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2020 – today
- 2024
- [j51]Shivangi Dubey Sharma
, Ketan Rajawat
Optimized Gradient Tracking for Decentralized Online Learning. IEEE Trans. Signal Process. 72: 1443-1459 (2024) - [c49]Aakash Sunil Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel:
Sharpened Lazy Incremental Quasi-Newton Method. AISTATS 2024: 4735-4743 - 2023
- [j50]Srujan Teja Thomdapu
Stochastic Compositional Gradient Descent Under Compositional Constraints. IEEE Trans. Signal Process. 71: 1115-1127 (2023) - [j49]Spandan Senapati
Proximal Algorithms for Smoothed Online Convex Optimization With Predictions. IEEE Trans. Signal Process. 71: 3442-3457 (2023) - [c48]Prateek Priyaranjan Pradhan, Arijit Sen, Mangal Kothari, Ketan Rajawat:
Distributed Optimisation under a Weight-unbalanced Digraph. ICARA 2023: 379-384 - [i34]Yogesh Darmwal, Ketan Rajawat:
Low-complexity subspace-descent over symmetric positive definite manifold. CoRR abs/2305.02041 (2023) - [i33]Aakash Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel:
Sharpened Lazy Incremental Quasi-Newton Method. CoRR abs/2305.17283 (2023) - [i32]Shivangi Dubey Sharma, Ketan Rajawat:
Optimized Gradient Tracking for Decentralized Online Learning. CoRR abs/2306.06375 (2023) - 2022
- [j48]Mohan Krishna Nutalapati
A generalized framework for autonomous calibration of wheeled mobile robots. Robotics Auton. Syst. 158: 104262 (2022) - [j47]Charul Paliwal
Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering. IEEE Trans. Intell. Transp. Syst. 23(5): 4674-4684 (2022) - [j46]Amrit Singh Bedi
Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. 70: 307-321 (2022) - [j45]Zeeshan Akhtar
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. IEEE Trans. Signal Process. 70: 2119-2135 (2022) - [j44]Abhishek Chakraborty
Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent. IEEE Trans. Signal Process. 70: 3148-3164 (2022) - [j43]Zeeshan Akhtar
Projection-Free Stochastic Bi-Level Optimization. IEEE Trans. Signal Process. 70: 6332-6347 (2022) - [c47]Hrusikesha Pradhan, Ketan Rajawat:
A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning. IEEECONF 2022: 1281-1285 - [c46]Hrusikesha Pradhan, Alec Koppel, Ketan Rajawat:
On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection. ICASSP 2022: 4168-4172 - [c45]Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - [c44]Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari:
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. ICML 2022: 10228-10250 - [i31]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - 2021
- [j42]Srujan Teja Thomdapu, Palash Katiyar, Ketan Rajawat:
Dynamic cache management in content delivery networks. Comput. Networks 187: 107822 (2021) - [j41]Alec Koppel
Consistent online Gaussian process regression without the sample complexity bottleneck. Stat. Comput. 31(6): 76 (2021) - [j40]Javed Akhtar
Joint User and Antenna Selection in Massive-MIMO Systems With QoS-Constraints. IEEE Syst. J. 15(1): 497-508 (2021) - [j39]Rishabh Dixit
Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm. IEEE Trans. Autom. Control. 66(11): 5065-5079 (2021) - [j38]Ruchi Tripathi
Adaptive Network Latency Prediction From Noisy Measurements. IEEE Trans. Netw. Serv. Manag. 18(1): 807-821 (2021) - [j37]Hrusikesha Pradhan
Adaptive Kernel Learning in Heterogeneous Networks. IEEE Trans. Signal Inf. Process. over Networks 7: 423-437 (2021) - [j36]Amrit Singh Bedi
Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning. IEEE Trans. Signal Process. 69: 428-442 (2021) - [j35]Deepak S. Kalhan, Amrit Singh Bedi
Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. 69: 932-947 (2021) - [j34]Zeeshan Akhtar
