Achievable Capacity with Spatial Channel Correlation in Massive MIMO Multi-Cell Systems

Massive Multi-Input and Multi-Output (MIMO) antenna system provides unlimited capacity by the spatial multiplexing and array gain. Since the data rate has been limited by the coherence interference due to pilot contamination (PC). In this paper, we propose transmit combine and precoding schemes to achieve asymptotic capacity in multi-cell scenario, when the number of base station antennas tends to infinity. The impact of spatial channel correlation on channel capacity is explored by considering the co-variance matrices of the user –terminals (UT)s .To do this, we presented linear processing schemes such as MMSE,MRC, and ZF.Where MMSE achieves high capacity in the presence of large-scale fading and PC. Since the diagonals of the channel covariance matrices were designed with non- zero Eigen values and linearly independent. The results outperform and obtain asymptotic limit, when the co-variance of UTs are linearly independent. The results were simulated by using MATLAB 2018b.

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The impact of base station antennas configuration on the performance of millimetre wave 5G networks

2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) ◽

10.1109/icufn.2017.7993869 ◽

2017 ◽

Cited By ~ 3

Author(s):

Naser Al-Falahy ◽

Omar Y. K. Alani

Keyword(s):

Base Station ◽

5G Networks ◽

Millimetre Wave ◽

Base Station Antennas ◽

The Impact

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In-vitro experiments to estimate the impact of EMI from cellular phone and base-station antennas on implantable cardiac pacemakers

IEEE International Symposium on Electromagnetic Compatibility ISEMC-02 ◽

10.1109/isemc.2002.1032819 ◽

2003 ◽

Cited By ~ 1

Author(s):

Y. Tarusawa ◽

T. Nojima ◽

T. Toyoshima

Keyword(s):

Cellular Phone ◽

Base Station ◽

In Vitro Experiments ◽

Cardiac Pacemakers ◽

Base Station Antennas ◽

The Impact

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Signal Detection Algorithms for Massive MIMO

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1049-1050.2063 ◽

2014 ◽

Vol 1049-1050 ◽

pp. 2063-2068

Author(s):

Xiao Tian Wang ◽

Long Xiang Yang

Keyword(s):

Signal Detection ◽

Massive Mimo ◽

Large Scale ◽

Mimo System ◽

Base Station ◽

Mobile Systems ◽

Detection Algorithms ◽

Fifth Generation ◽

Base Station Antennas ◽

Large Scale Antenna Systems

massive MIMO (also known as Large-Scale Antenna Systems),which is one of the key technologies for the fifth generation (5G) mobile systems, brings huge improvements in spectral efficiency and energy efficiency through the use of a large excess of antennas for base station. This paper analyses and simulates the performances of several signal detection algorithms under the massive MIMO system model. The results show that when the number of base station antennas is considerably larger than the number of users, even the simple signal detection algorithms can achieve good system performance.

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Sum Rate of Multiuser Large-Scale MIMO in the Presence of Antenna Correlation and Mutual Coupling

Wireless Communications and Mobile Computing ◽

10.1155/2019/7985414 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7

Author(s):

Yusheng Li ◽

Kang An ◽

Tao Liang ◽

Weixin Lu

Keyword(s):

System Performance ◽

Mutual Coupling ◽

Large Scale ◽

Mimo System ◽

Base Station ◽

Closed Form Expression ◽

Channel State ◽

Antenna Correlation ◽

Sum Rate ◽

The Impact

A multiuser large-scale MIMO system with antenna correlation and mutual coupling is investigated in this paper. Based on the maximum signal-to-interference-plus-noise ratio (SINR) criteria, the optimal beamforming (BF) vector at the base station (BS) for each user is first obtained using statistical channel state information (CSI). Then, a closed-form expression for the achievable sum rate is derived in terms of a finite number of generalized Meijer-G functions, which is applicable to an arbitrary number of array elements and/or users, and provides an efficient means of evaluating the system performance. Finally, numerical results are provided to confirm the validity of the theoretical analysis and show the impact of various channel parameters on the system performance.

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Limited Feedback Precoding for Massive MIMO

International Journal of Antennas and Propagation ◽

10.1155/2013/416352 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 16

Author(s):

Xin Su ◽

Jie Zeng ◽

Jingyu Li ◽

Liping Rong ◽

Lili Liu ◽

...

