Spectral efficiency analysis of rate-adaptive user selection diversity in orthogonal space time block coding multiple-input multiple-output systems with antenna selection

2011 ◽  
Vol 5 (5) ◽  
pp. 629-643 ◽  
Author(s):  
M. Torabi ◽  
D. Haccoun ◽  
W. Ajib
Keyword(s):  
Antenna Selection ◽  
Multiple Input Multiple Output ◽  
Efficiency Analysis ◽  
User Selection ◽  
Time Block ◽  
Block Coding ◽  
Orthogonal Space ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Rate Adaptive

scholarly journals On the performance of code word diversity based quasi orthogonal space time block codes in multiple-input-multiple-output systems

2020 ◽  
Vol 10 (3) ◽  
pp. 2535
Author(s):  
SenthilKumar Kumaraswamy ◽  
Palanivelan Manickavel ◽  
Noormohammed Valimohamad ◽  
Helanvidhya Thankaraj ◽  
Yogalakshmi Venkatesan ◽  
...  
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Block Codes ◽  
Space Time ◽  
Code Word ◽  
Time Block ◽  
Probability Of Error ◽  
Orthogonal Space ◽  
Multiple Input ◽  
Input Multiple Output

In the recent past, a lot of researches have been put into designing a Multiple-Input-Multiple-Output (MIMO) system to provide multimedia services with higher quality and at higher data rate. On par with these requirements, a novel Quasi Orthogonal Space Time Block Code (QOSTBC) scheme based on code word diversity is proposed, which is a multi-dimensional approach, in this paper. The term code word diversity is coined, since the information symbols were spread across many code words in addition to traditional time and spatial spreading, without increasing transmission power and bandwidth. The receiver with perfect channel state information estimates the transmitted symbols with less probability of error, as more number of samples is available to estimate given number of symbols due to the extra diversity due to code words. The simulation results show a significant improvement in the Bit Error Rate (BER) performance of the proposed scheme when compared with the conventional schemes.

scholarly journals MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772091295
Author(s):  
Ahmad AA Solyman ◽  
Hani Attar ◽  
Mohammad R Khosravi ◽  
Baki Koyuncu
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Frequency Division ◽  
Time Block ◽  
Block Coding ◽  
Single Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Multiplexing Systems

In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity.

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