Adaptive virtual MIMO single cluster optimization in a small cell

Kanakis, T., Opoku Agyeman, M. and Bakaoukas, A. (2016) Adaptive virtual MIMO single cluster optimization in a small cell.Paper presented to: 7th International Conference on Cloud Computing, Data Science & Engineering, Amity University, Noida, India, 12-13 January 2017. (Accepted)

Abstract

Adaptive Virtual MIMO optimized in a single cluster of small cells is shown in this paper to achieve near Shannon
channel capacity when operating with partial or no Channel State Information. Although, access links have enormously increased in the recent years, the operational system complexity remains linear regardless of the number of access nodes in the system proposed.

Adaptive Virtual MIMO optimized in a single cluster performs a theoretical information spectral efficiency, almost equal to that of the upper bounds of a typical mesh network, up to 43 bits/s/Hz at a SNR of 30dB while the BER performance remains impressively low hitting the 10−6 at an SNR of about 13 dB when the theoretical upper bound of an ideal small cell mesh network achieves the 10−6 at a SNR of 12.5 dB. In addition, in a sub-optimum channel condition, the channel capacity and BER performance of the proposed solution is shown to drastically delay saturation even for the very high SNR.

All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

Network coding/forward error correction code for multiple-input multiple-output wireless communication system

Network coding/forward error correction code for multiple-input multiple-output wireless communication system

Al Barrak, A., Al-Sherbaz, A., Kanakis, T. and Crockett, R. G. M.

8th Manchester Metropolitan University (MMU) Postgraduate Research Conference 2015: Innovation, Manchester Metropolitan University, 05 November 2015.

Abstract

A reliable wireless communication channel is amongst the most important issues in a wireless network. Due to its nature, a reliable wireless communication channel is a challenge to provide. Wireless channel diversity is an efficient technique to achieve reliable transmission. Multi-antenna exploits spatial diversity as a method that has been proved to drastically increase channel capacity while keeping bit error rates (BER) near Shannon (lower bound) limits.
Forward error correction code (FEC) or channel coding is an error control technique that is used to provide a time diversity to immunize data against errors over the noisy and unreliable wireless channel (Duman & Ghrayeb, 2007). The main idea behind FEC is that the transmitter encodes data by using error correction code (ECC) to add redundancy. This redundancy allows the receiver to detect and correct a specific number of bits in error - at a time - that may occur in the data stream.
Multiple-input multiple-output (MIMO) systems combined with channel coding are shown to improve system BER and channel capacity performance in wireless communications. The combination is often referred to as a coded MIMO system.
The aim of this research is to design or improve a FEC code algorithm for wireless communication network. This algorithm should be suitable to combine with MIMO system and be able to detect and correct the corrupted data in order to decrease the BER and increase wireless channel efficiency. The computational complexity and the data overhead will be used to measure the performance efficiency of the proposed algorithm.

To read more click here.

Al Barrak, A., Al-Sherbaz, A., Kanakis, T. and Crockett, R. G. M. (2015) Network coding/forward error correction code for multiple-input multiple-output wireless communication system. Workshop presented to: 8th Manchester Metropolitan University (MMU) Postgraduate Research Conference 2015: Innovation, Manchester Metropolitan University, 05 November 2015.


If you'd like to find out more about Computing at the University of Northampton go to: www.computing.northampton.ac.uk. All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with

Book Chapter: Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication (DOI: 10.1007/978-3-319-17765-6_1)

Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Ahmad Baheej Al-Khalil, 

Scott Turner, 

Ali Al-Sherbaz

pp. 3-11.

In: Communication Technologies for Vehicles 8th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2015, Sousse, Tunisia, May 6-8, 2015. Proceedings

Editors: Kassab, M., Berbineau, M., Vinel, A., Jonsson, M., Garcia, F., Soler, J. (Eds.)

DOI

10.1007/978-3-319-17765-6_1

Preview of the article: http://www.springer.com/gp/book/9783319177649# 




Abstract


Vehicular ad hoc networks VANETs has recently received significant attention in intelligent transport systems (ITS) research. It provides the driver with information regarding traffic and road conditions which is needed to reduce accidents, which will save many people’s lives. In Vehicle-to-vehicle V2V communication the high-speed mobility of the nodes is the challenge, which significantly affects the reliability of communication. In this paper the utilising of SCM-MIMO channel model, (which is based on V-BLAST channel coding) is present to evaluate the performance of the PHY layer in V2V communication. The simulation results observed that the SCM model can overcome the propagation issues such as path loss, multipath fading and shadowing loss. The simulation considered three different environments, high, medium and low disruptions in urban traffic.








