TY - GEN
T1 - Reliable computation of nomographic functions over Gaussian multiple-access channels
AU - Goldenbaum, Mario
AU - Boche, Holger
AU - Stanczak, Slawomir
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper, a wireless sensor network is considered in which the objective is not to communicate individual sensor readings over a Gaussian multiple-access channel to a fusion center but rather to reliably compute some nomographic function thereof. Nomographic functions are exactly those multivariate functions that can be represented as a post-processed sum of pre-processed sensor readings. This special structure permits the utilization of the interference property of the Gaussian multiple-access channel for computing some nomographic functions at significantly higher rates than those achievable with traditional schemes. In this paper, a corresponding coding scheme is presented that protects the sum of pre-processed sensor readings against the channel noise by letting each node use the same nested lattice code.
AB - In this paper, a wireless sensor network is considered in which the objective is not to communicate individual sensor readings over a Gaussian multiple-access channel to a fusion center but rather to reliably compute some nomographic function thereof. Nomographic functions are exactly those multivariate functions that can be represented as a post-processed sum of pre-processed sensor readings. This special structure permits the utilization of the interference property of the Gaussian multiple-access channel for computing some nomographic functions at significantly higher rates than those achievable with traditional schemes. In this paper, a corresponding coding scheme is presented that protects the sum of pre-processed sensor readings against the channel noise by letting each node use the same nested lattice code.
KW - Distributed computation
KW - multiple-access channel
KW - nested lattice codes
KW - nomographic functions
KW - sensor networks
UR - https://www.scopus.com/pages/publications/84883801370
U2 - 10.1109/ICASSP.2013.6638575
DO - 10.1109/ICASSP.2013.6638575
M3 - Conference contribution
AN - SCOPUS:84883801370
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4814
EP - 4818
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -