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, while still using the conventional off-the-shelf channel codes.
Joint work with Seok-Ki Ahn, Bernd Bandemer, Chiao-Yi Chen, Abbas El Gamal, Kwang Taik Kim, Hosung Park, Eren Sasoglu, and Lele Wang.