References

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• Kumar, R., Dave, M. (2011) A Comparative Study of Various Routing Protocols in VANET. IJCSI International Journal of Computer Science 8: pp. 1 
• Al-Khalil, A., Al-Sherbaz, A., Turner, S.: Enhancing the Physical Layer in V2V Communication Using OFDM-MIMO Techniques. In: PGNet, Liverpool (2013) 
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• Nguyen, D., Garcia-Luna-Aceves, J.: A Practical Approach to Rate Adaptation for Multi-Antenna Systems. In: 19th IEEE International Conference on Network Protocols, Vancouver (2011) 
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• Dok, H., Fu, H., Echevarria, R., Weerasi, H.: Privacy Issues of Vehicular Ad-Hoc Networks 3 (2010) 
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• Wu, Y., Peng, X., Song, Y. (2011) A Symbol-wise Ordered Successive Interference Cancellation Detector for Layered Space-Time Block Codes. International Journal of Digital Content Technology and its Applications 5: pp. 4 
• Shichuan, M., Deborah, D., Hamid, S., Yaoqing, Y.: An Extension of the 3GPP Spatial Channel Model in outdoor-to-indoor environments. In: 3rd European Conference on Antennas and Propagation, EuCAP 2009, EU (2009) 
• Baum, D.S., Hansen, J., Galdo, G.D., Milojevic, M., Salo, J., Kyösti, P.: An Interim Channel Model for Beyond-3G Systems: Extending the 3GPP Spatial Channel Model (SCM). In: 2005 IEEE 61st Vehicular Technology Conference, VTC 2005-Spring (2005) 
• Xirouchakis, I.: Mathworks (July 31, 2008), www.mathworks.co.uk , http://www.mathworks.co.uk/matlabcentral/fileexchange/20911-spatial-channel-model-for-mimo-simulations-a-ray-based-simulator-based-on-3gpp-tr-25-996-v-6-1-0 (accessed July 02 2013) 
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If you'd like to find out more about Computing at the University of Northampton go to: www.computing.northampton.ac.uk. All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with

Enhancing the Physical Layer in V2V Communication Using OFDM – MIMO Techniques

The following paper has recently being presented by Ahmad Al-Khalil at The 14th Annual PostGraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting (PGNET 2013) in Liverpool 24-25th June 2013.

Enhancing the Physical Layer in V2V Communication Using OFDM – MIMO Techniques

Ahmad Baheej Al-Khalil, Ali Al-Sherbaz, Scott Turner

School of Science and Technology 

The University of Northampton 

St. George Avenue, Northampton NN2 6JD 

{ahmad.al-khalil, ali.al-sherbaz, scott.turner}@northampton.ac.uk 

Abstract 
Vehicular Ad hoc network (VANET) has recently been attracting the attention of researchers as a new technology in the wireless communication system. Vehicle-to-vehicle V2V communication can be considered an important way to help the drivers to satisfy requirements such as less congestion, accident 
warning, road exploration, etc. The propagation issues such as multipath fading significantly affect the reliability of V2V 

The goal of this work is to enhance the performance of the physical layer PHY in V2V communication. However, the cellular phone channel has been used to evaluate the possibility of apply it in the vehicular communication V2V. The simulation results observed that the transmitted signal is affected by a 
multipath fading channel. In order to overcome this problem two techniques are used: Orthogonal Frequency Division Multiplexing (OFDM) technique and Multiple-Input-MultipleOutput (MIMO) diversity technique. The simulation results showed that the OFDM technique overcomes the multipath fading with high transmission power. On the other hand, MIMO diversity technique called Alamouti Space-Time Code for two transmitters and two receivers (MIMO 2x2) is used to improve the error degradation with less transmission power. 


The full text of the paper is available at: http://www.cms.livjm.ac.uk/pgnet2013/Proceedings/papers/1569763289.pdf

Supervisors
Dr Ali Al-Sherbaz
Dr Scott Turner
Dr Yinghui Zhang