An Analytical Framework in OFDM Wireless Networks Servicing Random or Quasi-Random Traffic
Source abstract
Abstract
We consider the downlink of an orthogonal frequency division multiplexing (OFDM)-based cell that services calls from many service-classes. The call arrival process is random (Poisson) or quasi-random, i.e., calls are generated by an infinite or a finite number of sources, respectively. In order to determine congestion probabilities and resource utilization, we model the cell as a multirate loss model. Regarding the call admission, we consider the restricted accessibility, the bandwidth reservation (BR), and the complete sharing (CS) policies. In a system of restricted accessibility, a new call may be blocked even if resources do exist. In a BR system, subcarriers can be reserved in favor of calls of high subcarrier requirements. Finally, in a CS system, a new call is blocked due to resource unavailability. In all three policies, we show that there exist recursive formulas for the determination of the various performance measures. Based on simulation, the accuracy of the proposed formulas is found to be quite satisfactory.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Wireless Network Optimization · Wireless Communication Networks Research · Advanced MIMO Systems Optimization
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Affiliations
Department of Informatics & Telecommunications, University of Peloponnese, Tripolis 221-31, Greece
Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani 501-00, Greece
Faculty of Electronics and Telecommunications, Poznan University of Technology, 609-65 Poznan, Poland
Department of Electrical and Computer Engineering, University of Patras, Patras 265-04, Greece
References (60)
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1. Moscholios, I.D., and Logothetis, M.D. (2019). Efficient Multirate Teletraffic Loss Models beyond Erlang, Wiley IEEE Press.10.1002/9781119426974 ↗
2. Stasiak, M., Głąbowski, M., Wisniewski, A., and Zwierzykowski, P. (2011). Modeling and Dimensioning of Mobile Networks: From GSM to LTE, Wiley.10.1002/9780470976036 ↗
3. Fundamental trade-offs between resource separation and resource share for quality of service guarantees10.1049/iet-net.2013.0120 ↗
4. Bouloukakis, G., Moscholios, I.D., Georgantas, N., and Issarny, V. (2017, January 21–25). Performance modeling of the middleware overlay infrastructure of mobile things. Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France.10.1109/ICC.2017.7997451 ↗
5. Packet-level modeling of cooperative diversity: A queueing network approach10.1109/ACCESS.2018.2832130 ↗
6. Benson, K., Bouloukakis, G., Issarny, V., Mehrotra, S., Moscholios, I., and Venkatasubramanian, N. (2018, January 10–14). FIREDEX: A prioritized IoT data exchange middleware for emergency response. Proceedings of the ACM/IFIP/USENIX 19th International Middleware Conference, Rennes, France.10.1145/3274808.3274830 ↗
7. Non-full-available queueing model of an EON node10.1016/j.osn.2018.01.004 ↗
8. Scheduling data analytics work with performance guarantees: Queuing and machine learning models in synergy10.1007/s10586-016-0563-z ↗
9. Ataie, E., Gianniti, E., Ardagna, D., and Movaghar, A. (2016, January 24–27). A combined analytical modeling machine learning approach for performance prediction in mapreduce jobs in cloud environment. Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (IEEE SYNASC), Timisoara, Romania.10.1109/SYNASC.2016.072 ↗
10. Abbasi, A., Jin, H., and Wu, S. (2015, January 7–9). A software-defined cloud resource management framework. Proceedings of the Asia-Pacific Services Computing Conference, Bangkok, Thailand.10.1007/978-3-319-26979-5_5 ↗
11. Abbasi, A., and Jin, H. (2018). v-Mapper: An application-aware resource consolidation scheme for cloud data centers. Future Internet, 10.10.3390/fi10090090 ↗
12. Power demand control scenarios for smart grid applications with finite number of appliances10.1016/j.apenergy.2015.10.008 ↗
13. State-dependent bandwidth sharing policies for wireless multirate loss networks10.1109/TWC.2017.2712153 ↗
14. Modelling of multiservice networks with separated resources and overflow of adaptive traffic
15. Predictive reservation for handover optimization in two-tier heterogeneous cellular networks10.1007/s11277-017-4337-6 ↗
16. User mobility in a 5G cell with quasi-random traffic under the complete sharing and bandwidth reservation policies10.3103/S0146411619040047 ↗
17. Vahidi, V., and Saberinia, E. (2018, January 12–15). OFDM high speed train communication systems in 5G cellular networks. Proceedings of the 15th IEEE Annual Consumer Communications Networking Conference (IEEE CCNC), Las Vegas, NV, USA.10.1109/CCNC.2018.8319172 ↗
18. Filtered OFDM systems, algorithms, and performance analysis for 5G and beyond10.1109/TCOMM.2017.2771242 ↗
19. Modulation in the air: Backscatter communication over ambient OFDM carrier10.1109/TCOMM.2017.2772261 ↗
20. Modeling and throughput analysis of an ADO-OFDM based relay-assisted VLC system for 5G networks10.1109/ACCESS.2018.2817487 ↗
21. Energy efficiency optimization for OFDM based 5G wireless networks with simultaneous wireless information and power transfer10.1109/ACCESS.2018.2883555 ↗
22. Sultana, A., Fernando, X., and Zhao, L. (2016, January 18–21). Power allocation using geometric water filling for OFDM-based cognitive radio networks. Proceedings of the 2016 IEEE 84th Vehicular Technology Conference (IEEE VTC-Fall), Montreal, QC, Canada.10.1109/VTCFall.2016.7881172 ↗
