TY - GEN
T1 - Per-Antenna Power Constrained Cooperative Beamforming in Distributed Relay Networks
AU - Venkataramani, Adarsh A.
AU - Ma, I. Owen
AU - Dutta, I. Arindam
AU - Holtom, Jacob
AU - Bliss, Daniel W.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We consider a bent-pipe, coherent distributed relay network that functions as an antenna array employing transmit beamforming to coherently combine a payload signal and reject interference. A traditional unconstrained minimum mean-square error (MMSE) beamformer can be employed to construct the beamformer, but the unconstrained optimization disregards the power limitations of individual elements. Deploying such a beamformer requires lowering the transmission power to avoid exceeding power limits, which reduces the achievable signal-to-interference-plus-noise ratio (SINR). In this paper, we develop a per-element power-constrained MMSE beamformer that simulta-neously maximizes the SINR. We formulate this construction as a biconvex program and solve it using interior point and alternating proximal method. We demonstrate through simulations that this method produces beamformers that achieve signal-to-noise ratio (SNR) improvements and interference rejection (INR) capabilities comparable to unconstrained MMSE beamformers but with improved achievable SINR.
AB - We consider a bent-pipe, coherent distributed relay network that functions as an antenna array employing transmit beamforming to coherently combine a payload signal and reject interference. A traditional unconstrained minimum mean-square error (MMSE) beamformer can be employed to construct the beamformer, but the unconstrained optimization disregards the power limitations of individual elements. Deploying such a beamformer requires lowering the transmission power to avoid exceeding power limits, which reduces the achievable signal-to-interference-plus-noise ratio (SINR). In this paper, we develop a per-element power-constrained MMSE beamformer that simulta-neously maximizes the SINR. We formulate this construction as a biconvex program and solve it using interior point and alternating proximal method. We demonstrate through simulations that this method produces beamformers that achieve signal-to-noise ratio (SNR) improvements and interference rejection (INR) capabilities comparable to unconstrained MMSE beamformers but with improved achievable SINR.
KW - Biconvex program
KW - Constrained Beamforming
KW - Cooperative Beamforming
KW - Distributed Relays
KW - Per-Antenna Constrained Beamforming
UR - http://www.scopus.com/inward/record.url?scp=85190383603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190383603&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF59524.2023.10476824
DO - 10.1109/IEEECONF59524.2023.10476824
M3 - Conference contribution
AN - SCOPUS:85190383603
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 559
EP - 565
BT - Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Y2 - 29 October 2023 through 1 November 2023
ER -