Joint Quasi-Orthogonal SFBC and Spatial Multiplexing in OFDM-MIMO Systems

2006 ◽  
Author(s):  
Muhammad Rahman ◽  
Nicola Marchetti ◽  
Elisabeth de Carvalho ◽  
Ramjee Prasad
Keyword(s):  
Mimo Systems ◽  
Spatial Multiplexing

Grouped Multiuser Diversity for Spatial Multiplexing MIMO Systems

2011 ◽  
Vol 30 (1) ◽  
pp. 81-85
Author(s):  
Er-lin Zeng ◽  
Shi-hua Zhu ◽  
Xue-wen Liao ◽  
Jun Wang
Keyword(s):  
Mimo Systems ◽  
Multiuser Diversity ◽  
Spatial Multiplexing

MIMO Systems in a Composite Fading and Generalized Noise Scenario: A Review

2020 ◽  
Vol 14 ◽  
Author(s):  
Keerti Tiwari
Keyword(s):  
System Performance ◽  
Performance Enhancement ◽  
Channel Model ◽  
Mimo Systems ◽  
Mimo System ◽  
Spatial Diversity ◽  
Spatial Multiplexing ◽  
Channel Models ◽  
Efficient System ◽  
Composite Channel

: Multiple-input multiple-output (MIMO) systems have been endorsed to enable future wireless communication requirements. The efficient system designing appeals an appropriate channel model, that considers all the dominating effects of wireless environment. Therefore, some complex or less analytically acquiescent composite channel models have been proposed typically for single-input single-output (SISO) systems. These models are explicitly employed for mobile applications, though, we need a specific study of a model for MIMO system which can deal with radar clutters and different indoor/outdoor and mobile communication environments. Subsequently, the performance enhancement of MIMO system is also required in such scenario. The system performance enhancement can be examined by low error rate and high capacity using spatial diversity and spatial multiplexing respectively. Furthermore, for a more feasible and practical system modeling, we require a generalized noise model along with a composite channel model. Thus, all the patents related to MIMO channel models are revised to achieve the near optimal system performance in real world scenario. This review paper offers the methods to improve MIMO system performance in less and severe fading as well as shadowing environment and focused on a composite Weibull-gamma fading model. The development is the collective effects of selecting the appropriate channel models, spatial multiplexing/detection and spatial diversity techniques both at the transmitter and the receivers in the presence of arbitrary noise.

Repetition Coding and Equal Power Allocation Scheme for JPEG Image Transmission over MIMO Systems

2016 ◽  
Vol 8 (3) ◽  
pp. 10-19
Author(s):  
Mujeeb Ahmed
Keyword(s):  
Power Allocation ◽  
Mimo Systems ◽  
Spatial Multiplexing ◽  
Quality Data ◽  
Smart Devices ◽  
Allocation Scheme ◽  
Repetition Coding ◽  
Equal Power Allocation ◽  
Equal Power ◽  
Antenna Systems

Multiple transmit and receive antenna systems have improved the reliability as well as data rate in a wireless communication system. Such advanced wireless architectures have empowered smart devices to fulfill the demand of multimedia content. Image is a major user generated content in wide range of applications, hence reliable transmission of image is an important research problem. New transmission and coding schemes that explore advantages of multiple antenna systems matched with source statistics have been developed. Based on a similar idea, an equal power allocation scheme for transmission of compressed images over multiple-input multiple-output (MIMO) systems employing partial repetition coding is proposed. The JPEG compression algorithm divides image into different quality layers. The proposed system repeats transmission of high quality data from more than one antenna as compared to the lower quality data which is transmitted using one antenna at most, in a particular time slot. A heuristic spatial multiplexing scheme is also proposed to optimally divide the bit stream chunks for transmission. Extensive simulations have shown that equal power allocation and repetition coding scheme is better as compared to reference schemes.

Performance of OQAM/GFDM in Spatial Multiplexing MIMO Systems

2020 ◽  
Vol 11 (2) ◽  
pp. 39-57
Author(s):  
Simon Wissam Tarbouche ◽  
Abdel-Nasser Assimi
Keyword(s):  
Interference Cancellation ◽  
Pulse Shaping ◽  
Matched Filter ◽  
Mimo Systems ◽  
Mimo System ◽  
Spatial Multiplexing ◽  
Frequency Division ◽  
Fifth Generation ◽  
Additional Processing ◽  
Simulation Results

Generalized frequency division multiplexing (GFDM) is a prominent candidate to be used by the mobile Fifth Generation (5G) physical layer. Nevertheless, the integration of GFDM with Spatial Multiplexing (SM) MIMO system is essential to fulfill the data rate requirements. SM detection of MIMO-GFDM becomes a more challenging topic because of ICI and ISI due to the non-orthogonal nature of GFDM, along with IAI. In this article, the authors propose a system that combines the Offset-Quadrature Amplitude Modulation (OQAM) with GFDM to mitigate self-induced interference, by using a simple Matched Filter (MF) detector and minimum additional processing at the receiver. Simulation results show a considerable achieved improvement in BER by the proposed OQAM/GFDM compared to QAM/GFDM when using MMSE-based Ordered Successive Interference Cancellation (OSIC) detector. Furthermore, this system is unaffected by the roll-off factor variations of used pulse-shaping filters.

Coset detection in MIMO systems based on spatial multiplexing

2006 ◽  
Vol 10 (5) ◽  
pp. 390-392 ◽  
Author(s):  
M. Magarini ◽  
A. Spalvieri
Keyword(s):  
Mimo Systems ◽  
Spatial Multiplexing
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