| 2007 |
|---|
| 10 | EE | Dan Avidor,
Sayandev Mukherjee,
Furuzan Atay Onat:
Transmit Power Distribution of Wireless Ad Hoc Networks with Topology Control.
INFOCOM 2007: 46-52 |
| 2006 |
|---|
| 9 | EE | Dan Avidor,
Sayandev Mukherjee:
On the Occurrence of Dead-End Nodes in Geographic Forwarding.
VTC Fall 2006: 1-5 |
| 8 | EE | Dan Avidor,
Sayandev Mukherjee,
Jonathan Ling,
Constantinos B. Papadias:
On asymptotically fair transmission scheduling over fading channels with measurement delay.
IEEE Transactions on Wireless Communications 5(7): 1626-1633 (2006) |
| 2005 |
|---|
| 7 | | Sayandev Mukherjee:
Outage Probability with Maximal Ratio Combining and Switch-and-Stay Diversity.
Communication Systems and Applications 2005: 64-69 |
| 6 | EE | Suman Das,
Thierry E. Klein,
Sayandev Mukherjee,
Gee Rittenhouse,
Louis G. Samuel,
Harish Viswanathan,
Kin K. Leung,
Haitao Zheng:
Distributed paging and registration in wireless networks.
IEEE Network 19(5): 19-25 (2005) |
| 5 | EE | Angeliki Alexiou,
Dan Avidor,
Peter Bosch,
Suman Das,
Piyush Gupta,
Bertrand M. Hochwald,
Thierry E. Klein,
Jonathan Ling,
Angel Lozano,
Thomas L. Marzetta,
Sayandev Mukherjee,
Sape J. Mullender,
Constantinos B. Papadias,
Reinaldo A. Valenzuela,
Harish Viswanathan:
Duplexing, resource allocation and inter-cell coordination: design recommendations for next generation wireless systems.
Wireless Communications and Mobile Computing 5(1): 77-93 (2005) |
| 2004 |
|---|
| 4 | EE | Anindya Basu,
Brian Boshes,
Sayandev Mukherjee,
Sharad Ramanathan:
Network deformation: traffic-aware algorithms for dynamically reducing end-to-end delay in multi-hop wireless networks.
MOBICOM 2004: 100-113 |
| 2001 |
|---|
| 3 | | Dan Avidor,
Sayandev Mukherjee:
Hidden Issues in the Simulation of Fixed Wireless Systems.
Wireless Networks 7(2): 187-200 (2001) |
| 1999 |
|---|
| 2 | | Terrence Fine,
Sayandev Mukherjee:
Parameter Convergence and Learning Curves for Neural Networks.
Neural Computation 11(3): 747-769 (1999) |
| 1994 |
|---|
| 1 | EE | Sayandev Mukherjee,
Terrence Fine:
Asymptotics of Gradient-based Neural Network Training Algorithms.
NIPS 1994: 335-342 |
