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 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.

PERFORMANCE EVALUATION OF TRANSMISSION FOR MULTIUSER MIMO BROADCAST CHANNEL

2016 ◽  
Vol 78 (5-7) ◽  
Author(s):  
Mohd Syarhan Idris ◽  
Nur Idora Abdul Razak ◽  
Azlina Idris ◽  
Ruhani Ab Rahman
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Broadcast Channel ◽  
High Data ◽  
Dirty Paper Coding ◽  
Percentage Improvement ◽  
Data Rates ◽  
Multiple Input ◽  
Input Multiple Output

Multiple Input Multiple Output (MIMO) system has been brought a great improvement in spectral efficiency and the system capacity by serving multiple users simultaneously. The mathematical model of downlink Multi-user MIMO system and its capacity has been presented as well as different precoded transmission schemes. It is to implementing the downlink MU-MIMO system, such as channel inversion (CI), block diagonalization (BD), dirty paper coding (DPC) and tomlinsonharashimaprecoding (THP). It is because, in wireless and mobile communication system has been requires a reliable transmission of high data rates under various channel type different scenarios and reduce MU interference in the system.   These compares the method of transmission for broadcast channel (BC) and propose the best one method that outperforms existing technique with percentage improvement from the worst performance.

scholarly journals Analysis of MIMO Diversity Improvement Using Circular Polarized Antenna

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jianquan Wang ◽  
Zhaobiao Lv ◽  
Xinzhong Li
Keyword(s):  
Circular Polarization ◽  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Diversity Gain ◽  
Theory Analysis ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Important Means ◽  
Multipath Scattering ◽  
Dual Polarized Antenna

MIMO (Multiple Input Multiple Output) technique is one of the important means to enhance the system capacity. Diversity gain could be acquired by using traditional ±45° dual-polarized antenna, but in the scenario where multipath scattering is not strong, power-unbalance in two polarizations caused by polarization mismatching between transmitting and receiving antennas will reduce diversity gain. This problem can be effectively solved by using circular polarized antennas. In this paper, through theory analysis and test, the improvement of MIMO diversity gain using circular polarization antenna is analyzed.

scholarly journals A Fast Adaptive Receive Antenna Selection Method in MIMO System

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Chaowei Wang ◽  
Weidong Wang ◽  
Cheng Wang ◽  
Shuai Wang ◽  
Yang Yu
Keyword(s):  
Mimo Systems ◽  
Antenna Selection ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Adaptive Antenna ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Hardware Costs ◽  
Receive Antenna

Antenna selection has been regarded as an effective method to acquire the diversity benefits of multiple antennas while potentially reduce hardware costs. This paper focuses on receive antenna selection. According to the proportion between the numbers of total receive antennas and selected antennas and the influence of each antenna on system capacity, we propose a fast adaptive antenna selection algorithm for wireless multiple-input multiple-output (MIMO) systems. Mathematical analysis and numerical results show that our algorithm significantly reduces the computational complexity and memory requirement and achieves considerable system capacity gain compared with the optimal selection technique in the same time.

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.

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.

scholarly journals A Review of the Use Cases and Possible Technologies for 5G and Beyond Communications

2021 ◽  
pp. 94-111
Author(s):  
Ali Mahamoud Ali ◽  
Bakhit Amine Adoum ◽  
Idriss Saleh Bachar ◽  
Nasrullah Armi ◽  
Mahamat Saleh Idriss ◽  
...  
Keyword(s):  
Communication System ◽  
Multiple Input Multiple Output ◽  
Use Cases ◽  
Full Duplex ◽  
Small Cells ◽  
Future Research ◽  
Half Duplex ◽  
Multiple Input ◽  
Key Technologies ◽  
Input Multiple Output

5G communication system is rapidly taking shape and for many organizations, including administrations, it is important to be aware of developments in this regard. At this stage, it is essential to know about 5G use cases and possible key technologies. This paper describes several anticipated 5G use cases across a handful of different sectors. It is important to remember that these comprise only a subset of possible use cases and these are all still new. As-yet more new use cases are expected to emerge and the need to prepare their adaption in 5G and beyond. From wireless transmission, wireless access and network perspectives, the possible key technologies of 5G, including Massive Multiple Input Multiple Output (MIMO), Beam-forming, Device-to-Device communication system (D2D), non-orthogonal multiple access (NOMA), Full duplex, Small cells, cognitive radio(CR), etc. and their latest progress are presented comprehensively and thoroughly. Each has enormous advantages but also limitations. The Full duplex which will help to double the capacity of the channel compared to the Half-duplex technology of 4G and Small cells combined with millimeter waves to have a wide bandwidth. These Small-Cells are essential for energy reduction and also for improving latency. But these Small-Cells require the use of intelligent antennas, that is to say, the diagrams of which are directive and reconfigurable at the request of the user Future research challenges regarding 5G and beyond wireless communication are also discussed.

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