Abstract
This paper proposes a bi-criteria optimisation frame-work that maximises both the network rate and the harvested energy, which are contradictory objectives. Using the practical non-linear energy harvesting (EH) model, we jointly optimise re-lay selection (RS), power splitting (PS) and power allocation (PA). We decouple the relay selection variables from the other resource allocation variables to convert the original mixed-integer non-linear programming (MINLP) problem into a tractable problem. For PS and PA, the well-known -constraint method is applied to convert the bi-criteria problem into a convex problem. For RS, we propose a sub-optimal algorithm based on a selection order function with linear complexity. The simulation results indicate that the proposed schemes perform better than the benchmarks, drastically reducing computational complexity from exponential to polynomial.
Original language | English |
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Pages (from-to) | 849-854 |
Number of pages | 6 |
Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Event | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Rio de Janeiro, Brazil Duration: 4 Dec 2022 → 8 Dec 2022 |
Keywords
- -constraint method
- Bi-Criteria optimisation
- mixed-integer non-linear programming
- non-linear energy harvesting model
- relay selection