scholarly journals Gaussian MIMO relay channel with orthogonal channel components

2020 ◽  
Vol 71 (3) ◽  
pp. 222-226
Author(s):  
Zouhair Al-qudah
Keyword(s):  
Channel Model ◽  
Multiple Input Multiple Output ◽  
Relay Channel ◽  
Numerical Examples ◽  
Mimo Relay ◽  
Multiple Input ◽  
Communication Devices ◽  
Input Multiple Output ◽  
Theoretical Results

AbstractThe Gaussian multiple-input multiple-output (MIMO) orthogonal relay channel (ORC) is investigated. The transmission from source to relay is done over a channel that is orthogonal to source-destination and relay-destination channels. Practically, this assumption is made such that many communication devices from different technologies are exploited in relaying the source’s signal into its destination. For this channel model, the capacity is initially derived. Thereafter, we propose a transmission algorithm to achieve the derived capacity. Further, to support our theoretical results, many numerical examples are presented.

Capacity Enhanced Transmission for the MIMO Relay Channel

2011 ◽  
Vol 225-226 ◽  
pp. 1225-1229
Author(s):  
Rui Zhe Yang ◽  
Li Zhang ◽  
Peng Bo Si ◽  
Zhi Kun Song ◽  
Yan Hua Zhang
Keyword(s):  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Relay Channel ◽  
Decode And Forward ◽  
Mimo Relay ◽  
Transmission Strategy ◽  
Enhanced Transmission ◽  
Half Duplex ◽  
Multiple Input ◽  
Input Multiple Output

For the classic three-node multiple-input multiple-output (MIMO) relay channel, a capacity enhanced transmission is proposed, using simple half-duplex tow-hop relaying based on symbol level decode-and-forward (DF) mode. For higher capacity to the destination, we assume the source node equipped with more antennas and propose the transmission strategy, where using channel precoding, the source transmits the data to the relay and destination respectively in the first hop and retransmits part of data to destination jointly with relay in the second hop. Additionally, the power allocation is designed to maximize the system capacity. Simulation results are then presented for illustration of the capacity enhancement.

scholarly journals MIMO Fading Emulator Development with FPGA and Its Application to Performance Evaluation of Mobile Radio Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Yoshio Karasawa ◽  
Katsuhiro Nakada ◽  
Guijiang Sun ◽  
Rikako Kotani
Keyword(s):  
Channel Model ◽  
Multiple Input Multiple Output ◽  
New Developments ◽  
Performance Limit ◽  
Stage Scheme ◽  
Mobile Radio Systems ◽  
Multiple Input ◽  
Field Programmable ◽  
Input Multiple Output ◽  
Radio Systems

We present four new developments for a multiple-input multiple-output (MIMO) over-the-air measurement system based on our previous studies. The first two developments relate to the channel model for multipath environment generation. One is a further simplification of the circuit configuration without performance degradation by reducing the number of delay generation units, which dominate the performance limit when implementing the circuit on a field-programmable gate array (FPGA). The other is to realize spatial correlation characteristics among the input ports on the transmission side, whereas the previously proposed channel model did not consider this correlation. The third development involves the details of implementing the MIMO fading emulator on an FPGA as a two-stage scheme. The fourth is the demonstration of application examples of the developed system.

Effect of Antenna Layout on the Capacity of Massive MIMO

2014 ◽  
Vol 716-717 ◽  
pp. 1194-1198
Author(s):  
Xiao Yu Li ◽  
Xiao Fei Zhang ◽  
Da Zhuan Xu ◽  
Qui Ming Zhu
Keyword(s):  
Channel Model ◽  
Narrow Band ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Antenna Aperture ◽  
Multiple Input ◽  
Flat Fading ◽  
Input Multiple Output ◽  
Capacity Performance

This paper addresses the problem of the effect of different antenna layouts on the capacity of massive multiple-input multiple-output (MIMO) system capacity. Based on the narrow-band, flat fading channel model, the effect of scattering environment and antenna layout are considered by incorporating the power azimuth spectrum (PAS) and the array manifold vector. Under the same antenna aperture, six antenna layouts are investigated among which the UCA yields the best capacity while ULA yields the lowest capacity. The more symmetric the antenna geometry is, the better capacity performance it has.

scholarly journals Impact of Probe Configurations on Maximum of Test Volume Size in 3D MIMO OTA Testing

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Weimin Wang ◽  
Huaqiang Gao ◽  
Yongle Wu ◽  
Yuanan Liu
Keyword(s):  
Channel Model ◽  
Multiple Input Multiple Output ◽  
Maximum Size ◽  
Test Volume ◽  
Multiple Input ◽  
Input Multiple Output ◽  
3D Mimo ◽  
Flexible Probe ◽  
The Impact ◽  
Volume Size

With the development of multiple-input-multiple-output (MIMO) technology, the over-the-air (OTA) testing of MIMO capable devices with different sizes needs to be conducted for performance evaluation. The device under test (DUT) should be within a tridimensional test volume created by multiprobe configurations. Thus, determining the maximum size of test volume could be vital to test the DUT of different size and larger test volumes should be adopted to evaluate larger DUTs. All types of probe configurations including the fixed and the flexible probe configurations are investigated in this paper to address this issue. The maximum of test volume size (MTVS) is determined within the given error threshold of spatial correlation for a given probe configuration. Simultaneously, the impact of different probe configurations on MTVS is studied in order to obtain larger MTVSs. Simulation results show that larger MTVSs can be obtained by utilizing the optimal probe configuration with any given 3D channel model for 3D MIMO OTA testing.

On Optimal Constellation Shaping for Wireless MIMO Relay Networks Based on Complex Field Network Coding

2014 ◽  
Vol 490-491 ◽  
pp. 1410-1414
Author(s):  
Xin Zhou ◽  
Yi Jun Guo ◽  
Jian Jun Hao
Keyword(s):  
Network Coding ◽  
Multiple Input Multiple Output ◽  
General System ◽  
Destination Node ◽  
Relay Channel ◽  
Mimo Detection ◽  
Similar System ◽  
Constellation Shaping ◽  
Multiple Input ◽  
Input Multiple Output

Network Coding (NC) is a promising technique that can maximize the network throughput. Multiple-Input-Multiple-Output (MIMO) detection technique is always combined with NC because they are both based on a similar system description. Two-way relay channel (TWRC) is the most common scene for the research on NC. However, TWRC is not a general case since it requires both users have information to exchange simultaneously. In this paper, a more general system model which adds a destination node is proposed. Based on this scene, for symmetrical and asymmetrical modulation schemes, we maximize the minimum Euclidean distance of the superposed constellation. The destination node never needs to have a packet exchange with the relay. Excellent performance has been proved by the theory analysis and simulation results.

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