ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

On Generalized Spatial Modulation

Datta, Tanumay and Chockalingam, A (2013) On Generalized Spatial Modulation. In: 2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) . pp. 2716-2721.

[img] PDF
wir_com_net_con_2716_2013.pdf - Published Version
Restricted to Registered users only

Download (403kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/WCNC.2013.6554991


Generalized spatial modulation (GSM) is a relatively new modulation scheme for multi-antenna wireless communications. It is quite attractive because of its ability to work with less number of transmit RF chains compared to traditional spatial multiplexing (V-BLAST system). In this paper, we show that, by using an optimum combination of number of transmit antennas (N-t) and number of transmit RF chains (N-rf), GSM can achieve better throughput and/or bit error rate (BER) than spatial multiplexing. First, we quantify the percentage savings in the number of transmit RF chains as well as the percentage increase in the rate achieved in GSM compared to spatial multiplexing; 18.75% savings in number of RF chains and 9.375% increase in rate are possible with 16 transmit antennas and 4-QAM modulation. A bottleneck, however, is the complexity of maximum-likelihood (ML) detection of GSM signals, particularly in large MIMO systems where the number of antennas is large. We address this detection complexity issue next. Specifically, we propose a Gibbs sampling based algorithm suited to detect GSM signals. The proposed algorithm yields impressive BER performance and complexity results. For the same spectral efficiency and number of transmit RF chains, GSM with the proposed detection algorithm achieves better performance than spatial multiplexing with ML detection.

Item Type: Journal Article
Publisher: IEEE
Additional Information: copyright for this article belongs to IEEE ,USA
Keywords: Generalized spatial modulation; RF chain savings; detection; Gibbs sampling
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 09 Jan 2014 11:34
Last Modified: 09 Jan 2014 11:34
URI: http://eprints.iisc.ac.in/id/eprint/47997

Actions (login required)

View Item View Item