHoc 2019: 1-10 - 2014
- [i1]Srikanth K. Iyer, Rahul Vaze, Dheeraj Narasimha:
Autoregressive Cascades on Random Networks. CoRR abs/1411.3796 (2014)
Coauthor Index
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