Evaluation of Bit Error Probability for CPM MIMO Systems in Rayleigh Channel

Lei, Guowei; Liu, Yuanan; Xiao, Xin

doi:10.1007/s11277-015-2796-1

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…To greatly increase the channel capacity [1][2] , MIMO systems use multiple antennas at both the transmitter and receiver ends, and information is transmitted and received through multiple antennas between the transmitter and receiver ends. Without increasing spectrum resources and transmitting power, multi-antenna systems can increase the capacity of the system, improve the quality of the wireless transmission link, and increase the bandwidth of the system exponentially and reliability.…”

Section: System Modelmentioning

confidence: 99%

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Joint Transmit and Receive Antenna Selection in MIMO Systems Based on Swarm Intelligence Algorithm

Zhang

Liao

et al. 2021

Preprint

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In multiple-input-multiple-output (MIMO) systems, the selection of receive and transmit antennas is not just effective in increasing system capacity, but also in reducing RF link costs and system complexity. The exhaustive algorithm, i.e. the joint transmit and receive antenna selection (JTRAS) with the best accuracy, can search all the subsets of both transmit and receive antennas in order to find the optimal solution. However, with the increase of the number of antennas, the computational complexity is too large and its applicability is limited. In this paper, the antennas are coded by fractional coding with the maximization of channel capacity as the basic criterion, and three intelligent algorithms, namely genetic algorithm, cat swarm algorithm and particle swarm algorithm, are applied for antenna selection. The simulation results demonstrate that all three algorithms can efficiently accomplish the antenna selection. In the end, we compare them in terms of speed, accuracy and complexity of the search in MIMO systems.

show abstract

Section: System Modelmentioning

confidence: 99%

“…MIMO (Multiple-Input-Multiple-Output) systems can exponentially enhance the capacity of communication systems [1][2] and the linkage of wireless transmission. Moreover, it can greatly improve system performance without the sacrifice of bandwidth compared to single-input and single-output systems [3][4][5] .…”

Section: Introductionmentioning

confidence: 99%

Joint Transmit and Receive Antenna Selection in MIMO Systems Based on Swarm Intelligence Algorithm

Zhang

Liao

et al. 2021

Preprint

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show abstract

Quadrature spatial modulation with space‐time block‐coded CPM MIMO system

Lei

2020

Int J Numerical Modelling

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Quadrature spatial modulation (QSM) is recently regarded as a technique to combat inter‐channel interference (ICI) for future wireless systems. In this paper, we consider a system of QSM combining space time block codes (STBC) and continuous phase modulation (CPM). In the system, the spatial constellation symbols are not expanded by two in‐phase and quadrature components, but represented by two STBC symbols. Moreover, we employ K‐means clustering algorithm to decrease the correlation of two transmit antennas. Then in the system, the bit error ratio (BER) performances are derived and evaluated for CPM and linear modulations (PSK, QAM). It is demonstrated that the proposed system has the advantages of BER performance and power spectrum density compared to its counterpart with linear modulations or without K‐means clustering of antennas.

show abstract

Joint Transmit and Receive Antenna Selection in Mimo Systems Based on Swarm Intelligence Algorithm

Zhang

Liao

et al. 2022

Wireless Pers Commun

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Evaluation of Bit Error Probability for CPM MIMO Systems in Rayleigh Channel

Cited by 4 publications

References 11 publications

Joint Transmit and Receive Antenna Selection in MIMO Systems Based on Swarm Intelligence Algorithm

Joint Transmit and Receive Antenna Selection in MIMO Systems Based on Swarm Intelligence Algorithm

Quadrature spatial modulation with space‐time block‐coded CPM MIMO system

Joint Transmit and Receive Antenna Selection in Mimo Systems Based on Swarm Intelligence Algorithm

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