Transmitter Preprocessing Aided Spatial Modulation for Multiple-Input Multiple-Output Systems

This paper presents a proposal for an architecture in FPGA for the implementation of a low complexity near maximum likelihood (Near-ML) detection algorithm for a multiple input-multiple output (MIMO) quadrature spatial modulation (QSM) transmission system. The proposed low complexity detection algorithm is based on a tree search and a spherical detection strategy. Our proposal was verified in the context of a MIMO receiver. The effects of the finite length arithmetic and limited precision were evaluated in terms of their impact on the receiver bit error rate (BER). We defined the minimum fixed point word size required not to impact performance adversely for n T transmit antennas and n R receive antennas. The results showed that the proposal performed very near to optimal with the advantage of a meaningful reduction in the complexity of the receiver. The performance analysis of the proposed detector of the MIMO receiver under these conditions showed a strong robustness on the numerical precision, which allowed having a receiver performance very close to that obtained with floating point arithmetic in terms of BER; therefore, we believe this architecture can be an attractive candidate for its implementation in current communications standards.

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Adaptive Power Allocation Algorithm for Wireless Optical Multiple Input Multiple Output Communication System with Spatial Modulation

Chinese Journal of Lasers ◽

10.3788/cjl201744.1006001 ◽

2017 ◽

Vol 44 (10) ◽

pp. 1006001 ◽

Cited By ~ 2

Author(s):

黄爱萍 Huang Aiping ◽

陶林伟 Tao Linwei

Keyword(s):

Power Allocation ◽

Communication System ◽

Multiple Input Multiple Output ◽

Spatial Modulation ◽

Allocation Algorithm ◽

Multiple Input ◽

Input Multiple Output ◽

Adaptive Power

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Parallel Complex Quadrature Spatial Modulation

Applied Sciences ◽

10.3390/app11010330 ◽

2020 ◽

Vol 11 (1) ◽

pp. 330

Author(s):

Sheriff Murtala ◽

Nishal Muchena ◽

Tasnim Holoubi ◽

Manar Mohaisen ◽

Kang-Sun Choi

Keyword(s):

Bit Error Rate ◽

Spectral Efficiency ◽

Multiple Input Multiple Output ◽

Spatial Modulation ◽

Transmission Scheme ◽

Multiple Input ◽

Input Multiple Output ◽

Mimo Transmission ◽

And Performance ◽

Ber Performance

In this paper, we propose a new multiple-input multiple-output (MIMO) transmission scheme, called parallel complex quadrature spatial modulation (PCQSM). The proposed technique is based on the complex quadrature spatial modulation (CQSM) to further increase the spectral efficiency of the communication system. CQSM transmits two different complex symbols at each channel use. In contrast with CQSM, the new transmission scheme splits the transmit antennas into groups, and modulates the two signal symbols using the conventional CQSM before transmission. Based on the selected modulation order and the number of possible groups that can be realized, the incoming bits modulate the two signal symbols and the indices of the transmit antennas in each group. We demonstrated that while the complexity and performance of the proposed scheme is the same as that of CQSM, the number of required transmit antennas is significantly reduced. The proposed PCQSM achieves such a benefit without requiring any additional radio frequency (RF) chains. The results obtained from Monte Carlo simulation showed that at a Bit Error Rate (BER) of 10−4, the performance of the PCQSM with two antenna groups closely matches that of CQSM, and outperformed quadrature spatial modulation (QSM) and parallel quadrature spatial modulation (PQSM) by over 0.7 dB. As the number of antenna groups increased to 4, the BER performance of PCQSM with reduced number of transmit antenna and modulation order matches that of QSM. The BER of the proposed scheme using maximum likelihood (ML) receiver is also analyzed theoretically and compared with the BER obtained via simulations.

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A New Solution for D2D Assisted 5G AR Communications

10.21203/rs.3.rs-507113/v1 ◽

2021 ◽

Author(s):

Ugljesa Urosevic ◽

Zoran Veljovic

Keyword(s):

Energy Efficiency ◽

Multiple Input Multiple Output ◽

Spatial Modulation ◽

Spectral Energy ◽

Digital Information ◽

Business Outcomes ◽

Multiple Input ◽

Input Multiple Output ◽

Communication Scheme ◽

Wireless Standards

Abstract Device-to-Device (D2D) communications are one of the main drivers of new wireless standards. D2D improves resource utilization, spectral efficiency, energy efficiency and cellular coverage of wireless networks. In some applications like online gaming, video streaming and multimedia downloading, performances can be deteriorated for users at cell edges. This is particulary emphasises in the case of augmented reality (AR) and virtual reality (VR) technologies. AR is a highly visual, interactive method of presenting relevant digital information in the context of the physical environment, e.g. connecting employees and improving business outcomes. In this paper, a new communication scheme with D2D assistance is proposed, which can significantly increase the spectral/energy efficiency in 5G AR use cases. The proposed scheme combines multiple input multiple output (MIMO) techniques, relaying and spatial modulation (SM). It allows the formation of virtual MIMO unicast, SM multicast, and SM unicast channels between AR devices. The simulation results show that spectral/energy efficiency can be significantly increased without significantly impairing bit error rate (BER) performance.

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