TY - GEN
T1 - Effects of channel estimation errors on in-band full-duplex MIMO radios using adaptive transmit spatial mitigation
AU - Bliss, Daniel
AU - Rong, Y.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - In-band (cochannel) full-duplex multiple-Input multiple-output (MIMO) radios employ independent transmit and receive antenna arrays to enable simultaneous transmission and reception. One of the most significant challenges is the mitigation of the radio's self-interference. While there are numerous issues, such as dynamic range, that limit the ability of the radio to mitigate the interference, in this paper effects associated with self-interference channel estimation are considered. In this paper, adaptive transmit processing is used to protect the radio's receive antenna array from self-interference. We develop bounds on post-mitigation self-interference residual to provide guidance on the amount of training required to effectively remove channel estimation as a limiting concern. To allow extending the system dynamic range beyond the dynamic range of the receiver, we consider using a training signal that is lower in transmit power than the data signal. As a specific example, the three-node relay problem is explored. Simulation results are presented to demonstrate the validity of the bound.
AB - In-band (cochannel) full-duplex multiple-Input multiple-output (MIMO) radios employ independent transmit and receive antenna arrays to enable simultaneous transmission and reception. One of the most significant challenges is the mitigation of the radio's self-interference. While there are numerous issues, such as dynamic range, that limit the ability of the radio to mitigate the interference, in this paper effects associated with self-interference channel estimation are considered. In this paper, adaptive transmit processing is used to protect the radio's receive antenna array from self-interference. We develop bounds on post-mitigation self-interference residual to provide guidance on the amount of training required to effectively remove channel estimation as a limiting concern. To allow extending the system dynamic range beyond the dynamic range of the receiver, we consider using a training signal that is lower in transmit power than the data signal. As a specific example, the three-node relay problem is explored. Simulation results are presented to demonstrate the validity of the bound.
UR - http://www.scopus.com/inward/record.url?scp=84901284082&partnerID=8YFLogxK
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U2 - 10.1109/ACSSC.2013.6810218
DO - 10.1109/ACSSC.2013.6810218
M3 - Conference contribution
AN - SCOPUS:84901284082
SN - 9781479923908
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 9
EP - 13
BT - Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PB - IEEE Computer Society
T2 - 2013 47th Asilomar Conference on Signals, Systems and Computers
Y2 - 3 November 2013 through 6 November 2013
ER -