Abstract
This paper proposes a low-complexity joint source and relay energy-efficient resource allocation scheme for the two-hop multiple-input- multiple-output (MIMO) amplify-and-forward (AF) system when channel state information is available. We first simplify the multivariate unconstrained energy efficiency (EE)-based problem and derive a convex closed-form approximation of its objective function as well as closed-form expressions of subchannel rates in both the unconstrained and power constraint cases. We then rely on these expressions for designing a low-complexity energy-efficient joint resource allocation algorithm. Our approach has been compared with a generic nonlinear constrained optimization solver and results have indicated the low-complexity and accuracy of our approach. As an application, we have also compared our EE-based approach against the optimal spectral efficiency (SE)-based joint resource allocation approach and results have shown that our EE-based approach provides a good trade-off between power consumption and SE.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Communications, ICC 2014 |
| Publisher | IEEE Computer Society |
| Pages | 3806-3811 |
| Number of pages | 6 |
| ISBN (Print) | 9781479920037 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia Duration: 10 Jun 2014 → 14 Jun 2014 |
Publication series
| Name | 2014 IEEE International Conference on Communications, ICC 2014 |
|---|
Conference
| Conference | 2014 1st IEEE International Conference on Communications, ICC 2014 |
|---|---|
| Country/Territory | Australia |
| City | Sydney, NSW |
| Period | 10/06/14 → 14/06/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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