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ORCIDKrishna P. Jagannathan
Krishna Prasanna Jagannathan – Krishna Jagannathan 0001
Person information
- affiliation: IIT Madras, Chennai, India
- affiliation: Caltech, CA, USA
- affiliation: MIT, USA
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2020 – today
- 2024
[j26]Sushmitha Shree S
, Avhishek Chatterjee, Krishna P. Jagannathan:
Finite Time Bounds for Stochastic Bounded Confidence Dynamics. IEEE Trans. Netw. Sci. Eng. 11(2): 2182-2190 (2024)- [c47]Pallavi Varma P. K, Krishna Jagannathan, Dhivagar B, Klutto Milleth:
Resource Allocation for QoS Enforcement in 5G: Trading off Fairness and Delay-Awareness. NCC 2024: 1-6 - 2023
- [j25]Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan:
Constrained regret minimization for multi-criterion multi-armed bandits. Mach. Learn. 112(2): 431-458 (2023) - [c46]Jaswanthi Mandalapu, Avhishek Chatterjee, Krishna P. Jagannathan, Andrew Thangaraj:
Capacity Achieving Codes for an Erasure Queue-channel. ISIT 2023: 1902-1907 - [c45]K. Nithin Varma, Krishna P. Jagannathan:
An Erasure Queue-Channel with Feedback: Optimal Transmission Control to Maximize Capacity. ITW 2023: 24-29 - [c44]Sushmitha Shree S, Avijit Mandal, Avhishek Chatterjee, Krishna P. Jagannathan:
Towards Maximizing Nonlinear Delay-Sensitive Rewards in Queuing Systems. WiOpt 2023: 1-8 - [i35]Jaswanthi Mandalapu, Krishna P. Jagannathan, Avhishek Chatterjee, Andrew Thangaraj:
Capacity Achieving Codes for an Erasure Queue-Channel. CoRR abs/2305.04155 (2023) - 2022
- [j24]Subrahmanya Swamy Peruru, Aravind Srinivasan, Radha Krishna Ganti, Krishna P. Jagannathan:
Low-complexity scheduling algorithms with constant queue length and throughput guarantees. Perform. Evaluation 157-158: 102310 (2022) - [j23]Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits. IEEE Trans. Inf. Theory 68(8): 5248-5267 (2022) - [c43]Amit Anand Jha, Nazal Mohamed, Krishna P. Jagannathan:
Collaborative Best Arm Identification in Multi-armed Bandits. COMSNETS 2022: 335-343 - [c42]Sushmitha Shree S, Kishore G. V, Avhishek Chatterjee, Krishna P. Jagannathan:
Stochastic Bounded Confidence Opinion Dynamics: How Far Apart Do Opinions Drift? COMSNETS 2022: 613-620 - [c41]Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan:
A Survey of Risk-Aware Multi-Armed Bandits. IJCAI 2022: 5623-5629 - [c40]Jaswanthi Mandalapu, Krishna P. Jagannathan:
The Classical Capacity of Quantum Jackson Networks with Waiting Time-Dependent Erasures. ITW 2022: 552-557 - [i34]Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan:
A Survey of Risk-Aware Multi-Armed Bandits. CoRR abs/2205.05843 (2022) - [i33]Jaswanthi Mandalapu, Krishna P. Jagannathan:
The Classical Capacity of Quantum Jackson Networks with Waiting Time-Dependent Erasures. CoRR abs/2206.04262 (2022) - [i32]Sushmitha Shree S, Avijit Mandal, Avhishek Chatterjee, Krishna P. Jagannathan:
Towards Maximizing Nonlinear Delay Sensitive Rewards in Queuing Systems. CoRR abs/2211.00367 (2022) - [i31]Sushmitha Shree S, Avhishek Chatterjee, Krishna P. Jagannathan:
Finite Time Bounds for Stochastic Bounded Confidence Dynamics. CoRR abs/2212.13387 (2022) - 2021
- [j22]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts. IEEE Trans. Intell. Transp. Syst. 22(10): 6526-6535 (2021) - [c39]Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan:
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. AISTATS 2021: 622-630 - [c38]Pawan Poojary, Sharayu Moharir, Krishna P. Jagannathan:
A Coupon Collector based approximation for LRU cache hits under Zipf requests. WiOpt 2021: 200-207 - [i30]Vikesh Siddhu, Avhishek Chatterjee, Krishna P. Jagannathan, Prabha Mandayam, Sridhar R. Tayur:
