LTE spectral efficiency using spatial multiplexing MIMO for macro-cells

Author

Vieira, Pedro ; Queluz, Paula ; Rodrigues, António

Author_Institution

DEETC, Lisbon Polytech. Inst. (ISEL), Lisbon

fYear

2008

fDate

15-17 Dec. 2008

Firstpage

1

Lastpage

6

Abstract

This paper considers the Multiple Input Multiple Output (MIMO) capacity enhancement considering the Universal Mobile Telecommunication System (UMTS) Long Term Evolution (LTE) technology, in the downlink, including the effects of system bandwidth and Signal-to-Noise Ratio (SNR) efficiency. Firstly, the system bandwidth efficiency is calculated for LTE framework. Then, the SNR efficiency using Adaptive Modulation and Coding (AMC) is approximated using curve fitting. The used fitting function is an attenuated and truncated form of the Shannon bound in order to approximate the LTE composite spectral efficiency for the Modulation and Coding Set (MCS). Finally, the total capacity expected results are calculated for different multi-antenna configurations, revealing large capacity gains when compared with Single Input Single Output (SISO).

Keywords

MIMO communication; adaptive codes; adaptive modulation; mobile communication; space division multiplexing; LTE; MIMO; adaptive modulation and coding; capacity enhancement; long term evolution; macro cells; modulation and coding set; signal-to-noise ratio; single input single output; spatial multiplexing; spectral efficiency; system bandwidth; universal mobile telecommunication system; 3G mobile communication; Bandwidth; Downlink; Eigenvalues and eigenfunctions; Long Term Evolution; MIMO; Modulation coding; Multiaccess communication; Paper technology; Telecommunications; LTE; MIMO; Spectral Efficiency; Wireless Communications;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communication Systems, 2008. ICSPCS 2008. 2nd International Conference on

Conference_Location

Gold Coast

Print_ISBN

978-1-4244-4243-0

Electronic_ISBN

978-1-4244-4243-0

Type

conf

DOI

10.1109/ICSPCS.2008.4813660

Filename

4813660