Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV
Networks
Abstract
This paper proposes an energy-efficient resource allocation framework
for the AmBC-enabled NOMA IoV network under imperfect Successive
Interference Cancellation (SIC) decoding. In particular, multiple
Road-Side Units (RSUs) transmit superimposed signals to their associated
IoVs utilizing downlink NOMA transmission. Meanwhile, the Backscatter
Tags (BackTags) also transmit data symbols towards nearby IoVs by
reflecting the superimposed signals of RSUs. Thus, the objective is to
maximize the total energy efficiency of the NOMA IoV network subject to
the minimum data rate of all IoVs. A joint problem that simultaneously
optimizes the total power budget of each RSU, power allocation
coefficient of IoVs and reflection power of BackTags under imperfect SIC
decoding is formulated.