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CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
UNLICENSED SPECTRA FUSION AND INTERFERENCE COORDINATION FOR LTE
SYSTEMS
ABSTRACT
Unlicensed spectra fusion technology for LTE holds the promise of alleviating
the licensed spectra scarcity and enhancing capacity. It allows LTE to effectively
utilize the unlicensed spectra distributed over high frequency bands with
significant different propagation characteristics from its licensed spectra.
However, the interference caused by other systems over unlicensed spectra,
particularly the public unlicensed spectra, is viewed as the most serious
challenge. In this paper, aiming to guarantee the feasibility in existing LTE
systems, we design a novel unlicensed spectra fusion scheme based on the
popular standard TDDLTE systems. To mitigate the interference, we develop an
interference coordination scheme which is carried out in two stages: screen
the available unlicensed channels for every UE, and allocate unlicensed spectra
based on Hungarian algorithm. We have conducted extensive simulation study
and demonstrate that our proposed scheme can handle interference
coordination effectively and enhance throughput significantly.
CONLUSION:
In this paper, we have developed a novel unlicensed spectra fusion scheme for
LTE that can significantly improve the system capacity and effectively perform
interference coordination. Because of the particularity of the public unlicensed
spectra, the system procedures in our spectra fusion scheme differs from the
CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
existing LTE and have not been designed. Thus, one of our main contributions
is to design the system procedures of the unlicensed spectra fusion based on
the popular standard TDD-LTE. Based on these procedures, the interference
coordination scheme is developed in two stages: 1) To ensure that every UE is
assigned a channel with link quality satisfying the basic reliability requirement;
2) To maximize the system throughput with guaranteed fairness in the
unlicensed channel allocation scheme based on the Hungarian algorithm.
Finally, we have conducted extensive simulation studies and show that our
proposed scheme could make every unlicensed channel allocated to the UE
that has preferable link quality with higher received signal SINR and lower
transmission failure probability. It has been demonstrated that our proposed
scheme could achieve interference coordination on the unlicensed spectra
remarkably well. In addition, the simulation results on throughput confirm that
our proposed scheme possesses the outstanding performance on both
interference coordination and throughput enhancement
REFERENCES
[1] G. Staple and K. Werbach, “The End of Spectrum Scarcity [Spectrum
Allocation and utilization],” IEEE Spectrum, vol.41, no.3, pp.48-52, Mar. 2004.
[2] Federal Communications Commission, “Spectrum Policy Task Force,” Rep.
ET Docket, no.02-135, Nov. 2002.
CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
[3] L. Liu, Y. Q. Zhou, L. Tian and J. L. Shi, “CPC-Based Backward- Compatible
Network Access for LTE Cognitive Radio Cellular Networks,” IEEE
Communications Magazine, vol.53, no.7, pp.93-99, July. 2015.
[4] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communication,”
IEEE Transactions on Selected Areas in Communication, vol.23, no.2, Feb. 2005.
[5] Y. M. Shobowale and K. A. Hamdi, “A Unified Model for Interference
Analysis in Unlicensed Frequency Bands,” IEEE Transactions on Wireless
Communications, vol.8, no.8, Aug. 2009.
[6] Q. Zhao and A. Swami, “A Decision-theoretic Framework for Opportunistic
Spectrum Access,” IEEE Wireless Communication, vol.14, no.4, pp.14-20,
Aug.2007.
[7] A. Ghasemi and E. S. Sousa, “Fundamental Limits of Spectrum Sharing in
Fading Environments,” IEEE Transactions on Wireless Communications, vol.6,
no.2, pp.649-658, Feb. 2007.
[8] M. Gastpar, “On Capacity under Receive and Spatial Spectrumsharing
Constraints,” IEEE Transactions on Information Theory, vol.53, no.2, pp.471-
487, Feb.2007.
[9] X. Kang, Y. C. Liang, H. K. Garg and L. Zhang, “Sensingbased Spectrum
Sharing in Cognitive Radio Networks,” IEEE Transactions on Vehicular
Technology, vol.58, no.8, pp.4649- 4654, Oct. 2009.
CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
[10] S. Stotas and A. Nallanathan, “Enhancing the Capacity of Spectrum Sharing
Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol.60,
no.8, Oct. 2011.

