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Generalised pre-coding aided spatial modulation

Zhang, Rong, Yang, Lie-Liang and Hanzo, Lajos (2013) Generalised pre-coding aided spatial modulation IEEE Transactions on Wireless Communications, 12, (11), pp. 5434-5443. (doi:10.1109/TWC.2013.100213.130848).

Record type: Article


A new Multiple Input Multiple Output (MIMO) transmission scheme termed as Generalised Pre-coding aided Spatial Modulation (GPSM) is proposed, where the key idea is that a particular subset of receive antennas is activated and the activation pattern itself conveys useful information. This is in contrast to the previously proposed Spatial Modulation (SM) schemes, which operated by activating a specific subset of transmit antennas. We provide both analytical and numerical results characterizing the GPSM scheme proposed for both conventional as well as for large-dimensional MIMO configurations subject to both realistic imperfect Channel State Information at the Transmitter (CSIT) and to the low-rank approximation invoked for large-dimensional MIMO configurations. We also design a so-called reinforcement matrix for attaining substantial performance improvements for our proposed GPSM scheme. Our investigations show that the GPSM scheme constitutes a flexible alternative to the state-of-the-art MIMO transmission schemes, especially because it is capable of achieving a high throughput. Moreover, the benefits of mapping information to the spatial domain rather than relying on conventional modulation has substantial benefits in the medium to high Signal to Noise Ratio (SNR) region. Quantitatively, GPSM is capable of supporting the same throughput as the conventional full-multiplexing gain based MIMO arrangements at an SNR gain of about 1dB at the same receiver complexity. Furthermore, the reinforcement matrix aided GPSM scheme attains a further 3-4dB performance improvement as compared to the conventional GPSM scheme.

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Published date: November 2013
Organisations: Southampton Wireless Group


Local EPrints ID: 355075
PURE UUID: da2c01ce-e2bc-41c3-a8e8-cbb98a4d19fa
ORCID for Lie-Liang Yang: ORCID iD

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Date deposited: 12 Aug 2013 15:10
Last modified: 18 Jul 2017 03:50

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Author: Rong Zhang
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo

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