scholarly journals A full‐duplex radio over fiber architecture employing 12 Gbps 16 × 16 optical multiple input multiple output for next‐generation communication networks

2020 ◽  
Vol 31 (8) ◽  
Author(s):  
Saeed Iqbal ◽  
Aadil Raza ◽  
Muhammad Fasih Uddin Butt ◽  
Salman Ghafoor ◽  
Mohammed El‐Hajjar
Keyword(s):  
Communication Networks ◽  
Multiple Input Multiple Output ◽  
Radio Over Fiber ◽  
Full Duplex ◽  
Fiber Architecture ◽  
Next Generation ◽  
Multiple Input ◽  
Input Multiple Output

Design of Massive Multiuser MIMO System to Mitigate Inter Antenna Interference and Multiuser Interference in 5G Wireless Networks

2020 ◽  
pp. 693-701 ◽  
Author(s):  
Naga Raju Challa ◽  
◽  
Kalapraveen Bagadi
Keyword(s):  
Communication Networks ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Matrix Computations ◽  
User Terminal ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Major Factors ◽  
Value Decomposition ◽  
User Interference

Massive Multi-user Multiple Input Multiple Output (MU‒MIMO) system is aimed to improve throughput and spectral efficiency in 5G communication networks. Inter-antenna Interference (IAI) and Multi-user Interference (MUI) are two major factors that influence the performance of MU–MIMO system. IAI arises due to closely spaced multiple antennas at each User Terminal (UT), whereas MUI is generated when one UT comes in the vicinity of another UT of the same cellular network. IAI can be mitigated by the use of a pre-coding scheme such as Singular Value Decomposition (SVD) and MUI can be cancelled through efficient Multi-user Detection (MUD) schemes. The highly complex and optimal Maximum Likelihood (ML) detector involves a large number of computations, especially when in massive structures. Therefore, the local search-based algorithm such as Likelihood Ascent Search (LAS) has been found to be a better alternative for mitigation of MUI, as it results in near optimal performance using lesser number of matrix computations. Most of the literature have been aimed at mitigating either IAI or MUI, whereas the proposed work presents SVD pre-coding and LAS MUD to mitigate both IAI and MUI. Simulation results indicate that the proposed scheme can attain near-optimal bit error rate (BER) performance with fewer computations.

scholarly journals A MMSE-based Beamforming Algorithm for MIMO Point-to-Point Full-Duplex Communication Systems

2017 ◽  
Vol 1 (3) ◽  
pp. 72
Author(s):  
Tu Bui-Thi-Minh ◽  
Xung Le ◽  
Vien Nguyen-Duy-Nhat
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Full Duplex ◽  
Rate Maximization ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Point To Point ◽  
Transmitting Antenna ◽  
Beamforming Algorithm

In this paper, we focus on the precoding design for sum rate maximization while considering the effects of residual SI for point – to-point multiple input/multiple output (MIMO) Full-Duplex systems. The MMSE-based beamforming algorithm was proposed to cancel the SI. The results shown that, the self-interference cancellation is done by matrix precoding at the transmitter if the total number of transmitting antenna of two nodes is greater than the number of receiving antenna of one node. The Bit Error Rate (BER) was also evaluated in the simulation.

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.

scholarly journals Textile Multiantenna Technology and Relaying Architectures for Emergency Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Estefanía Crespo-Bardera ◽  
Adrián Vega Delgado ◽  
Aarón Garrido Martín ◽  
Alfonso Fernández-Durán ◽  
Matilde Sánchez-Fernández
Keyword(s):  
Communication Networks ◽  
High Reliability ◽  
Multiple Input Multiple Output ◽  
Communication Technologies ◽  
Relay Nodes ◽  
Lte Advanced ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Emergency Systems

Every year around 200 million people are affected by hazards of different nature. In most of these situations public protection and disaster relief personnel are usually the first responders to provide help. To provide differential relief coverage in these scenarios, novel communication and network functionalities are being demanded, relegating today’s narrowband private radio (PMR) emergency systems to the background. These are data-support, increased coverage, broadband communication, and high reliability which will be addressed by novel communication technologies such as Long Term Evolution (LTE), LTE Advanced-pro, and future 5G. In this work we tackle two key technological solutions for future emergency communication networks such as an architecture based on relay nodes and enhanced user equipment by means of multiple-input-multiple-output (MIMO) techniques.

scholarly journals Joint Source-Relay Optimization for MIMO Full-Duplex Bidirectional Wireless Sensor Networks with SWIPT

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1827 ◽  
Author(s):  
Dan Liu ◽  
Zhigang Wen ◽  
Xiaoqing Liu ◽  
Shan Li ◽  
Junwei Zou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Full Duplex ◽  
Wireless Sensor ◽  
Local Optimum ◽  
Relay Nodes ◽  
Multiple Input ◽  
Input Multiple Output

The simultaneous wireless information and power transfer (SWIPT) technique has been considered as a promising approach to prolong the lifetime of energy-constraint wireless sensor networks (WSNs). In this paper, a multiple-input multiple-output (MIMO) full-duplex (FD) bidirectional wireless sensor network (BWSN) with SWIPT is investigated. Based on minimum total mean-square-error (total-MSE) criterion, a joint optimization problem for source and relay beamforming and source receiving subject to transmitting power and harvesting energy constraints is established. Since this problem is non-convex, an iterative algorithm based on feasible point pursuit-successive convex approximation (FPP-SCA) is derived to obtain a local optimum. Moreover, considering the scenarios in which source and relay nodes equipped with the same and different numbers of antennas, a low-complexity diagonalizing design-based scheme is employed to simplify each non-convex subproblem into convex problems and to reduce the computational complexity. Numerical results of the total-MSE and bit error rate (BER) are implemented to demonstrate the performance of the two different schemes.

Sign in / Sign up

Export Citation Format

Share Document