Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN

Suya, Yuanming Shi, Bo Bai, Wei Chen, Jun Zhang, Khaled Letaief, Shidong Zhou

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

Abstract

This paper considers the channel state information (CSI) acquisition and exploitation problem in cloud radio access networks (Cloud-RAN). A novel CSI acquisition method, called compressive CSI acquisition, is adopted to effectively reduce the CSI signaling overhead by obtaining instantaneous coefficients of only a subset of all the channel links. To deal with the uncertainty in available CSI, we propose a stochastic power control (SPC) framework, which is a highly intractable joint chance constrained program (JCCP). In contrast to conventional works, which can only find sub-optimal solutions, we propose a novel stochastic power control algorithm with optimality guarantee. Simulation results will show that the proposed compressive CSI acquisition method can reduce the overhead significantly. Moreover, the proposed SPC algorithm provides performance close to the full CSI case while only partial CSI is required.

Original languageEnglish
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1383-1387
Number of pages5
ISBN (Electronic)9781509045457
DOIs
Publication statusPublished - 19 Apr 2017
Externally publishedYes
Event2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States
Duration: 7 Dec 20169 Dec 2016

Other

Other2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
CountryUnited States
CityWashington
Period7/12/169/12/16

Fingerprint

Channel state information
Power control

Keywords

  • Cloud-RAN
  • Compressive CSI acquisition
  • Stochastic power control
  • Successive convex approximation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Suya, Shi, Y., Bai, B., Chen, W., Zhang, J., Letaief, K., & Zhou, S. (2017). Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings (pp. 1383-1387). [7906068] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2016.7906068

Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN. / Suya; Shi, Yuanming; Bai, Bo; Chen, Wei; Zhang, Jun; Letaief, Khaled; Zhou, Shidong.

2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1383-1387 7906068.

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

Suya, Shi, Y, Bai, B, Chen, W, Zhang, J, Letaief, K & Zhou, S 2017, Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN. in 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings., 7906068, Institute of Electrical and Electronics Engineers Inc., pp. 1383-1387, 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, United States, 7/12/16. https://doi.org/10.1109/GlobalSIP.2016.7906068
Suya, Shi Y, Bai B, Chen W, Zhang J, Letaief K et al. Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1383-1387. 7906068 https://doi.org/10.1109/GlobalSIP.2016.7906068
Suya ; Shi, Yuanming ; Bai, Bo ; Chen, Wei ; Zhang, Jun ; Letaief, Khaled ; Zhou, Shidong. / Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN. 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1383-1387
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