Queue-Channel Capacities with Generalized Amplitude Damping. CoRR abs/2107.13486 (2021) - [i29]Vikesh Siddhu, Avhishek Chatterjee, Krishna P. Jagannathan, Prabha Mandayam, Sridhar R. Tayur:
Unital Qubit Queue-channels: Classical Capacity and Product Decoding. CoRR abs/2110.02800 (2021) - [i28]Arvind S. Menon, Prashanth L. A., Krishna P. Jagannathan:
Online Estimation and Optimization of Utility-Based Shortfall Risk. CoRR abs/2111.08805 (2021) - [i27]Sushmitha Shree S, Kishore G. V, Avhishek Chatterjee, Krishna P. Jagannathan:
Stochastic Bounded Confidence Opinion Dynamics: How Far Apart Do Opinions Drift? CoRR abs/2112.04373 (2021) - 2020
- [j21]Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of Additive Quantum Queue-Channels. IEEE J. Sel. Areas Inf. Theory 1(2): 432-444 (2020) - [j20]Debayani Ghosh, Krishna P. Jagannathan, Gaurav Raina:
Right buffer sizing matters: Some dynamical and statistical studies on Compound TCP. Perform. Evaluation 139: 102095 (2020) - [c37]Prashanth L. A., Krishna P. Jagannathan, Ravi Kumar Kolla:
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions. ICML 2020: 5577-5586 - [i26]Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Constrained regret minimization for multi-criterion multi-armed bandits. CoRR abs/2006.09649 (2020) - [i25]Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan:
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. CoRR abs/2006.12038 (2020) - [i24]Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits. CoRR abs/2008.13629 (2020)
2010 – 2019
- 2019
- [j19]Ravi Kumar Kolla, Prashanth L. A., Sanjay P. Bhat, Krishna P. Jagannathan:
Concentration bounds for empirical conditional value-at-risk: The unbounded case. Oper. Res. Lett. 47(1): 16-20 (2019) - [c36]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory. EPIA (1) 2019: 572-583 - [c35]Krishna P. Jagannathan, Avhishek Chatterjee, Prabha Mandayam:
Qubits through Queues: The Capacity of Channels with Waiting Time Dependent Errors. NCC 2019: 1-6 - [c34]Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards. NeurIPS 2019: 11269-11278 - [c33]Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of a Quantum Erasure Queue-Channel. SPAWC 2019: 1-5 - [c32]Arunabh Srivastava, Abhishek Sinha, Krishna P. Jagannathan:
On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels. WiOpt 2019: 1-6 - [i23]Ravi Kumar Kolla, Prashanth L. A., Krishna P. Jagannathan:
Risk-aware Multi-armed Bandits Using Conditional Value-at-Risk. CoRR abs/1901.00997 (2019) - [i22]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts. CoRR abs/1902.06515 (2019) - [i21]Arunabh Srivastava, Abhishek Sinha, Krishna P. Jagannathan:
On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels. CoRR abs/1904.00647 (2019) - [i20]Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards. CoRR abs/1906.00569 (2019) - [i19]Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of a Quantum Erasure Queue-Channel. CoRR abs/1906.01356 (2019) - [i18]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory. CoRR abs/1909.06041 (2019) - [i17]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks. CoRR abs/1911.08793 (2019) - 2018
- [j18]Debayani Ghosh, Krishna P. Jagannathan, Gaurav Raina:
Local Stability and Hopf Bifurcation Analysis for Compound TCP. IEEE Trans. Control. Netw. Syst. 5(4): 1668-1681 (2018) - [j17]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy. IEEE Trans. Intell. Transp. Syst. 19(11): 3686-3697 (2018) - [j16]Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan:
Collaborative Learning of Stochastic Bandits Over a Social Network. IEEE/ACM Trans. Netw. 26(4): 1782-1795 (2018) - [j15]Peruru Subrahmanya Swamy, Venkata Pavan Kumar Bellam, Radha Krishna Ganti, Krishna P. Jagannathan:
