Abstract
The third Generation Partnership Project (3GPP) Long-Term Evolution (LTE) is becoming the first truly global wireless communication standard. LTE system is expected to have an ability to sense the wireless environment. To evaluate the performance of cognitive LTE network, the design of system level simulation platform is proposed. This platform realizes relevant spectrum sensing algorithm and dynamic spectrum allocation strategy. The architecture of this simulation platform is introduced. Based on LTE system level simulator, cognitive radio function is implemented and five modules are developed, including spectrum sensing module, spectrum allocation module, spectrum switching module, link adaptation module, link–system interface module. Class diagram of the simulation platform is also given in this paper. Simulation flow chart introduces the working mechanism in detail. Finally network performance of cognitive LTE system, including average throughput, average spectral efficiency, detection probability, false alarm probability, miss alarm probability, is evaluated using this platform.
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3GPP TS 36.300: Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access (E-UTRAN); Overall description; Stage 2
3GPP TR 36.816: Evolved Study on Management of Evolved Universal Terrestrial Radio Access Network (E-UTRAN) and Evolved Packet Core (EPC)
(2009) 3GPP RP-091440, Work Item Description: Carrier Aggregation for LTE
Xiao J, Hu RQ, Qian Y et al (2013) Expanding LTE network spectrum with cognitive radios: from concept to implementation. Wirel Commun IEEE 20(2):12–19
Hei C, Niu K, He Z et al (2013) A design scheme of cognitive LTE-A radio network, microwave, antenna, propagation and EMC technologies for wireless communications (MAPE). In: 2013 IEEE 5th International Symposium on. IEEE. pp 65–70
Passas V, Makris N, Keranidis S et al (2014) Towards the efficient performance of LTE-A systems: implementing a cell planning framework based on cognitive sensing cognitive cellular systems (CCS). In: 2014 1st International Workshop on. IEEE. pp 1–5
AlQerm I, Shihada B, Shin KG (2013) Enhanced cognitive radio resource management for LTE systems wireless and mobile computing, networking and communications (WiMob). In: 2013 IEEE 9th International Conference on. IEEE. pp 565–570
Yu HG, Tang WB, Li SQ (2014) Joint optimal sensing time and powerallocation for multi-channel cognitive radio networks considering sensing-channel selection. Sci China Inf Sci 57(4):1–8
Piro G, Grieco LA, Boggia G et al (2011) Simulating LTE cellular systems: an open-source framework. IEEE Trans Veh Technol 60(2):498–513
Chen L, Chen W, Wang B et al (2011) System-level simulation methodology and platform for mobile cellular systems. IEEE Commun Mag 49(7):148–155
Gao Y, Xue P, Li Y et al (2014) Implementation and performance analysis of HARQ in 3GPP LTE system-level simulation unifying electrical engineering and electronics engineering. Springer, New York, pp 1583–1591
Ikuno JC, Wrulich M, Rupp M (2010) System level simulation of LTE networks. In: Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st. IEEE. pp 1–5
Khan RT, Amin MR (2014) Traffic Analysis of a Cognitive Radio Network Based on the Concept of Medium Access Probability. J Inf Process Syst 10(4):602–617
Habiba U, Amin MR (2014) Performance evaluation of the VoIP services of the cognitive radio system, based on DTMC. J Inf Process Syst 10(1):119–131
Benlamri R, Zhang X (2014) Context-aware recommender for mobile learners. Hum-Centric Comput Inf Sci 4(1):1–34
Kumar KPK, Geethakumari G (2014) Detecting misinformation in online social networks using cognitive psychology. Hum-Centric Comput Inf Sci 4(1):1–22
Lu YH, Mei YN, Wang W et al (2014) Multi-channel power allocation basedon market competitive equilibrium in cognitive radio networks. Sci China Inf Sci 57(2):1–12
Ahn H, Jung B, Park JR (2014) Effect of reagents on optical properties of asbestos and remote spectral sensing. J Converg vol 5(3)
Tishita TA, Islam MI (2014) Spectrum sensing and data transmission in a cognitive relay network considering spatial false alarms. J Inf Process Syst 10(3):459–470
Acknowledgments
This work is supported by the 863 project (No. 2014AA01A701) and the State Major Science and Technology Special Projects (No. 2014ZX03004002).
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Zhang, Y., Fang, Y., Song, M. et al. System level simulation platform for Cognitive LTE. J Supercomput 72, 2623–2634 (2016). https://doi.org/10.1007/s11227-015-1537-2
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DOI: https://doi.org/10.1007/s11227-015-1537-2