Kavli Affiliate: Bo Gu
| First 5 Authors: Songhan Zhao, Songhan Zhao, , ,
| Summary:
In this paper, we consider a semantic-aware reconfigurable intelligent
surface (RIS)-assisted wireless network, where multiple semantic users (SUs)
simultaneously transmit semantic information to an access point (AP) by using
the non-orthogonal multiple access (NOMA) method. The SUs can reshape their
traffic demands by modifying the semantic extraction factor, while the RIS can
reconfigure the channel conditions via the passive beamforming. This provides
the AP with greater flexibility to decode the superimposed signals from the
SUs. We aim to minimize the system’s overall energy consumption, while ensuring
that each SU’s traffic demand is satisfied. Hence, we formulate a joint
optimization problem of the SUs’ decoding order and semantic control, as well
as the RIS’s passive beamforming strategy. This problem is intractable due to
the complicated coupling in constraints. To solve this, we decompose the
original problem into two subproblems and solve them by using a series of
approximate methods. Numerical results show that the joint traffic reshaping
and channel reconfiguration scheme significantly improves the energy saving
performance of the NOMA transmissions compared to the benchmark methods.
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