Conservative Stochastic Optimization With Expectation Constraints. IEEE Trans. Signal Process. 69: 3190-3205 (2021) - [j33]Basil M. Idrees
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation. IEEE Trans. Signal Process. 69: 4177-4191 (2021) - [c43]Abhishek Chakraborty
Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space. ACSCC 2021: 1008-1012 - [c42]Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation. ACC 2021: 2224-2229 - [c41]Zeeshan Akhtar, Ketan Rajawat:
Momentum based Projection Free Stochastic Optimization Under Affine Constraints. ACC 2021: 2619-2624 - [c40]Srujan Teja Thomdapu, Ketan Rajawat:
Optimizing QoS for Erasure-Coded Wireless Data Centers. ICC 2021: 1-6 - [c39]Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney:
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS 2021: 6050-6061 - [i30]Srujan Teja Thomdapu, Ketan Rajawat:
Optimizing QoS for Erasure-Coded Wireless Data Centers. CoRR abs/2102.01914 (2021) - [i29]Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney:
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR abs/2106.10435 (2021) - [i28]Zeeshan Akhtar, Ketan Rajawat:
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. CoRR abs/2107.06534 (2021) - [i27]Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat:
Projection-Free Algorithm for Stochastic Bi-level Optimization. CoRR abs/2110.11721 (2021) - 2020
- [j32]Lakshmi J. Mohan, Ketan Rajawat, Udaya Parampalli, Aaron Harwood:
Optimal placement for repair-efficient erasure codes in geo-diverse storage centres. J. Parallel Distributed Comput. 135: 101-113 (2020) - [j31]Alec Koppel
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. 37(3): 61-70 (2020) - [j30]Chirag Kumar
Network Dissensus via Distributed ADMM. IEEE Trans. Signal Process. 68: 2287-2301 (2020) - [j29]Mohan Krishna Nutalapati
Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments. IEEE Trans. Signal Process. 68: 4824-4838 (2020) - [j28]Hrusikesha Pradhan
Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying. IEEE Trans. Signal Process. 68: 5488-5503 (2020) - [c38]Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. ACSSC 2020: 53-57 - [c37]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC 2020: 321-326 - [c36]Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta
Projection Free Dynamic Online Learning. ICASSP 2020: 3957-3961 - [c35]Lijanshu Sinha, Ketan Rajawat, Chirag Kumar:
SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems. NCC 2020: 1-5 - [c34]Harsha Vardhan, Ruchi Tripathi, Ketan Rajawat:
Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion. SPCOM 2020: 1-5 - [i26]Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde:
A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots. CoRR abs/2001.01555 (2020) - [i25]Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat:
Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck. CoRR abs/2004.11094 (2020) - [i24]Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney:
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. CoRR abs/2005.00224 (2020) - [i23]Srujan Teja Thomdapu, Palash Katiyar, Ketan Rajawat:
Dynamic Cache Management In Content Delivery Networks. CoRR abs/2005.11923 (2020) - [i22]Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization with Expectation Constraints. CoRR abs/2008.05758 (2020) - [i21]Basil M. Idrees, Javed Akhtar, Ketan Rajawat:
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation. CoRR abs/2010.01360 (2020) - [i20]Abhishek Chakraborty, Ketan Rajawat, Alec Koppel:
Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent. CoRR abs/2011.07142 (2020) - [i19]Shuubham Ojha, Ketan Rajawat:
Distributed Optimisation With Communication Delays. CoRR abs/2011.13419 (2020) - [i18]Ketan Rajawat, Chirag Kumar:
