Self-interference cancellation in multi-hop full-duplex networks via structured signaling
Self-interference cancellation in multi-hop full-duplex networks via structured signaling
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DOI：
10.1109/allerton.2011.6120362
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
E. Everett;D. Dash;C. Dick;A. Sabharwal
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文献类型：
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作者：
E. Everett;D. Dash;C. Dick;A. Sabharwal
本文讨论了在节点以全双工方式通信的多跳无线网络中处理自干扰问题的传输策略。对这种最简单的多跳网络：两跳源-中继-目的网络的信息论研究，导致了一种称为结构化自干扰抵消(或简称结构化抵消)的新的传输策略。在结构化消除策略中，信源限制在某些信号电平上传输，并且中继器构造其传输信号，使得它可以通过观察出现在信源留空的信号电平上的它自己的传输信号的部分来学习剩余的自干扰信道，并取消自干扰。结果表明，在一定的非平凡条件下，结构化抵消策略的性能不仅优于半双工方案，而且优于使用时间正交训练来估计剩余自干扰信道的全双工方案。
This paper discusses transmission strategies for dealing with the problem of self-interference in multi-hop wireless networks in which the nodes communicate in a full-duplex mode. An information theoretic study of the simplest such multi-hop network: the two-hop source-relay-destination network, leads to a novel transmission strategy called structured self-interference cancellation (or just “structured cancellation” for short). In the structured cancellation strategy the source restrains from transmitting on certain signal levels, and the relay structures its transmit signal such that it can learn the residual self-interference channel, and undo the self-interference, by observing the portion of its own transmit signal that appears at the signal levels left empty by the source. It is shown that in certain nontrivial regimes, the structured cancellation strategy outperforms not only half-duplex but also full-duplex schemes in which time-orthogonal training is used for estimating the residual self-interference channel.