Cellular Informatics and Performance Evaluation

Cellular Informatics and Performance Evaluation

A cellular network is a radio network made up of a number of radio cells (or just cells) each served by at least one fixed-location transceiver known as a cell site or base station (BS). These cells cover different land areas to provide radio coverage over a wider area than the area of one cell, so that a variable number of portable transceivers can be used in any one cell and moved through more than one cell during transmission.

With rapid developments in wireless technologies various types of wireless networks including 3G, WLAN, LTE, and 5G cellular networks co-exist in modern communications. Modelling these systems is an important challenge to identify the areas of improvement and offer new handover protocols. In this research analytical models and simulations are considered based on the deployment of guard channels and buffering at base stations/access-points.

Information and communication technologies are proposing promising approaches with their great potential to aid us in emergency and disaster situations as well. Unfortunately, many people around the world are adversely affected by numerous unexpected disasters such as earthquakes, tsunami, volcanic eruptions, and floods. The need for communication and other types of information exchange services is in very high demand during and after such disasters.

There are three techniques used for performance evaluation of computer and communication systems. These are benchmarking, simulation, and analytical modelling. The process of performance analysis by actual measurements is called benchmarking or measurement and the input workloads used are the benchmarks. Simulation is mimicking the operation of a real world process over time. This approach is very flexible, and it gives fairly accurate and acceptable results, but for sufficient accuracy, simulations require relatively high computation times. Both benchmarking and simulation are experimental approaches and they are costly especially in terms of time. Analytical modelling and simulation enables performing analysis more quickly and cost effectively, without the need for prototyping. This is very important for identifying and solving performance and availability problems that would appear otherwise later in the design process.

In our research we use simulations, analytical models and test beds in evaluation of communication systems and development of new protocols for buffer management, channel allocation, mobility, medium access control, traffic integration, horizontal and vertical handovers etc.

Faculty Members:

Enver Ever

İdil Candan Gürses

Related Projects:

2016: Newton Institutional Links grants, British Council ID-216429427: Working title of the Institutional Links collaboration: Location-based Control and Management System for Safety Warning and Emergency Rescuing Services using LTE D2D Technology. This collaboration is established between Middle East Technical University, Middlesex University, King's College London, and Aeroflex/Cobham as the industrial partner.

Related Publications:

Journal Publications:       

 

1. Al-Turjman, F., Mostarda, L. Ever E., Darwish A., and Khalil, N. S, (2019), "Network Experience Scheduling and Routing Approach For Big Data Transmission in the Internet of Things." IEEE Access.

2. Deebak B.D., Ever E., Al-Turjman F., (2018) “Analyzing enhanced real-time uplink scheduling algorithm in 3GPP LTE-advanced networks using multimedia systems”. Trans Emerging Tel Tech, 2018. ISSN: 2161-3915. DOI: 10.1002/ett.3443.1

3. Ever E., Al-Turjman F., Zahmatkesh H., and Riza M., (2017) “Modelling Green HetNets in Presence of Failures for Dynamic Large-Scale Applications: A Case-study for Fault Tolerant Femtocells in Smart cities”, Elsevier Computer Networks Journal, 2017. DOI: 10.1016/j.comnet.2017.03.016.1.    

4. Al-Turjman, F., Ever, Y. K., Ever, E., Nguyen, H. X., & David, D. B. (2017), "Seamless Key Agreement Framework for Mobile-Sink in IoT Based Cloud-Centric Secured Public Safety Sensor Networks." IEEE Access 5 (2017): 24617-24631.1.     

5. Chu, Z., Nguyen, H. X., Le, T. A., Karamanoglu, M., Ever, E., & Yazici, A. (2017). “Secure Wireless Powered and Cooperative Jamming D2D Communications”. IEEE Transactions on Green Communications and Networking.

6. Gemikonakli, E., Ever, E., Mapp, G., and Gemikonakli, O. (2016). “Admission control and buffer management of wireless communication systems with mobile stations and integrated voice and data services" Telecommunication Systems, published online, ISSN: 1572-9451. pp:1-13. doi: 10.1007/s11235-016-0259-y.

7. Kirsal, Y., Ever, E., Kocyigit, A., Gemikonakli, O., and Mapp, G. (2015). “Modelling and analysis of vertical handover in highly mobile environments”. The Journal of Supercomputing, Volume 71, Issue 12, ISSN: 0920-8542, pp: 4352-4380.

8. Kirsal-Ever, Y., Kirsa,l, Y., Ever, E.,  Gemikonakli, O., (2015), “Analytical Modelling and Performability Evaluation of Multi-Channel WLANs with Global Failures”. International Journal of Computers Communications & Control, Volume 10, Issue 4, ISSN: 1841-9836.  pp. 551-566.

9. Ever, E., (2014), “Fault-Tolerant Two-Stage Open Queuing Systems with Server Failures at Both Stages”. IEEE Communications Letters. Volume 18, Issue 9, ISSN: 1089-7798, pp: 1523-1526 .

10. Ever, E., Gemikonakli, O.,  Kocyigit, A., and Gemikonakli, E., (2013), “A Hybrid Approach to Minimize State Space Explosion Problem for the Solution of Two Stage Tandem Queues”. Journal of Network and Computer Applications, Volume 36, Issue 2, ISSN: 1084-8045. pp. 908-926.

11. Ever, E., Gemikonakli, O.  and Chakka, R., (2009),“Analytical Modelling and Simulation of Small Scale, Typical and Highly Available Beowulf  Clusters with Breakdowns and Repairs”. Journal of Simulation Modelling Practice and Theory, Volume 17, Issue 2, ISSN:1569-190X.  pp. 327-347.

 

International Conference Papers:

 

12. Chu, Z., T. A. Le, H. X. Nguyen, M. Karamanoglu, Z. Zhu, A. Nallanathan, E. Ever, A. Yazici."Robust Design for MISO SWIPT System with Artificial Noise and Cooperative Jamming." In GLOBECOM 2017-2017 IEEE Global Communications Conference, , Singapore, pp. 1-6. IEEE, 2017.

13. Chu, Z., H. X. Nguyen, T. A. Le, M. Karamanoglu, D. To, E. Ever, F. Al-Turjman, and A. Yazici. "D2D cooperative communications for disaster management." in Proceedings of, IEEE  24th International Conference on Telecommunications (ICT),  Limassol, Cyprus, pp. 1-5. IEEE, 2017.

14. A. Kamran, H. X. Nguyen, P. Shah, Q. T. Vien, and E. Ever. "D2D multi-hop relaying services towards disaster communication system." in Proceedings of, IEEE  24th International Conference on Telecommunications (ICT),  Limassol, Cyprus, pp. 1-5. IEEE, 2017.

15. C. Zheng, H. X. Nguyen, T. A. Le, M. Karamanoglu, D. To, E. Ever, F. Al-Turjman, and A. Yazici. "Game theory based secure wireless powered D2D communications with cooperative jamming." in Proceedings of, IEEE  Wireless Days 2017,  Porto, Porteguese, pp. 95-98. IEEE, 2017.

16. Chakka, R., Ever, E., Gemikonakli, O., (2007) “Joint-State Modelling for Open Queuing Networks with Breakdowns, Repairs and Finite Buffers”, in IEEE Proceedings of 15 th Annual Meeting of the IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTs 07), Bogazici University Istanbul, October 2007. ISBN:978-1-4244-1854-1.