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point-to-point_codes_for_interference_channels_a_journey_toward_high_performance_at_low_complexity

Point-to-point codes for interference channels: A journey toward high performance at low complexity

Abstract:
For high data rates and massive connectivity, the next-generation cellular networks are expected to deploy many small base stations. While such dense deployment provides the benefit of bringing radio closer to end users, it also increases the amount of interference from neighboring cells. Consequently, smart management of interference would become one of the key enabling technologies for high-spectral-efficiency, low-power, broad-coverage wireless communication.

In this talk, we discuss recent developments in channel coding techniques for interference channels, primarily focusing on the sliding-window superposition coding scheme. This coding scheme achieves the performance of simultaneous decoding with point-to-point channel codes and low-complexity decoding. Simulation results demonstrate that sliding-window superposition coding can sometimes double the performance of the conventional method of treating interference as noise, still using the standard LTE turbo codes.

Joint work with Bernd Bandemer, Chiao-Yi Chen, Abbas El Gamal, Hosung Park, Eren Sasoglu, and Lele Wang.

Bio:
Young-Han Kim received his B.S. degree in Electrical Engineering from Seoul National University in 1996 and his Ph.D. degree in Electrical Engineering (M.S. degrees in Statistics and in Electrical Engineering) from Stanford University in 2006. Since then, he has been a faculty member in the Department of Electrical and Computer Engineering at the University of California, San Diego. Professor Kim is a recipient of the 2008 NSF CAREER Award and the 2012 IEEE Information Theory Paper Award. He was a Distinguished Lecturer of the IEEE Information Theory Society during 2012 and 13.

point-to-point_codes_for_interference_channels_a_journey_toward_high_performance_at_low_complexity.txt · Last modified: 2016/09/01 19:15 (external edit)