Title: Novel Wireless User Cooperative Strategies Using Ideas from Channel Coding, Slepian-Wolf Coding and Network Coding
Authors: Tiffany Jing Li, Xingkai Bao, and Ruiyuan Hu (Poster I, 9)

ABSTRACT

We present three innovations for user cooperation in wireless relay networks using ideas from channel coding, Slepian-Wolf coding and network coding. The first is the proposition of a new message-forwarding mode, termed Decode-Amplitude-Forward (DAF), that exploits the complementary benefits of Decode-Forward (DF) and Amplify-Forward (AF): namely, coding gain in DF and soft date representation in AF. Theoretic analysis shows that the new strategy is particularly useful in the low SNR regime, where the capacity can be more than doubled compared to both DF and AF. The second innovation is the development of a practical and efficient Compress-Forward scheme, termed Slepian-Wolf (SW) Cooperation. The key idea is to estimate the correlation between the (noisy) packet available at the relay and the original packet at the source and to subsequently employ practical SW coding techniques to combat inter-user outage. We discuss a general framework, a simple but effective estimation strategy (for the relay) and an optimal joint decoding strategy (for the destination) for SW cooperation. The third innovation is the exploitation of Adaptive Network Coded Cooperation (ANCC) in wireless relay networks that comprises a set of nodes communicating to a common destination. We propose to match code-on-graph with network-on-graph to account to account for the dynamics in the link state and the network topology.