Optimal resource allocation for smart-grid powered MIMO broadcast channels

Shuyan Hu, Xin Wang, Yu Zhang, Georgios B Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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 languageEnglish (US)
Title of host publication2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467376860
DOIs
StatePublished - Nov 30 2015
EventInternational Conference on Wireless Communications and Signal Processing, WCSP 2015 - Nanjing, China
Duration: Oct 15 2015Oct 17 2015

Publication series

Name2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015

Other

OtherInternational Conference on Wireless Communications and Signal Processing, WCSP 2015
CountryChina
CityNanjing
Period10/15/1510/17/15

Keywords

  • Robust energy allocation
  • smart grids
  • uplink-downlink duality
  • weighted sum-rate

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