Efficient CSMA Using Regional Free Energy Approximations. IEEE/ACM Trans. Netw. 26(4): 1796-1809 (2018) - [j14]Ravi Kiran Raman, Krishna P. Jagannathan:
Downlink Resource Allocation Under Time-Varying Interference: Fairness and Throughput Optimality. IEEE Trans. Wirel. Commun. 17(2): 722-735 (2018) - [c31]Pawan Poojary, Sharayu Moharir, Krishna P. Jagannathan:
Caching policies under content freshness constraints. COMSNETS 2018: 400-402 - [c30]Peruru Subrahmanya Swamy, Aravind Srinivasan, Radha Krishna Ganti, Krishna P. Jagannathan:
Hierarchical scheduling algorithms with throughput guarantees and low delay. WiOpt 2018: 1-8 - [i16]Avhishek Chatterjee, Krishna P. Jagannathan, Prabha Mandayam:
Qubits through Queues: The Capacity of Channels with Waiting Time Dependent Errors. CoRR abs/1804.00906 (2018) - [i15]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy. CoRR abs/1805.06619 (2018) - [i14]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
Impact of delayed acceleration feedback on the classical car-following model. CoRR abs/1805.09743 (2018) - [i13]Ravi Kumar Kolla, Prashanth L. A., Sanjay P. Bhat, Krishna P. Jagannathan:
Concentration bounds for empirical conditional value-at-risk: The unbounded case. CoRR abs/1808.01739 (2018) - [i12]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks. CoRR abs/1812.03699 (2018) - 2017
- [j13]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
The modified optimal velocity model: stability analyses and design guidelines. IFAC J. Syst. Control. 2: 18-32 (2017) - [j12]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Queuing Approaches to Principal-Agent Communication Under Information Overload. IEEE Trans. Inf. Theory 63(9): 6041-6058 (2017) - [j11]Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna P. Jagannathan:
Adaptive CSMA Under the SINR Model: Efficient Approximation Algorithms for Throughput and Utility Maximization. IEEE/ACM Trans. Netw. 25(4): 1968-1981 (2017) - [i11]Peruru Subrahmanya Swamy, Venkata Pavan Kumar Bellam, Radha Krishna Ganti, Krishna P. Jagannathan:
Efficient CSMA using Regional Free Energy Approximations. CoRR abs/1702.06772 (2017) - [i10]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
Modified Optimal Velocity Model: Stability Analyses and Design Guidelines. CoRR abs/1706.09706 (2017) - [i9]Pawan Poojary, Sharayu Moharir, Krishna P. Jagannathan:
Caching under Content Freshness Constraints. CoRR abs/1712.10041 (2017) - 2016
- [j10]Atanu Chatterjee, Gitakrishnan Ramadurai, Krishna P. Jagannathan:
Contagion processes on urban bus networks in Indian cities. Complex. 21(S2): 451-458 (2016) - [j9]Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman:
When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling. IEEE/ACM Trans. Netw. 24(2): 982-995 (2016) - [c29]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
Impact of Delayed Acceleration Feedback on the Reduced Classical Car-Following Model. CCA 2016: 1336-1343 - [c28]Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan:
Collaborative learning of stochastic bandits over a social network. Allerton 2016: 1228-1235 - [c27]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
A computational study of a variant of the Optimal Velocity Model with no collisions. COMSNETS 2016: 1-6 - [c26]Ravina Gelda, Krishna P. Jagannathan, Gaurav Raina:
Taxi Dispatches Using Supply Forecasting: A Time-Series Based Approach. HPCC/SmartCity/DSS 2016: 1333-1340 - [c25]Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
A multi-level clustering approach for forecasting taxi travel demand. ITSC 2016: 223-228 - [c24]Prashant Kumar, Radha Krishna Ganti, Gaurav Raina, Krishna P. Jagannathan:
