Abstract
This paper introduces a new differential spatial modulation (DSM) scheme which subsumes both the previously introduced DSM and high-rate spatial modulation (HR-SM) for wireless multiple input multiple output (MIMO) transmission. By combining the codeword design method of the HR-SM scheme with the encoding method of the DSM scheme, we develop a high-rate differential spatial modulation (HR-DSM) scheme equipped with an arbitrary number of transmit antennas that requires channel state information (CSI) neither at the transmitter nor at the receiver. The proposed approach can be applied to any equal energy signal constellations. The bit error rate (BER) performance of the proposed HR-DSM schemes is evaluated by using both theoretical upper bound and computer simulations. It is shown that for the same spectral efficiency and antenna configuration, the proposed HR-DSM outperforms the DSM in terms of bit error rate (BER) performance.
Highlights
In recent years, many transmission techniques for wireless multiple input multiple output (MIMO) communication systems have been proposed
Compared with the Vertical Bell Laboratories Layered Space-Time (V-BLAST) [3] and space-time block codes (STBCs) [4, 5], spatial modulation (SM) has several advantages which are attained by the following three essential features: (1) unlike the V-BLAST, in an SM scheme, only one transmit antenna is activated during transmission, thereby completely avoiding the problem of inter-channel interference (ICI) among the transmit antennas; (2) since only one antenna is activated for signaling the SM, transmitter needs to use only a single radio frequency (RF) chain, which certainly helps to reduce the hardware cost as well
Motivated by the aforementioned challenge, in this paper, we propose a new differential spatial modulation (DSM) scheme based on the concept of spatial constellation (SC), SC codewords [20] and high-rate spatial modulation (HR-SM) codeword [21], called High-Rate Differential Spatial Modulation (HR-DSM), for an arbitrary number of transmit antennas
Summary
Many transmission techniques for wireless multiple input multiple output (MIMO) communication systems have been proposed. Most investigations on SM assumed that the CSI is available at the receiver This assumption is reasonable when the channel varies slowly compared with. Nguyen et al EURASIP Journal on Wireless Communications and Networking (2018) 2018:6 the symbol rate, and knowledge of the channel can be obtained via training. The length of the training sequence grows proportionally with the number of transmit antennas [11]. This could result in a large decrease of the overall system throughput. In order to dispense with the CSI estimation, a blind detector have been recently proposed for SM [12] This detector requires a large number of observed symbols and increased computational complexity for signal estimation. Solutions that do not require CSI and large observations, such as differential modulation, are very useful
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