TY - GEN
T1 - Signaling for MISO Channels Under First- and Second-Moment Constraints
AU - Ma, Shuai
AU - Moser, Stefan M.
AU - Wang, Ligong
AU - Wigger, Michèle
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Consider a multiple-input single-output system, where the nonnegative, peak-limited inputs X1, ⋯, Xn T ∈ [0, A] are subject to first- and second-moment sum-constraints on all antennas. The paper characterizes all probability distributions that can be induced for the "channel image,"which is given by the inner product of the input vector with a given channel vector. Key to this result is the description of input vectors that achieve a given deterministic channel image with the smallest energy, where "energy"of an input vector refers to a weighted sum of its one- and two-norms. Minimum-energy input vectors have an interesting structure: depending on the desired channel image, some of the weakest antennas are silenced, and the remaining antennas are chosen according to a shifted and amplitude-constrained beamforming rule.
AB - Consider a multiple-input single-output system, where the nonnegative, peak-limited inputs X1, ⋯, Xn T ∈ [0, A] are subject to first- and second-moment sum-constraints on all antennas. The paper characterizes all probability distributions that can be induced for the "channel image,"which is given by the inner product of the input vector with a given channel vector. Key to this result is the description of input vectors that achieve a given deterministic channel image with the smallest energy, where "energy"of an input vector refers to a weighted sum of its one- and two-norms. Minimum-energy input vectors have an interesting structure: depending on the desired channel image, some of the weakest antennas are silenced, and the remaining antennas are chosen according to a shifted and amplitude-constrained beamforming rule.
UR - https://www.scopus.com/pages/publications/85136248187
U2 - 10.1109/ISIT50566.2022.9834721
DO - 10.1109/ISIT50566.2022.9834721
M3 - Conference contribution
AN - SCOPUS:85136248187
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2648
EP - 2653
BT - 2022 IEEE International Symposium on Information Theory, ISIT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Symposium on Information Theory, ISIT 2022
Y2 - 26 June 2022 through 1 July 2022
ER -