A probabilistic study of map matching for transportation applications. ITSC 2016: 1330-1335 - [i8]Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna P. Jagannathan:
Adaptive CSMA under the SINR Model: Efficient Approximation Algorithms for Throughput and Utility Maximization. CoRR abs/1601.06065 (2016) - [i7]Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan:
Stochastic bandits on a social network: Collaborative learning with local information sharing. CoRR abs/1602.08886 (2016) - [i6]Debayani Ghosh, Krishna P. Jagannathan, Gaurav Raina:
Right buffer sizing matters: stability and queuing dynamics in TCP. CoRR abs/1604.05516 (2016) - [i5]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Queuing Approaches to Principal-Agent Communication under Information Overload. CoRR abs/1605.00802 (2016) - [i4]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
The reduced classical car-following model: stability analyses and design guidelines. CoRR abs/1607.08779 (2016) - 2015
- [j8]Hussam Ahmed, Krishna P. Jagannathan, Srikrishna Bhashyam:
Queue-Aware Optimal Resource Allocation for the LTE Downlink With Best M Subband Feedback. IEEE Trans. Wirel. Commun. 14(9): 4923-4933 (2015) - [c23]Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna P. Jagannathan:
Adaptive CSMA under the SINR model: Fast convergence through local gibbs optimization. Allerton 2015: 271-278 - [c22]Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
Car-following models with delayed feedback: Local stability and Hopf bifurcation. Allerton 2015: 538-545 - [c21]Harry Raymond Joseph, Gaurav Raina, Krishna P. Jagannathan:
Cost estimates for road congestion in Delhi: projections and recommendations. COMSNETS 2015: 1-6 - [c20]Vinod Sudheesh, Krishna P. Jagannathan, Srikrishna Bhashyam:
Distributed resource allocation for single-hop networks under the SINR model. COMSNETS 2015: 1-8 - [c19]Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna P. Jagannathan:
Spatial CSMA: A distributed scheduling algorithm for the SIR model with time-varying channels. NCC 2015: 1-6 - [i3]Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna P. Jagannathan:
Spatial CSMA: A Distributed Scheduling Algorithm for the SIR Model with Time-varying Channels. CoRR abs/1504.07825 (2015) - 2014
- [j7]Krishna P. Jagannathan, Mihalis G. Markakis, Eytan H. Modiano, John N. Tsitsiklis:
Throughput Optimal Scheduling Over Time-Varying Channels in the Presence of Heavy-Tailed Traffic. IEEE Trans. Inf. Theory 60(5): 2896-2909 (2014) - [c18]Ravi Kiran Raman, Krishna P. Jagannathan:
Downlink resource allocation under time-varying interference: Fairness and throughput optimality. Allerton 2014: 234-241 - [c17]Debayani Ghosh, Krishna P. Jagannathan, Gaurav Raina:
Right buffer sizing matters: Stability, queuing delay and traffic burstiness in compound TCP. Allerton 2014: 1132-1139 - [c16]Hussam Ahmed, Krishna P. Jagannathan, Srikrishna Bhashyam:
Fair scheduling with deadline guarantees in single-hop networks. COMSNETS 2014: 1-7 - [c15]Rahul Vaze, Krishna P. Jagannathan:
Finite-horizon optimal transmission policies for energy harvesting sensors. ICASSP 2014: 3518-3522 - [c14]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Information overload and human priority queuing. ISIT 2014: 831-835 - [i2]Rahul Vaze, Krishna P. Jagannathan:
Finite-Horizon Optimal Transmission Policies for Energy Harvesting Sensors. CoRR abs/1405.4657 (2014) - 2013
- [j6]Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano:
A State Action Frequency Approach to Throughput Maximization over Uncertain Wireless Channels. Internet Math. 9(2-3): 136-160 (2013) - [j5]Krishna P. Jagannathan, Eytan H. Modiano:
