Distributed Detection and Bandwidth Allocation With Hybrid Quantized and Full-Precision Observations Over Multiplicative Fading Channels

TY - JOUR

T1 - Distributed Detection and Bandwidth Allocation With Hybrid Quantized and Full-Precision Observations Over Multiplicative Fading Channels

AU - Mao, Linlin

AU - Sui, Zeping

AU - Matthaiou, Michail

AU - Li, Hongbin

N1 - Publisher Copyright: © 2025 IEEE.

PY - 2026/6/1

Y1 - 2026/6/1

N2 - A hybrid detector that fuses both quantized and full-precision observations is proposed for weak signal detection under additive and multiplicative Gaussian noise. We first derive a locally most powerful test (LMPT)-based hybrid detector from the composite probability distribution of the compound observations received by the fusion center, and then analyze its asymptotic detection performance. Subsequently, we optimize the sensor-wise quantization thresholds to achieve near-optimal asymptotic performance at the local sensor level. Moreover, we propose a mixed-integer linear programming approach to solve the optimization problem of transmission bandwidth allocation accounting for bandwidth constraints and error-prone channels. Finally, simulation results demonstrate the superiority of the proposed hybrid detector and the bandwidth allocation strategy, especially in challenging error-prone channel conditions.

AB - A hybrid detector that fuses both quantized and full-precision observations is proposed for weak signal detection under additive and multiplicative Gaussian noise. We first derive a locally most powerful test (LMPT)-based hybrid detector from the composite probability distribution of the compound observations received by the fusion center, and then analyze its asymptotic detection performance. Subsequently, we optimize the sensor-wise quantization thresholds to achieve near-optimal asymptotic performance at the local sensor level. Moreover, we propose a mixed-integer linear programming approach to solve the optimization problem of transmission bandwidth allocation accounting for bandwidth constraints and error-prone channels. Finally, simulation results demonstrate the superiority of the proposed hybrid detector and the bandwidth allocation strategy, especially in challenging error-prone channel conditions.

KW - Bandwidth allocation

KW - distributed sensor networks

KW - hybrid detection

KW - multiplicative fading

UR - https://www.scopus.com/pages/publications/105025711836

UR - https://www.scopus.com/pages/publications/105025711836#tab=citedBy

U2 - 10.1109/TVT.2025.3644870

DO - 10.1109/TVT.2025.3644870

M3 - Article

SN - 0018-9545

VL - 75

SP - 11710

EP - 11715

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 6

ER -