A Primal-Dual Framework for Decentralized Stochastic Optimization. CoRR abs/2012.04402 (2020) - [i17]Srujan Teja Thomdapu, Harshvardhan, Ketan Rajawat:
Stochastic Compositional Gradient Descent under Compositional constraints. CoRR abs/2012.09400 (2020)
2010 – 2019
- 2019
- [j27]Srujan Teja Thomdapu
Optimal Design of Queuing Systems via Compositional Stochastic Programming. IEEE Trans. Commun. 67(12): 8460-8474 (2019) - [j26]Amrit Singh Bedi
Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints. IEEE Trans. Signal Inf. Process. over Networks 5(3): 479-494 (2019) - [j25]Rishabh Dixit
Online Learning With Inexact Proximal Online Gradient Descent Algorithms. IEEE Trans. Signal Process. 67(5): 1338-1352 (2019) - [j24]Amrit Singh Bedi
Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks. IEEE Trans. Signal Process. 67(7): 1742-1757 (2019) - [j23]Chirag Kumar
Dictionary-Based Statistical Fingerprinting for Indoor Localization. IEEE Trans. Veh. Technol. 68(9): 8827-8841 (2019) - [c33]Chirag Kumar, Ketan Rajawat:
Network Dissensus via Distributed ADMM. ACSSC 2019: 2191-2195 - [c32]Alec Koppel, Amrit S. Bedi, Ketan Rajawat:
Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels. ACC 2019: 3519-3525 - [c31]Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat, Alec Koppel:
Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent. CDC 2019: 2745-2751 - [c30]Charul, Uttkarsha Bhatt, Pravesh Biyani, Ketan Rajawat:
Online Variational Bayesian Subspace Filtering. ICASSP 2019: 5057-5061 - [c29]Srujan Teja Thomdapu, Ketan Rajawat:
Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. ICC 2019: 1-7 - [c28]Mohan Krishna Nutalapati, Shruti Joshi, Ketan Rajawat:
Online Utility-Optimal Trajectory Design for Time-Varying Ocean Environments. ICRA 2019: 6853-6859 - [c27]Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde:
Model Free Calibration of Wheeled Robots Using Gaussian Process. IROS 2019: 29-35 - [c26]Javed Akhtar
Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems. WCNC Workshops 2019: 1-6 - [i16]Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat:
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. CoRR abs/1905.07018 (2019) - [i15]Srujan Teja Thomdapu, Ketan Rajawat:
Optimal Design of Queuing Systems via Compositional Stochastic Programming. CoRR abs/1907.08774 (2019) - [i14]Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar:
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I. CoRR abs/1907.08969 (2019) - [i13]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR abs/1909.05442 (2019) - [i12]Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning. CoRR abs/1909.11555 (2019) - [i11]Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde:
Model Free Calibration of Wheeled Robots Using Gaussian Process. CoRR abs/1910.11917 (2019) - [i10]Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney:
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. CoRR abs/1912.06036 (2019) - 2018
- [j22]Meher Preetam Korukonda, Swaroop Ranjan Mishra, Ketan Rajawat, Laxmidhar Behera:
Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems. IET Cyper-Phys. Syst.: Theory & Appl. 3(1): 54-62 (2018) - [j21]Amrit S. Bedi
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. IEEE J. Sel. Top. Signal Process. 12(1): 202-217 (2018) - [j20]Amrit Singh Bedi
Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate. IEEE Trans. Commun. 66(5): 2107-2121 (2018) - [j19]Amrit S. Bedi
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. IEEE Trans. Signal Process. 66(9): 2229-2244 (2018) - [j18]Javed Akhtar
Distributed Sequential Estimation in Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 17(1): 86-100 (2018) - [c25]Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta
