scholarly journals Power Allocation and Low Complexity Detector for Differential Full Diversity Spatial Modulation Using Two Transmit Antennas

2017 ◽  
Vol 26 (2) ◽  
pp. 461-469 ◽  
Author(s):  
K. Dwarika ◽  
H. Xu
Keyword(s):  
Power Allocation ◽  
Low Complexity ◽  
Spatial Modulation ◽  
Full Diversity

scholarly journals Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xiao Chen ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang
Keyword(s):  
Channel Estimation ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Communication Systems ◽  
Mimo Systems ◽  
Beam Steering ◽  
Estimation Method ◽  
Low Complexity ◽  
Estimation Accuracy ◽  
Hybrid Architecture

Abstract In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

FULL-RATE AND LOW-COMPLEXITY SPACE-TIME BLOCK CODING CONCATENATED WITH CHANNEL CODES

2007 ◽  
Vol 06 (01) ◽  
pp. 5-14 ◽  
Author(s):  
XIANGBIN YU ◽  
GUANGGUO BI
Keyword(s):  
Channel Coding ◽  
Turbo Code ◽  
Multiple Antennas ◽  
Low Complexity ◽  
Space Time ◽  
System Throughput ◽  
Time Block ◽  
Coding Schemes ◽  
Full Diversity ◽  
Full Rate

Space-time block (STB) coding has been an effective transmit diversity technique for combating fading recently. In this paper, a full-rate and low-complexity STB coding scheme with complex orthogonal design for multiple antennas is proposed, and turbo code is employed as channel coding to improve the proposed code scheme performance further. Compared with full-diversity multiple antennas STB coding schemes, the proposed scheme can implement full data rate, partial diversity and a smaller complexity, and has more spatial redundancy information. Moreover, using the proposed scheme can form efficient spatial interleaving, thus performance loss due to partial diversity is effectively compensated by the concatenation of turbo coding. Simulation results show that on the condition of the same system throughput and concatenation of turbo code, the proposed scheme has lower bit error rate (BER) than those low-rate and full-diversity multiple antennas STB coding schemes.

Low‐complexity transmit antenna selection for spatial modulation

2015 ◽  
Vol 51 (19) ◽  
pp. 1548-1550 ◽  
Author(s):  
Yue Xiao ◽  
Lu Yin ◽  
Yu Wang ◽  
Lei Li ◽  
Wei Xiang
Keyword(s):  
Antenna Selection ◽  
Low Complexity ◽  
Spatial Modulation ◽  
Transmit Antenna Selection ◽  
Selection For

A Novel Low-Complexity Adaptive Bit Mapping Scheme for Spatial Modulation

2018 ◽  
Vol 67 (4) ◽  
pp. 3674-3678 ◽  
Author(s):  
Husam Elfadil ◽  
Mehdi Maleki ◽  
Hamid Reza Bahrami
Keyword(s):  
Low Complexity ◽  
Spatial Modulation ◽  
Bit Mapping ◽  
Mapping Scheme

A Low-Complexity High-Rate Spatial Multiplexing Aided Generalized Spatial Modulation Scheme

2021 ◽  
Author(s):  
Yen-Ming Chen ◽  
Kuo-Chun Lin ◽  
Yao-Hsien Peng ◽  
Aswin Balaji ◽  
Chih-Peng Li
Keyword(s):  
Low Complexity ◽  
Spatial Multiplexing ◽  
Spatial Modulation ◽  
High Rate ◽  
Modulation Scheme
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