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UNLICENSED SPECTRA FUSION AND INTERFERENCE COORDINATION FOR LTE SYSTEMS

  • 1. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com UNLICENSED SPECTRA FUSION AND INTERFERENCE COORDINATION FOR LTE SYSTEMS ABSTRACT Unlicensed spectra fusion technology for LTE holds the promise of alleviating the licensed spectra scarcity and enhancing capacity. It allows LTE to effectively utilize the unlicensed spectra distributed over high frequency bands with significant different propagation characteristics from its licensed spectra. However, the interference caused by other systems over unlicensed spectra, particularly the public unlicensed spectra, is viewed as the most serious challenge. In this paper, aiming to guarantee the feasibility in existing LTE systems, we design a novel unlicensed spectra fusion scheme based on the popular standard TDDLTE systems. To mitigate the interference, we develop an interference coordination scheme which is carried out in two stages: screen the available unlicensed channels for every UE, and allocate unlicensed spectra based on Hungarian algorithm. We have conducted extensive simulation study and demonstrate that our proposed scheme can handle interference coordination effectively and enhance throughput significantly. CONLUSION: In this paper, we have developed a novel unlicensed spectra fusion scheme for LTE that can significantly improve the system capacity and effectively perform interference coordination. Because of the particularity of the public unlicensed spectra, the system procedures in our spectra fusion scheme differs from the
  • 2. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com existing LTE and have not been designed. Thus, one of our main contributions is to design the system procedures of the unlicensed spectra fusion based on the popular standard TDD-LTE. Based on these procedures, the interference coordination scheme is developed in two stages: 1) To ensure that every UE is assigned a channel with link quality satisfying the basic reliability requirement; 2) To maximize the system throughput with guaranteed fairness in the unlicensed channel allocation scheme based on the Hungarian algorithm. Finally, we have conducted extensive simulation studies and show that our proposed scheme could make every unlicensed channel allocated to the UE that has preferable link quality with higher received signal SINR and lower transmission failure probability. It has been demonstrated that our proposed scheme could achieve interference coordination on the unlicensed spectra remarkably well. In addition, the simulation results on throughput confirm that our proposed scheme possesses the outstanding performance on both interference coordination and throughput enhancement REFERENCES [1] G. Staple and K. Werbach, “The End of Spectrum Scarcity [Spectrum Allocation and utilization],” IEEE Spectrum, vol.41, no.3, pp.48-52, Mar. 2004. [2] Federal Communications Commission, “Spectrum Policy Task Force,” Rep. ET Docket, no.02-135, Nov. 2002.
  • 3. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com [3] L. Liu, Y. Q. Zhou, L. Tian and J. L. Shi, “CPC-Based Backward- Compatible Network Access for LTE Cognitive Radio Cellular Networks,” IEEE Communications Magazine, vol.53, no.7, pp.93-99, July. 2015. [4] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communication,” IEEE Transactions on Selected Areas in Communication, vol.23, no.2, Feb. 2005. [5] Y. M. Shobowale and K. A. Hamdi, “A Unified Model for Interference Analysis in Unlicensed Frequency Bands,” IEEE Transactions on Wireless Communications, vol.8, no.8, Aug. 2009. [6] Q. Zhao and A. Swami, “A Decision-theoretic Framework for Opportunistic Spectrum Access,” IEEE Wireless Communication, vol.14, no.4, pp.14-20, Aug.2007. [7] A. Ghasemi and E. S. Sousa, “Fundamental Limits of Spectrum Sharing in Fading Environments,” IEEE Transactions on Wireless Communications, vol.6, no.2, pp.649-658, Feb. 2007. [8] M. Gastpar, “On Capacity under Receive and Spatial Spectrumsharing Constraints,” IEEE Transactions on Information Theory, vol.53, no.2, pp.471- 487, Feb.2007. [9] X. Kang, Y. C. Liang, H. K. Garg and L. Zhang, “Sensingbased Spectrum Sharing in Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol.58, no.8, pp.4649- 4654, Oct. 2009.
  • 4. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com [10] S. Stotas and A. Nallanathan, “Enhancing the Capacity of Spectrum Sharing Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol.60, no.8, Oct. 2011.