Abstract
A novel framework is proposed for optimal resource management in multi-input multi-output (MIMO) downlink systems with smart-grid capabilities. Practical models are put forth to account for the stochastic renewable energy sources (RES), dynamic energy prices, as well as random wireless channels. Capitalizing on these models, a resource allocation task is formulated as an optimization problem that aims at maximizing the weighted sum-rate of MIMO broadcast channels. In addition to storage units accommodating the RES variability, a budget constraint is imposed for the worst-case energy transaction cost. Leveraging the information-theoretic uplink-downlink duality and Lagrange dual based subgradient method, an efficient algorithm is tailored to obtain the optimal strategy.
| Original language | English (US) |
|---|---|
| Title of host publication | 2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467376860 |
| DOIs | |
| State | Published - Nov 30 2015 |
| Event | International Conference on Wireless Communications and Signal Processing, WCSP 2015 - Nanjing, China Duration: Oct 15 2015 → Oct 17 2015 |
Publication series
| Name | 2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015 |
|---|
Other
| Other | International Conference on Wireless Communications and Signal Processing, WCSP 2015 |
|---|---|
| Country | China |
| City | Nanjing |
| Period | 10/15/15 → 10/17/15 |
Keywords
- Robust energy allocation
- smart grids
- uplink-downlink duality
- weighted sum-rate
UN SDGs
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