MIMO relaying with linear processing for multiuser transmission in fixed relay networks

Chan Byoung Chae, Taiwen Tang, Robert W. Heath, Sunghyun Cho

Research output: Contribution to journalArticlepeer-review

285 Citations (Scopus)


In this paper, a novel relaying strategy that uses multiple-input multiple-output (MIMO) fixed relays with linear processing to support multiuser transmission in cellular networks is proposed. The fixed relay processes the received signal with linear operations and forwards the processed signal to multiple users creating a multiuser MIMO relay. This paper proposes upper and lower bounds on the achievable sum rate for this architecture assuming zero-forcing dirty paper coding at the base station, neglecting the direct links from the base station to the users, and with certain structure in the relay. These bounds are used to motivate an implementable multiuser precoding strategy that combines Tomlinson-Harashima precoding at the base station and linear signal processing at the relay, adaptive stream selection, and QAM modulation. Reduced complexity algorithms based on the sum rate lower bounds are used to select a subset of users. We compare the sum rates achieved by the proposed system architecture and algorithms with the sum rate upper bound and the sum rate achieved by the decode-and-forward relaying.

Original languageEnglish
Pages (from-to)727-738
Number of pages12
JournalIEEE Transactions on Signal Processing
Issue number2
Publication statusPublished - 2008 Feb

Bibliographical note

Funding Information:
Manuscript received February 17, 2006; revised May 30, 2007. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Luc Vandendorpe. This material is based in part upon work supported by Samsung Electronics.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'MIMO relaying with linear processing for multiuser transmission in fixed relay networks'. Together they form a unique fingerprint.

Cite this