Self-Interference Cancellation in Multi-hop Full-Duplex Networks via Structured Signaling
Evan Everett, Debashis Dash, Chris Dick, Ashutosh Sabharawal
备注:
Draft of the paper to be presented at the Allerton Conference on Sept 29, 2011; Proc. 49th Annual Allerton Conference on Communication, Control, and Computing, September 2011
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.
Sharing the spectrum with in-band full-duplex (FD) primary users (PU) is a challenging and interesting problem in the underlay cognitive radio (CR) systems. The self-interference introduced at the primary network may dramatically impede the secondary user (SU) opportunity to access the spectrum. To tackle this problem, we use the so-called improper Gaussian signaling. Particularly, we assume a system with a SU pair working in a half-duplex mode that uses improper Gaussian signaling while the FD PU pair implements the regular proper Gaussian signaling. First, we derive a closed form expression …
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İstanbul Technical University(伊斯坦布尔理工大学);Zhejiang University(浙江大学);Balıkesir University(巴勒克埃西尔大学);Carleton University(卡尔顿大学)
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