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Spreading CDMA via RIS: Multipath Separation, Estimation, and Combination
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AI
DOI：10.1109/JIOT.2023.3242864.png)
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Abstract
En 中文
As a revolutionary technology for future wireless communications, reconfigurable intelligent surface (RIS), characterized by an efficient way of manipulating wireless signals, has been widely investigated in recent years toward enhancing signal quality, energy efficiency, throughput, and so on. However, in RIS-assisted Internet of Things (IoT), a new issue as multipath separation emerges, especially, when deploying multiple RISs to assist communication, since the devices may have limited signal processing capabilities. For alleviating this problem, we conceive a novel RIS-enabled code-division multiple access (CDMA) structure, where each RIS holds a specified time-varying coefficient to tag the channel. Moreover, multipath extraction is further considered, including a practical channel estimation approach along with theoretical derivations in terms of Cramer-Rao lower bound, mean-square error, as well as ergodic channel capacity. Simulation results corroborate the feasibility of the conceived RIS-CDMA structure and the effectiveness of the proposed multipath extraction approach.
Keywords:
Channel estimation
code-division multiple access (CDMA)
Cramer-Rao lower bound (CRLB)
ergodic channel capacity (ECC)
mean-square error
multipath extraction
reconfigurable intelligent surface (RIS)
spread spectrum (SS)
Journal
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8.9
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1.4W
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