23. Generalized queueing model for call blocking probability and resource utilization in OFDM wireless networks10.1109/LCOMM.2011.051011.101462 ↗
24. Comments on call blocking probability and bandwidth utilization of OFDM subcarrier allocation in next-generation wireless networks10.1109/LCOMM.2008.080161 ↗
25. Call blocking probability and bandwidth utilization of OFDM subcarrier allocation in next-generation wireless networks10.1109/LCOMM.2006.02020. ↗
26. Moscholios, I., Vassilakis, V., Panagoulias, P., and Logothetis, M. (2018, January 18–20). On call blocking probabilities and resource utilization in OFDM wireless networks. Proceedings of the 2018 11th International Symposium on Communication Systems, Networks Digital Signal Processing (CSNDSP), Budapest, Hungary.10.1109/CSNDSP.2018.8471839 ↗
27. Queueing analysis for OFDM subcarrier allocation in broadband wireless multiservice networks10.1109/T-WC.2008.070495 ↗
28. Blocking in a shared resource environment with batched Poisson arrival processes10.1016/0166-5316(94)00029-8 ↗
29. The Erlang multirate loss model with batched Poisson arrival processes under the bandwidth reservation policy10.1016/j.comcom.2010.04.039 ↗
30. Performance modelling of a multirate loss system with batched Poisson arrivals under a probabilistic threshold policy10.1049/iet-net.2017.0216 ↗
31. Ezhilchelvan, P., and Mitrani, I. (2017, January 5–7). Multi-class resource sharing with batch arrivals and complete blocking. Proceedings of the International Conference on Quantitative Evaluation of Systems (QEST), Berlin, Germany. Lecture Notes in Computer Science.10.1007/978-3-319-66335-7_10 ↗
32. The exact evaluation of multi-service loss system with access control
33. An ON-OFF multirate loss model of finite sources10.1093/ietcom/e90-b.7.1608 ↗
34. Głąbowski, M., and Kaliszan, A. (2011, January 2–5). Convolution algorithm for overflow calculation in integrated services networks. Proceedings of the 17th Asia Pacific Conference on Communications (APCC), Sabah, Malaysia.10.1109/APCC.2011.6152847 ↗
35. Traffic engineering for multicast connections in multiservice cellular network10.1109/TII.2012.2188902 ↗
36. A probabilistic threshold-based bandwidth sharing policy for wireless multirate loss networks10.1109/LWC.2016.2547913 ↗
37. Analytical modelling of multiservice switching networks with multiservice sources and resource management mechanisms10.1007/s11235-017-0305-4 ↗
38. Modelling restricted accessibility for wireless multi-service systems
39. Computational algorithms for blocking probabilities in circuit-switched networks10.1007/BF02023089 ↗
40. An algorithm to compute blocking probabilities in multi-rate multi-class multi-resource loss models10.2307/1427936 ↗
41. Optimal static pricing for a tree network10.1007/s10479-012-1115-4 ↗
42. Performance analysis of circuit-switched multi-service multi-rate networks with alternative routing10.1109/JLT.2013.2289925 ↗
43. Prioritized resource allocation for stressed networks10.1109/90.958330 ↗
44. Blocking in a shared resource environment10.1109/TCOM.1981.1094894 ↗
45. Roberts, J. (1981). A service system with heterogeneous user requirements. Performance of Data Communications Systems and Their Applications, North Holland.
46. Performance analysis of OCDMA PON configuration supporting multirate bursty traffic with retrials and QoS differentiation10.1016/j.osn.2014.02.005 ↗
47. Blocking probability approximations and bounds for best-effort calls in an integrated service system10.1109/TCOMM.2015.2494047 ↗
48. Uplink blocking probabilities in priority-based cellular CDMA networks with finite source population10.1587/transcom.2015EUP0010 ↗
49. Some teletraffic issues in optical burst switching with burst segmentation10.1049/el.2016.0137 ↗
50. Modelling overflow systems with distributed secondary resources10.1016/j.comnet.2016.08.015 ↗
51. Efficient radio resource allocation in SDN/NFV based mobile cellular networks under the complete sharing policy10.1049/iet-net.2017.0053 ↗
52. Call blocking probabilities in a two-link multi rate loss System for Poisson traffic10.1049/iet-net.2017.0223 ↗
53. Preemptive cloud resource allocation modeling of processing jobs10.1007/s11227-017-2226-0 ↗
54. Congestion probabilities in the X2 link of LTE Networks10.1007/s11235-018-00537-5 ↗
55. Dynamic multicriteria alternative routing for single-and multi-service reservation-oriented networks and its performance10.1007/s12243-019-00715-9 ↗
56. Panagoulias, P., Moscholios, I., and Logothetis, M. (2019, January 11–13). Performance metrics in OFDM wireless networks under the bandwidth reservation policy. Proceedings of the International Conference on Image Processing and Communications, Bydgoszcz, Poland.10.1007/978-3-030-31254-1_30 ↗
57. Hanczewski, S., Horiushkina, A., Stasiak, M., and Weissenberg, J. (2019, January 11–13). The analytical model of 5G networks. Proceedings of the International Conference on Image Processing and Communications, Bydgoszcz, Poland.10.1007/978-3-030-31254-1_35 ↗
58. Chousainov, I.-A., Moscholios, I., Kaloxylos, A., and Logothetis, M. (2019, January 19–21). Performance evaluation of a C-RAN supporting quasi-random traffic. Proceedings of the 2019 International Conference on Software, Telecommunications and Computer Networks (Softcom), Split, Croatia.10.23919/SOFTCOM.2019.8903712 ↗
59. Admission control techniques with application to broadband networks10.1016/0140-3664(94)90093-0 ↗
60. (2019, December 08). Simscript III. Available online: http://www.simscript.com.