TY - GEN
T1 - A Practical Framework for Unsourced Integrated Sensing and Communication
AU - Ahmadi, Mohammad Javad
AU - Schaefer, Rafael F.
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - We consider the problem of integrated sensing and communication (ISAC) involving a massive number of users in an unsourced random access (URA) system, called unsourced ISAC (UNISAC). In UNISAC, there are two sets of communication and sensing users that transmit signals in a random-access way. Hence, the received signal of each user is heavily corrupted by interference from numerous other users, making it challenging to extract individual transmissions. UNISAC is designed to decode the message sequences from communication users while simultaneously detecting active sensing users and estimating their angles of arrivals, regardless of the senders' identities. We propose a practical model for UNISAC that demonstrates the feasibility of the approach, achieving performance comparable to-or even surpassing-known ISAC results in certain regimes while being lower in others.
AB - We consider the problem of integrated sensing and communication (ISAC) involving a massive number of users in an unsourced random access (URA) system, called unsourced ISAC (UNISAC). In UNISAC, there are two sets of communication and sensing users that transmit signals in a random-access way. Hence, the received signal of each user is heavily corrupted by interference from numerous other users, making it challenging to extract individual transmissions. UNISAC is designed to decode the message sequences from communication users while simultaneously detecting active sensing users and estimating their angles of arrivals, regardless of the senders' identities. We propose a practical model for UNISAC that demonstrates the feasibility of the approach, achieving performance comparable to-or even surpassing-known ISAC results in certain regimes while being lower in others.
UR - https://www.scopus.com/pages/publications/105016906059
UR - https://www.scopus.com/pages/publications/105016906059#tab=citedBy
U2 - 10.1109/SPAWC66079.2025.11143419
DO - 10.1109/SPAWC66079.2025.11143419
M3 - Conference contribution
AN - SCOPUS:105016906059
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, SPAWC 2025
Y2 - 7 July 2025 through 10 July 2025
ER -