Optimal dynamic power management for green coordinated multipoint systems

Xin Wang, Tianyi Chen, Yu Zhang, Georgios B Giannakis

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

Abstract

The paper deals with dynamic energy management for smart-grid powered coordinated multi-point (CoMP) transmissions. Aiming to minimize the expected energy transaction cost while guaranteeing the worst-case users' quality of service (QoS), an infinite-horizon optimization problem is formulated to obtain the optimal downlink transmit beamformers that are robust to channel uncertainties. Capitalizing on the virtual-queue based relaxation technique and the stochastic dual-subgradient method, an efficient online algorithm is developed in this context. Without a-priori knowledge of any statistics of the underlying random processes, it is rigorously established that the proposed algorithm is able to yield a feasible and asymptotically optimal solution.

Original languageEnglish (US)
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
StatePublished - 2015
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: Dec 6 2015Dec 10 2015

Publication series

Name2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
CountryUnited States
CitySan Diego
Period12/6/1512/10/15

Keywords

  • CoMP systems
  • Downlink beamforming
  • Highpenetration renewables
  • Stochastic optimization

Fingerprint Dive into the research topics of 'Optimal dynamic power management for green coordinated multipoint systems'. Together they form a unique fingerprint.

Cite this