On Socially Optimal Traffic Flow in the Presence of Random Users. ANTS 2018: 1-6 - [c24]Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi
Time Varying optimization via Inexact Proximal Online Gradient Descent. ACSSC 2018: 759-763 - [c23]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Asynchronous Saddle Point Method: Interference Management Through Pricing. CDC 2018: 3229-3235 - [c22]Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Exact Nonparametric Decentralized Online Optimization. GlobalSIP 2018: 643-647 - [c21]Amrit Singh Bedi, Paban Sarma, Ketan Rajawat:
Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. ICASSP 2018: 2881-2885 - [c20]Amrit S. Bedi, Ketan Rajawat, Marceau Coupechoux:
An Online Approach to D2D Trajectory Utility Maximization Problem. INFOCOM 2018: 1610-1618 - [c19]Javed Akhtar
QOS-Based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems. SPAWC 2018: 1-5 - [c18]Amrit Singh Bedi, Hrusikesha Pradhan, Ketan Rajawat:
Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis. SPCOM 2018: 402-406 - [c17]Ruchi Tripathi
Dynamic Network Latency Prediction with Adaptive Matrix Completion. SPCOM 2018: 407-411 - [c16]Amrit Singh Bedi, Ketan Rajawat:
Wireless network optimization via stochastic sub-gradient descent: Rate analysis. WCNC 2018: 1-6 - [i9]Srujan Teja Thomdapu, Ketan Rajawat:
Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. CoRR abs/1810.03373 (2018) - [i8]Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat:
On Socially Optimal Traffic Flow in the Presence of Random Users. CoRR abs/1810.07934 (2018) - 2017
- [j17]Sandeep Kumar, Rahul Jain, Ketan Rajawat
Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM. IEEE Trans. Signal Inf. Process. over Networks 3(1): 114-129 (2017) - [j16]Ketan Rajawat, Sandeep Kumar:
Stochastic Multidimensional Scaling. IEEE Trans. Signal Inf. Process. over Networks 3(2): 360-375 (2017) - [j15]Ruchi Tripathi
Adaptive Low-Rank Matrix Completion. IEEE Trans. Signal Process. 65(14): 3603-3616 (2017) - [c15]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Beyond consensus and synchrony in decentralized online optimization using saddle point method. ACSSC 2017: 293-297 - [c14]Amrit S. Bedi, Ketan Rajawat:
Asynchronous resource allocation in distributed heterogeneous networks. ICC 2017: 1-7 - [c13]Amrit S. Bedi, Md. Waseem Ahmad
Optimal utilization of storage systems under real-time pricing. ICC Workshops 2017: 1141-1146 - [c12]Sandeep Kumar, Ketan Rajawat:
Distributed asynchronous localization over WSNs via non-convex consensus ADMM. NCC 2017: 1-6 - 2016
- [j14]Amrit S. Bedi, Javed Akhtar
BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix. IEEE Commun. Lett. 20(2): 280-283 (2016) - [j13]Sanket S. Kalamkar
Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks. IEEE Trans. Commun. 64(8): 3246-3261 (2016) - [j12]Sandeep Kumar, Raju Kumar, Ketan Rajawat:
Cooperative Localization of Mobile Networks Via Velocity-Assisted Multidimensional Scaling. IEEE Trans. Signal Process. 64(7): 1744-1758 (2016) - [c11]Sandeep Kumar, Ketan Rajawat:
Distributed interference alignment for MIMO cellular network via consensus ADMM. GlobalSIP 2016: 460-464 - [c10]Javed Akhtar
BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP. GLOBECOM 2016: 1-6 - [i7]Sandeep Kumar, Rahul Jain, Ketan Rajawat:
Asynchronous Optimization Over Heterogeneous Networks via Consensus ADMM. CoRR abs/1605.00076 (2016) - [i6]Sanket S. Kalamkar, Jeya Pradha Jeyaraj, Adrish Banerjee, Ketan Rajawat:
Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks. CoRR abs/1606.03665 (2016) - [i5]Ketan Rajawat, Sandeep Kumar:
Stochastic Multidimensional Scaling. CoRR abs/1612.07089 (2016) - 2015