Keyword(s):

Massive Mimo ◽

Large Scale ◽

Multiple Input Multiple Output ◽

Limited Feedback ◽

Antenna System ◽

Base Station ◽

Array Antenna ◽

Codebook Design ◽

Input Multiple Output ◽

Scenarios Simulation

The large-scale array antenna system with numerous low-power antennas deployed at the base station, also known as massive multiple-input multiple-output (MIMO), can provide a plethora of advantages over the classical array antenna system. Precoding is important to exploit massive MIMO performance, and codebook design is crucial due to the limited feedback channel. In this paper, we propose a new avenue of codebook design based on a Kronecker-type approximation of the array correlation structure for the uniform rectangular antenna array, which is preferable for the antenna deployment of massive MIMO. Although the feedback overhead is quite limited, the codebook design can provide an effective solution to support multiple users in different scenarios. Simulation results demonstrate that our proposed codebook outperforms the previously known codebooks remarkably.

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mmWave Backhaul Testbed Configurability Using Software-Defined Networking

Wireless Communications and Mobile Computing ◽

10.1155/2019/8342167 ◽

2019 ◽

Vol 2019 ◽

pp. 1-24 ◽

Cited By ~ 1

Author(s):

Ricardo Santos ◽

Konstantin Koslowski ◽

Julian Daube ◽

Hakim Ghazzai ◽

Andreas Kassler ◽

...

Keyword(s):

Channel Assignment ◽

Large Scale ◽

High Capacity ◽

Software Defined Networking ◽

Adaptive Mesh ◽

Base Stations ◽

Small Cells ◽

Data Traffic ◽

Wireless Backhaul ◽

The Impact

Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.

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Novel Base Station MIMO Antennas with Enhanced Spectral Efficiencies Using Angular Reuse

International Journal of Antennas and Propagation ◽

10.1155/2015/150301 ◽

2015 ◽

Vol 2015 ◽

pp. 1-7

Author(s):

Miguel Mora-Andreu ◽

David A. Sánchez-Hernández

Keyword(s):

Antenna Array ◽

Spatial Diversity ◽

Base Station ◽

Polarization Diversity ◽

The Novel ◽

Mimo Antenna ◽

Mimo Antennas ◽

Base Station Antennas ◽

Array Performance ◽

Diversity Technique

The true polarization diversity (TPD) technique is combined with the spatial diversity technique in novel MIMO antenna array geometries with a large number of elements. The use of a large number of elements requires some angular reuse within the array for polarization diversity. With designs compatible with existing base station antenna array configurations, the novel geometries with combining diversity schemes are shown to be able to achieve near the maximum spectral efficiencies. True polarization diversity (TPD) schemes are found to be an excellent complement to more conventional spatial diversity schemes for obtaining optimum MIMO array performance in base station antennas.

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Interference Analysis for Vehicle-to-Vehicle Communications at 28 GHz

Electronics ◽

10.3390/electronics9020262 ◽

2020 ◽

Vol 9 (2) ◽

pp. 262 ◽

Cited By ~ 3

Author(s):

Omar A. Saraereh ◽

Ashraf Ali ◽

Imran Khan ◽

Khaled Rabie

Keyword(s):

Communication Networks ◽

Large Scale ◽

Vehicular Networks ◽

High Capacity ◽

Ergodic Capacity ◽

Vehicular Communication ◽

Interference Analysis ◽

Vehicular Communication Networks ◽

On The Road ◽

The Impact

High capacity and ultra-reliable vehicular communication are going to be important aspects of beyond 5G communication networks. However, the vehicular communication problem becomes complex at a large scale when vehicles are roaming on the road, while simultaneously communicating with each other. Moreover, at higher frequencies (like 28 GHz), the dynamics of vehicular communication completely shift towards unpredictability and low-reliability. These factors may result in high packet error and a large amount of interference, resulting in regular disruptions in communications. A thorough understanding of performance variations is the key to moving towards the next generation of vehicular networks. With this intent, this article aims to provide a comprehensive interference analysis, wherein the closed-form expressions of packet error probability (PEP) and ergodic capacity are derived. Using the expression of the PEP, diversity analysis is provided which unveils the impact of channel nonlinearities on the performance of interference-constrained vehicular networks. The insights provided here are expected to pave the way for reliable and high capacity vehicular communication networks.

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