ISSN 0253-2778

CN 34-1054/N

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Cooperative scheduling and power allocation scheme based on user clustering in LTE uplink

  • 1.

    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China

  • 2.

    Shanghai Research Center for Wireless Communications, Shanghai 201210, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.04.006
  • Received Date: 22 October 2014
  • Accepted Date: 03 December 2014
  • Rev Recd Date: 03 December 2014
  • Publish Date: 30 April 2015
    Abstract

  • Abstract

    Inter-cell interference is serious in LTE co-channel networks, which becomes the bottleneck of outage performance enhancement in LTE networks. However, inter-cell interference is not considered when applying conventional single-cell scheduling algorithms in LTE uplink. A cooperative scheduling and power allocation scheme based on user clustering was proposed in order to mitigate inter-cell interference and enhance system performance, in which users from different cells who share the same resource blocks were clustered. The cooperative scheduling algorithm based on the proportional fair criterion was developed to allocate resourcs among user clusters. The cooperative power allocation was achieved by solving a set of power optimization problems formulated with interference among users in the same user cluster. The simulation result shows that the cooperative scheduling and power allocation scheme based on user clustering is efficient in terms of outage throughput, while greatly enhancing system throughput.

    Abstract

    Inter-cell interference is serious in LTE co-channel networks, which becomes the bottleneck of outage performance enhancement in LTE networks. However, inter-cell interference is not considered when applying conventional single-cell scheduling algorithms in LTE uplink. A cooperative scheduling and power allocation scheme based on user clustering was proposed in order to mitigate inter-cell interference and enhance system performance, in which users from different cells who share the same resource blocks were clustered. The cooperative scheduling algorithm based on the proportional fair criterion was developed to allocate resourcs among user clusters. The cooperative power allocation was achieved by solving a set of power optimization problems formulated with interference among users in the same user cluster. The simulation result shows that the cooperative scheduling and power allocation scheme based on user clustering is efficient in terms of outage throughput, while greatly enhancing system throughput.
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    • References(18)
  • [1]
    Hamza A S, Khalifa S S, Hamza H S, et al. A survey on inter-cell interference coordination techniques in OFDMA-based cellular networks[J]. IEEE Communications Surveys & Tutorials, 2013, 15(4): 1642-1670.
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    3GPP. Requirements for evolved UTRAN (E-UTRAN) and X2 application protocol (X2AP) V8. 6. 0[R]. Technique Report, 2009.
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    [4]
    Pateromichelakis E, Shariat M, ul Qussus A, et al. On the evolution of multi-cell scheduling in 3GPP LTE/LTE-A[J]. IEEE Communications Surveys & Tutorials, 2013, 15(2): 701-717.
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    Hande P, Rangan S, Chiang M, et al. Distributed uplink power control for optimal SIR assignment in cellular data networks[J]. IEEE/ACM Transactions on Networking, 2008, 16(6): 1420-1433.
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    Reider N, Racz A, Fodor G. On scheduling and power control in multi-cell coordinated clusters[C]// Global Telecommunications Conference. Honolulu, USA: IEEE Press, 2009: 1-7.
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    Frank P, Muller A, Droste H, et al. Cooperative interference-aware joint scheduling for the 3GPP LTE uplink[C]// 21st International Symposium on Personal Indoor and Mobile Radio Communications. Berlin, Germany: IEEE Press, 2010: 2216-2221.
