Kavli Affiliate: Feng Wang
| First 5 Authors: Xianxin Song, Yuan Fang, Feng Wang, Zixiang Ren, Xianghao Yu
| Summary:
This paper presents an overview on intelligent reflecting surface
(IRS)-enabled sensing and communication for the forthcoming sixth-generation
(6G) wireless networks, in which IRSs are strategically deployed to proactively
reconfigure wireless environments to improve both sensing and communication
(S&C) performance. First, we exploit a single IRS to enable wireless sensing in
the base station’s (BS’s) non-line-of-sight (NLoS) area. In particular, we
present three IRS-enabled NLoS target sensing architectures with fully-passive,
semi-passive, and active IRSs, respectively. We compare their pros and cons by
analyzing the fundamental sensing performance limits for target detection and
parameter estimation. Next, we consider a single IRS to facilitate integrated
sensing and communication (ISAC), in which the transmit signals at the BS are
used for achieving both S&C functionalities, aided by the IRS through
reflective beamforming. We present joint transmit signal and receiver
processing designs for realizing efficient ISAC, and jointly optimize the
transmit beamforming at the BS and reflective beamforming at the IRS to balance
the fundamental performance tradeoff between S&C. Furthermore, we discuss
multi-IRS networked ISAC, by particularly focusing on multi-IRS-enabled
multi-link ISAC, multi-region ISAC, and ISAC signal routing, respectively.
Finally, we highlight various promising research topics in this area to
motivate future work.
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