Skip to main content

Adaptive transmission in distributed MIMO multiplexing

Adachi, Koichi and Zhu, Huiling and Wang, Jiangzhou and Adachi, Fumiyuki and Nakagawa, Masao (2010) Adaptive transmission in distributed MIMO multiplexing. In: 2010 IEEE International Conference on Communication Systems. IEEE, pp. 141-145. ISBN 978-1-4244-7004-4. E-ISBN 978-1-4244-7006-8. (doi:10.1109/ICCS.2010.5686364) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35896)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICCS.2010.5686364

Abstract

Distributed antenna system (DAS) or distributed multiple-input multiple-output (MIMO) can enhance the cellular throughput performance, thanks to the largely separated multiple remote antenna units (RAU) which can experience the different large scale fading and the small scale fading. So far, much research work has been published in the DAS. However, to the authors' best knowledge, there is no research work which deals with the impact of the large scale fading effect on the throughput performance when practical data modulation, adaptive modulation, and signal detection schemes are used. How the bits should be allocated to the different RAUs is an important research topic in the DAS. In this paper, we consider two bit allocation methods: statistical channel based allocation and instantaneous channel based allocation. How the bits are allocated to each RAU are expressed by using simple equations based on statistical and instantaneous channel. Using numerical computation, how the large scale fading and bit allocation methods affect the throughput performance of distributed MIMO system are evaluated.

Item Type: Book section
DOI/Identification number: 10.1109/ICCS.2010.5686364
Uncontrolled keywords: modulation; bit error rate; MIMO; fading; signal to noise ration; resource management; throughput
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 14:40 UTC
Last Modified: 12 Feb 2020 04:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35896 (The current URI for this page, for reference purposes)
Wang, Jiangzhou: https://orcid.org/0000-0003-0881-3594
  • Depositors only (login required):