A message passing algorithm for compressed sensing in wireless random access networks

Author

Bang Chul Jung ; Woohyuk Chang

Author_Institution

Dept. of Inf. & Commun. Eng., Gyeongsang Nat. Univ., Tongyeong, South Korea

fYear

2013

fDate

29-31 Aug. 2013

Firstpage

463

Lastpage

464

Abstract

In this paper, we consider the joint multiuser detection and channel estimation problem in wireless random access networks which consists of a large number of users with a single antenna and a base station (BS) multiple antennas. We first convert the problem into the compressed sensing framework and then propose a message passing (MP) algorithm which reduces the implementation complexity at BS. Simulation results show that the performance of the proposed MP algorithm becomes improved as the number of antennas at BS.

Keywords

antenna arrays; channel estimation; compressed sensing; message passing; multiuser detection; radio access networks; BS multiple antennas; MP algorithm; base station multiple antennas; channel estimation; compressed sensing; message passing algorithm; multiuser detection; wireless random access networks; Algorithm design and analysis; Antennas; Channel estimation; Compressed sensing; Message passing; Wireless communication; Wireless sensor networks; Random access networks; channel estimation; compressed sensing; message passing algorithm; multiple measurement vector problem; multiuser detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (APCC), 2013 19th Asia-Pacific Conference on

Conference_Location

Denpasar

Print_ISBN

978-1-4673-6048-7

Type

conf

DOI

10.1109/APCC.2013.6765991

Filename

6765991