Table 1 Summary of comparative analysis with relevant works.
From: User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network
References | Description | Solutions | Optimization metrics | |||||
|---|---|---|---|---|---|---|---|---|
WPT duration | Task allocation | Offloading power | Task arrival rate | Battery levels | Reflection coefficients | |||
Maximize the energy-efficient for NOMA networks | Learning-based solutions | \(\times\) | \(\times\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | |
Enhance computational rates across various scenarios. | Learning-based solutions | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | |
Maximize the data processing rate for relay networks | Learning-based solutions | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | |
Maximize the energy-efficient with the help of a relay | BackCom approaches | \(\checkmark\) | \(\times\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\checkmark\) | |
Data offloading and computing delays minimization with hybrid BackCom and AC | BackCom approaches | \(\times\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | |
Maximize the weighted sum of computation bits for non-linear EH model | BackCom approaches | \(\times\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\checkmark\) | |
Maximize the sum uplink rate for NOMA networks | BackCom approaches | \(\times\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | \(\checkmark\) | |
System latency minimization for IRS-assisted networks | IRS approaches | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | |
The user energy efficiency maximization for cooperation-assisted networks | User cooperation frameworks | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\checkmark\) | |
Enhance computation efficiency for resource allocation | User cooperation frameworks | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | |
End-to-end latency minimization for resource allocation | User cooperation frameworks | \(\times\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\times\) | |
Addressed the energy efficiency fairness for UAV-enabled networks | UAV+User cooperation frameworks | \(\times\) | \(\times\) | \(\checkmark\) | \(\times\) | \(\times\) | \(\checkmark\) | |
Long-term system energy efficiency optimization for dynamic networks | Queue-based solutions | \(\checkmark\) | \(\times\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\times\) | |
Our paper | Energy-efficient optimization for with hybrid BackCom and AC in dynamic networks | Queue-based solutions | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