The Impact of Queue Length Information on Buffer Overflow in Parallel Queues. IEEE Trans. Inf. Theory 59(10): 6393-6404 (2013) - [c13]Hussam Ahmed, Krishna P. Jagannathan, Srikrishna Bhashyam:
Queue-aware optimal resource allocation for the LTE downlink. GLOBECOM 2013: 4122-4128 - [c12]Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman:
When heavy-tailed and light-tailed flows compete: The response time tail under generalized max-weight scheduling. INFOCOM 2013: 2976-2984 - [c11]Krishna P. Jagannathan, Libin Jiang, Palthya Lakshma Naik, Eytan H. Modiano:
Scheduling strategies to mitigate the impact of bursty traffic in wireless networks. WiOpt 2013: 468-475 - 2012
- [j4]Krishna P. Jagannathan, Ishai Menache, Eytan H. Modiano, Gil Zussman:
Non-Cooperative Spectrum Access - The Dedicated vs. Free Spectrum Choice. IEEE J. Sel. Areas Commun. 30(11): 2251-2261 (2012) - [j3]Krishna P. Jagannathan, Mihalis G. Markakis, Eytan H. Modiano, John N. Tsitsiklis:
Queue-Length Asymptotics for Generalized Max-Weight Scheduling in the Presence of Heavy-Tailed Traffic. IEEE/ACM Trans. Netw. 20(4): 1096-1111 (2012) - [c10]Krishna P. Jagannathan, Libin Jiang, Eytan H. Modiano:
On scheduling algorithms robust to heavy-tailed traffic. ITA 2012: 347-351 - 2011
- [j2]Krishna P. Jagannathan, Eytan H. Modiano, Lizhong Zheng:
On the Role of Queue Length Information in Network Control. IEEE Trans. Inf. Theory 57(9): 5884-5896 (2011) - [c9]Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano:
A state action frequency approach to throughput maximization over uncertain wireless channels. INFOCOM 2011: 491-495 - [c8]Krishna P. Jagannathan, Mihalis G. Markakis, Eytan H. Modiano, John N. Tsitsiklis:
Queue length asymptotics for generalized max-weight scheduling in the presence of heavy-tailed traffic. INFOCOM 2011: 2318-2326 - [c7]Krishna P. Jagannathan, Ishai Menache, Gil Zussman, Eytan H. Modiano:
Non-cooperative spectrum access: the dedicated vs. free spectrum choice. MobiHoc 2011: 10 - 2010
- [b1]Krishna Prasanna Jagannathan:
Asymptotic performance of queue length based network control policies. Massachusetts Institute of Technology, Cambridge, MA, USA, 2010 - [c6]Krishna Jagannathan, Mihalis G. Markakis, Eytan H. Modiano, John N. Tsitsiklis:
Throughput optimal scheduling in the presence of heavy-tailed traffic. Allerton 2010: 953-960 - [i1]Krishna P. Jagannathan, Mihalis G. Markakis, Eytan H. Modiano, John N. Tsitsiklis:
Queue Length Asymptotics for Generalized Max-Weight Scheduling in the presence of Heavy-Tailed Traffic. CoRR abs/1007.4286 (2010)
2000 – 2009
- 2009
- [c5]Krishna Jagannathan, Eytan H. Modiano:
The impact of queue length information on buffer overflow in parallel queues. Allerton 2009: 1103-1110 - [c4]Long Bao Le, Krishna P. Jagannathan, Eytan H. Modiano:
Delay analysis of maximum weight scheduling in wireless Ad Hoc networks. CISS 2009: 389-394 - [c3]Krishna Prasanna Jagannathan, Eytan H. Modiano, Lizhong Zheng:
On the Trade-Off Between Control Rate and Congestion in Single Server Systems. INFOCOM 2009: 271-279 - 2008
- [c2]Krishna Jagannathan, Eytan H. Modiano, Lizhong Zheng:
Effective resource allocation in a queue: How much control is necessary? Allerton 2008: 508-515 - 2007
- [j1]Krishna P. Jagannathan, Sem C. Borst, Philip A. Whiting, Eytan H. Modiano:
Scheduling of Multi-Antenna Broadcast Systems with Heterogeneous Users. IEEE J. Sel. Areas Commun. 25(7): 1424-1434 (2007) - 2006
- [c1]Krishna P. Jagannathan, Sem C. Borst, Philip A. Whiting, Eytan H. Modiano:
Efficient scheduling of multi-user multi-antenna systems. WiOpt 2006: 278-285
Coauthor Index
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