Abstract
Energy efficiency (EE) and spectral efficiency (SE)
are two of the key performance metrics in future wireless
networks, covering both design and operational requirements.
For previous conventional resource allocation techniques, these
two performance metrics have been considered in isolation,
resulting in severe performance degradation in either of these
metrics. Motivated by this problem, in this paper, we propose
a novel beamforming design that jointly considers the trade-off
between the two performance metrics in a multiple-input singleoutput
non-orthogonal multiple access system. In particular, we
formulate a joint SE-EE based design as a multi-objective optimization
(MOO) problem to achieve a good trade-off between
the two performance metrics. However, this MOO problem is not
mathematically tractable and, thus, it is difficult to determine
a feasible solution due to the conflicting objectives, where both
need to be simultaneously optimized. To overcome this issue, we
exploit a priori articulation scheme combined with the weighted
sum approach. Using this, we reformulate the original MOO
problem as a conventional single objective optimization (SOO)
problem. In doing so, we develop an iterative algorithm to
solve this non-convex SOO problem using the sequential convex
approximation technique. Simulation results are provided to
demonstrate the advantages and effectiveness of the proposed
approach over the available beamforming designs.
are two of the key performance metrics in future wireless
networks, covering both design and operational requirements.
For previous conventional resource allocation techniques, these
two performance metrics have been considered in isolation,
resulting in severe performance degradation in either of these
metrics. Motivated by this problem, in this paper, we propose
a novel beamforming design that jointly considers the trade-off
between the two performance metrics in a multiple-input singleoutput
non-orthogonal multiple access system. In particular, we
formulate a joint SE-EE based design as a multi-objective optimization
(MOO) problem to achieve a good trade-off between
the two performance metrics. However, this MOO problem is not
mathematically tractable and, thus, it is difficult to determine
a feasible solution due to the conflicting objectives, where both
need to be simultaneously optimized. To overcome this issue, we
exploit a priori articulation scheme combined with the weighted
sum approach. Using this, we reformulate the original MOO
problem as a conventional single objective optimization (SOO)
problem. In doing so, we develop an iterative algorithm to
solve this non-convex SOO problem using the sequential convex
approximation technique. Simulation results are provided to
demonstrate the advantages and effectiveness of the proposed
approach over the available beamforming designs.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Wireless Communications |
| Publication status | Accepted/In press - 28 Jun 2020 |