scholarly journals A New Solution for D2D Assisted 5G AR Communications

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.

scholarly journals Fast Scalable Architecture of a Near-ML Detector for a MIMO-QSM Receiver

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1509 ◽  
Author(s):  
Ismael Lopez ◽  
L. Pizano-Escalante ◽  
Joaquin Cortez ◽  
O. Longoria-Gandara ◽  
Armando Garcia
Keyword(s):  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Spatial Modulation ◽  
Impact Performance ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Receiver Performance ◽  
Limited Precision ◽  
Numerical Precision

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.

scholarly journals Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 857 ◽  
Author(s):  
Wang ◽  
Huang ◽  
You ◽  
Xiong ◽  
Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Maximization Problem ◽  
Multicast Transmission ◽  
Deterministic Equivalent ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Vector Valued

We study the energy efficiency (EE) optimization problem in non-orthogonal unicast and multicast transmission for massive multiple-input multiple-output (MIMO) systems with statistical channel state information of all receivers available at the transmitter. Firstly, we formulate the EE maximization problem. We reduce the number of variables to be solved and simplify this large-dimensional-matrix-valued problem into a real-vector-valued problem. Next, we lower the computational complexity significantly by replacing the objective with its deterministic equivalent to avoid the high-complex expectation operation. With guaranteed convergence, we propose an iterative algorithm on beam domain power allocation using the minorize maximize algorithm and Dinkelbach’s transform and derive the locally optimal power allocation strategy to achieve the optimal EE. Finally, we illustrate the significant EE performance gain of our EE maximization algorithm compared with the conventional approach through conducting numerical simulations.

Guaranteed Minimization of the Bit Error Ratio for MIMO Systems: A Mathematical Viewpoint

2021 ◽  
Author(s):  
Ekaterina Auer ◽  
Andreas Ahrens
Keyword(s):  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Point Of View ◽  
Error Ratio ◽  
Multiple Input ◽  
Bit Error Ratio ◽  
Communication Links ◽  
Input Multiple Output ◽  
Wireless Standards ◽  
Formal Point

Abstract Multiplying the capacity of communication links by using the multiple-input multiple-output mechanism has become an essential part of various wireless standards. In this paper, we focus on the bit error rate in such systems and consider its optimization under parameter uncertainty from a formal point of view (including methods with result verification). The theoretical results are demonstrated using a close-to-life application.

Analysis of Distributed MIMO Systems in a Multi-Cell Environment

2014 ◽  
Vol 696 ◽  
pp. 183-190
Author(s):  
Yue Heng Li ◽  
Ming Hao Fu ◽  
Li Wang ◽  
Mei Yan Ju ◽  
Ping Huang
Keyword(s):  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Research Work ◽  
Network Scheduling ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Communication Scheme ◽  
Inter Cell Interference ◽  
Output Sinr ◽  
Probability Density Function Pdf

This paper focuses its research work on the capacity and outage performances of a distributed multiple-input multiple-output (DMIMO) system in a multi-cell environment. For this purpose, the multi-cell DMIMO structure is modeled first, and based on this model, the so-called blanket communication and selective communication schemes are compared, and the formula of the output signal to interference plus noise ratio (SINR) of the above two schemes are given to illustrate the way of an inter-cell interference affecting the system performance. Then the expressions of the average capacity and outage probability are derived by using the probability density function (PDF) of the output SINR in the preferred selective communication scheme with some necessary approximations. Finally, the computer simulations are provided to explore the possible rule of upper layer network scheduling in overcoming the inter-cell interferences and in optimizing the capacity and outage performances in the DMIMO systems.

scholarly journals Parallel Complex Quadrature Spatial Modulation

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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