Noisy Network Coding

被引:283
作者
Lim, Sung Hoon [1 ]
Kim, Young-Han [2 ]
El Gamal, Abbas [3 ]
Chung, Sae-Young [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Elect Engn, Taejon 305701, South Korea
[2] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
[3] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
Compress-forward; discrete memoryless network; Gaussian network; interference relay channel; network coding; noisy network coding; relaying; two-way relay channel; INTERFERENCE CHANNEL; BROADCAST CHANNELS; CAPACITY THEOREMS; ACHIEVABLE RATE; RELAY NETWORKS; INFORMATION; REGION; FLOW;
D O I
10.1109/TIT.2011.2119930
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A noisy network coding scheme for communicating messages between multiple sources and destinations over a general noisy network is presented. For multi-message multicast networks, the scheme naturally generalizes network coding over noiseless networks by Ahlswede, Cai, Li, and Yeung, and compress-forward coding for the relay channel by Cover and El Gamal to discrete memoryless and Gaussian networks. The scheme also extends the results on coding for wireless relay networks and deterministic networks by Avestimehr, Diggavi, and Tse, and coding for wireless erasure networks by Dana, Gowaikar, Palanki, Hassibi, and Effros. The scheme involves lossy compression by the relay as in the compress-forward coding scheme for the relay channel. However, unlike previous compress-forward schemes in which independent messages are sent over multiple blocks, the same message is sent multiple times using independent codebooks as in the network coding scheme for cyclic networks. Furthermore, the relays do not use Wyner-Ziv binning as in previous compress-forward schemes, and each decoder performs simultaneous decoding of the received signals from all the blocks without uniquely decoding the compression indices. A consequence of this new scheme is that achievability is proved simply and more generally without resorting to time expansion to extend results for acyclic networks to networks with cycles. The noisy network coding scheme is then extended to general multi-message networks by combining it with decoding techniques for the interference channel. For the Gaussian multicast network, noisy network coding improves the previously established gap to the cutset bound. We also demonstrate through two popular Gaussian network examples that noisy network coding can outperform conventional compress-forward, amplify-forward, and hash-forward coding schemes.
引用
收藏
页码:3132 / 3152
页数:21
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