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Main Authors: Yılmaz, Gökhan, Lampel, Franz, Joudeh, Hamdi, Caire, Giuseppe
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.26365
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author Yılmaz, Gökhan
Lampel, Franz
Joudeh, Hamdi
Caire, Giuseppe
author_facet Yılmaz, Gökhan
Lampel, Franz
Joudeh, Hamdi
Caire, Giuseppe
contents We study a joint communication and sensing setting comprising a transmitter, a receiver, and a sensor, all equipped with multiple antennas. The transmitter sends an encoded signal over the channel with the dual purpose of communicating an information message to the receiver, and enabling the sensor to estimate a target parameter vector by generating back-scattered signals. We assume that the transmitter and sensor are co-located, or fully connected, giving the latter access to the transmitted signal. The target parameter vector is randomly drawn from a continuous distribution, yet remains fixed throughout the transmission block. We establish the fundamental performance trade-off between the communication and sensing tasks, captured in terms of a capacity-MSE function. In doing so, we identify optimal coding schemes for this multi-antenna joint communication and sensing setting. Moreover, we particularize our result to two practically-inspired scenarios where we showcase optimal schemes and trade-offs.
format Preprint
id arxiv_https___arxiv_org_abs_2509_26365
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Joint Communication and Parameter Estimation in MIMO Channels
Yılmaz, Gökhan
Lampel, Franz
Joudeh, Hamdi
Caire, Giuseppe
Information Theory
We study a joint communication and sensing setting comprising a transmitter, a receiver, and a sensor, all equipped with multiple antennas. The transmitter sends an encoded signal over the channel with the dual purpose of communicating an information message to the receiver, and enabling the sensor to estimate a target parameter vector by generating back-scattered signals. We assume that the transmitter and sensor are co-located, or fully connected, giving the latter access to the transmitted signal. The target parameter vector is randomly drawn from a continuous distribution, yet remains fixed throughout the transmission block. We establish the fundamental performance trade-off between the communication and sensing tasks, captured in terms of a capacity-MSE function. In doing so, we identify optimal coding schemes for this multi-antenna joint communication and sensing setting. Moreover, we particularize our result to two practically-inspired scenarios where we showcase optimal schemes and trade-offs.
title Joint Communication and Parameter Estimation in MIMO Channels
topic Information Theory
url https://arxiv.org/abs/2509.26365