Joint energy efficiency optimization with nonlinear precoding in multi-cell broadcast systems

Xin Gui, Kyoung Jae Lee, Jaehoon Jung, Inkyu Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this paper, we focus on maximizing weighted sum energy efficiency (EE) for a multi-cell multi-user channel. In order to solve this non-convex problem, we first decompose the original problem into a sequence of parallel subproblems which can optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within a cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provides a closed-form solution for power allocation. Then, based on the derived optimal covariance matrix for each subproblem, a local optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on non-linear precoding achieves about 20 percent performance gains over the conventional linear precoding method.

Original languageEnglish
Article number000122
Pages (from-to)873-883
Number of pages11
JournalJournal of Communications and Networks
Volume18
Issue number6
DOIs
Publication statusPublished - 2016 Dec 1

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Energy efficiency
Covariance matrix
Base stations

Keywords

  • Dirty paper coding
  • Energy efficiency
  • Multicell broadcast channels

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Cite this

Joint energy efficiency optimization with nonlinear precoding in multi-cell broadcast systems. / Gui, Xin; Lee, Kyoung Jae; Jung, Jaehoon; Lee, Inkyu.

In: Journal of Communications and Networks, Vol. 18, No. 6, 000122, 01.12.2016, p. 873-883.

Research output: Contribution to journalArticle

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