- [j11]Palash Katiyar, Ketan Rajawat:
Channel-Aware Medium Access Control in Multichannel Cognitive Radio Networks. IEEE Commun. Lett. 19(10): 1710-1713 (2015) - [j10]Gaurav Kapoor, Ketan Rajawat:
Outlier-aware cooperative spectrum sensing in cognitive radio networks. Phys. Commun. 17: 118-127 (2015) - [c9]Rahul R. Singh, Ketan Rajawat:
Online precoder design for parameter tracking in wireless sensor networks. PIMRC 2015: 2061-2065 - [c8]Sandeep Kumar, Ketan Rajawat:
Velocity-assisted multidimensional scaling. SPAWC 2015: 570-574 - 2014
- [j9]Ketan Rajawat, Emiliano Dall'Anese
Dynamic Network Delay Cartography. IEEE Trans. Inf. Theory 60(5): 2910-2920 (2014) - [j8]Pedro A. Forero, Ketan Rajawat, Georgios B. Giannakis
Prediction of Partially Observed Dynamical Processes Over Networks via Dictionary Learning. IEEE Trans. Signal Process. 62(13): 3305-3320 (2014) - [c7]Ankit Jalan, Ketan Rajawat, Rajesh M. Hegde:
New encoding schemes for efficient multilingual text messaging. NCC 2014: 1-6 - 2013
- [j7]Gonzalo Mateos
Dynamic Network Cartography: Advances in Network Health Monitoring. IEEE Signal Process. Mag. 30(3): 129-143 (2013) - 2012
- [j6]Ketan Rajawat, Alfonso Cano, Georgios B. Giannakis
Network-Compressive Coding for Wireless Sensors with Correlated Data. IEEE Trans. Wirel. Commun. 11(12): 4264-4274 (2012) - [c6]Pedro A. Forero, Ketan Rajawat, Georgios B. Giannakis
Semi-supervised dictionary learning for network-wide link load prediction. CIP 2012: 1-5 - [c5]Ketan Rajawat, Emiliano Dall'Anese
Dynamic network kriging. SSP 2012: 121-124 - [i4]Ketan Rajawat, Emiliano Dall'Anese, Georgios B. Giannakis:
Dynamic Network Delay Cartography. CoRR abs/1204.5507 (2012) - [i3]Gonzalo Mateos, Ketan Rajawat:
Dynamic Network Cartography. CoRR abs/1211.6950 (2012) - 2011
- [j5]Ketan Rajawat, Nikolaos Gatsis, Seung-Jun Kim, Georgios B. Giannakis
Cross-Layer Design of Coded Multicast for Wireless Random Access Networks. IEEE J. Sel. Areas Commun. 29(10): 1970-1980 (2011) - [j4]Ketan Rajawat, Nikolaos Gatsis, Georgios B. Giannakis
Cross-Layer Designs in Coded Wireless Fading Networks With Multicast. IEEE/ACM Trans. Netw. 19(5): 1276-1289 (2011) - [j3]Ketan Rajawat, Georgios B. Giannakis
Joint Scheduling and Network Coding for Multicast in Delay-Constrained Wireless Networks. IEEE Trans. Signal Process. 59(12): 6186-6196 (2011) - [c4]Ketan Rajawat, Emiliano Dall'Anese
Joint rate and power control for coded cognitive radio networks. ACSCC 2011: 1638-1642 - [c3]Ketan Rajawat, Nikolaos Gatsis, Seung-Jun Kim, Georgios B. Giannakis
Cross-layer design of coded multicast for wireless random access networks. CISS 2011: 1-6 - 2010
- [j2]Ketan Rajawat, Ajit Kumar Chaturvedi:
Near optimal training sequences for low complexity symbol timing estimation in MIMO systems. IEEE Trans. Commun. 58(1): 281-288 (2010) - [i2]Ketan Rajawat, Nikolaos Gatsis, Georgios B. Giannakis:
Cross-Layer Designs in Coded Wireless Fading Networks with Multicast. CoRR abs/1003.5239 (2010)
2000 – 2009
- 2009
- [c2]Ketan Rajawat, Tairan Wang, Georgios B. Giannakis
An algebraic polyphase approach to wireless network coding. ICASSP 2009: 2441-2444 - 2007
- [c1]Ketan Rajawat, Ajit Kumar Chaturvedi:
Non-Data Aided Symbol Timing Estimation in MIMO Systems. ICC 2007: 5455-5461 - [i1]Ketan Rajawat, Adrish Banerjee:
Selection Relaying at Low Signal to Noise Ratios. CoRR abs/0707.0234 (2007) - 2006
- [j1]Ketan Rajawat, Ajit Kumar Chaturvedi:
A low complexity symbol timing estimator for MIMO systems using two samples per symbol. IEEE Commun. Lett. 10(7): 525-527 (2006)
Coauthor Index
Amrit S. Bedi
aka: Amrit Singh Bedi
aka: Amrit Singh Bedi
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