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    Niu J P, Lee D, Su T, et al. Multi-cell cooperative scheduling for uplink SC-FDMA systems[C]// 24th International Symposium on Personal Indoor and Mobile Radio Communications. London, UK: IEEE Press, 2013: 1582-1586.
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    Kaviani S, Krzymien W A. Multicell scheduling in network MIMO[C]//Global Telecommunications Conference. Miami, USA: IEEE Press, 2010: 1-5.
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    Gong J, Zhou S, Niu Z S, et al. Joint scheduling and dynamic clustering in downlink cellular networks[C]// Global Telecommunications Conference. Houston, USA: IEEE Press, 2011: 1-5.
    [11]
    Kim H, Han Y. A proportional fair scheduling for multicarrier transmission systems[J]. IEEE Communications Letters, 2005, 9(3): 210-212.
    [12]
    Stewart J. Single Variable Calculus: Early Transcendentals[M]. Belmont: Thomson Higher Education, 2008.
    [13]
    Wang T, Vandendorpe L. Iterative resource allocation for maximizing weighted sum min-rate in downlink cellular OFDMA systems[J]. IEEE Transactions on Signal Processing, 2011, 59(1): 223-234.
    [14]
    Boyd S, Vandenberghe L. Convex Optimization[M]. London: Cambridge university press, 2009.
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    Venturino L, Prasad N, Wang X D. A successive convex approximation algorithm for weighted sum-rate maximization in downlink OFDMA networks[C]// 42nd Annual Conference on Information Sciences and Systems. Princeton, USA: IEEE Press, 2008: 379-384.
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    Jain R, Chiu D M, Hawe W R. A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer System[M]. Hudson: Eastern Research Laboratory, Digital Equipment Corporation, 1984.)
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    [1]
    Hamza A S, Khalifa S S, Hamza H S, et al. A survey on inter-cell interference coordination techniques in OFDMA-based cellular networks[J]. IEEE Communications Surveys & Tutorials, 2013, 15(4): 1642-1670.
    [2]
    3GPP. Requirements for evolved UTRAN (E-UTRAN) and X2 application protocol (X2AP) V8. 6. 0[R]. Technique Report, 2009.
    [3]
    张光荣, 吴文银, 徐茂, 等. 一种联合 HII 和 OI 的上行干扰协调方法[J]. 中国科学院研究生院学报, 2012, 29(5): 667-673.
    Zhang G R, Wu W Y,Xu M, et al. An uplink interference coordination scheme by combining HII and OI[J]. Journal of the Graduate School of the Chinese Academy of Science, 2012, 29(5): 667-673.
    [4]
    Pateromichelakis E, Shariat M, ul Qussus A, et al. On the evolution of multi-cell scheduling in 3GPP LTE/LTE-A[J]. IEEE Communications Surveys & Tutorials, 2013, 15(2): 701-717.
    [5]
    Hande P, Rangan S, Chiang M, et al. Distributed uplink power control for optimal SIR assignment in cellular data networks[J]. IEEE/ACM Transactions on Networking, 2008, 16(6): 1420-1433.
    [6]
    Reider N, Racz A, Fodor G. On scheduling and power control in multi-cell coordinated clusters[C]// Global Telecommunications Conference. Honolulu, USA: IEEE Press, 2009: 1-7.
    [7]
    Frank P, Muller A, Droste H, et al. Cooperative interference-aware joint scheduling for the 3GPP LTE uplink[C]// 21st International Symposium on Personal Indoor and Mobile Radio Communications. Berlin, Germany: IEEE Press, 2010: 2216-2221.
    [8]
    Niu J P, Lee D, Su T, et al. Multi-cell cooperative scheduling for uplink SC-FDMA systems[C]// 24th International Symposium on Personal Indoor and Mobile Radio Communications. London, UK: IEEE Press, 2013: 1582-1586.
    [9]
    Kaviani S, Krzymien W A. Multicell scheduling in network MIMO[C]//Global Telecommunications Conference. Miami, USA: IEEE Press, 2010: 1-5.
    [10]
    Gong J, Zhou S, Niu Z S, et al. Joint scheduling and dynamic clustering in downlink cellular networks[C]// Global Telecommunications Conference. Houston, USA: IEEE Press, 2011: 1-5.
    [11]
    Kim H, Han Y. A proportional fair scheduling for multicarrier transmission systems[J]. IEEE Communications Letters, 2005, 9(3): 210-212.
    [12]
    Stewart J. Single Variable Calculus: Early Transcendentals[M]. Belmont: Thomson Higher Education, 2008.
    [13]
    Wang T, Vandendorpe L. Iterative resource allocation for maximizing weighted sum min-rate in downlink cellular OFDMA systems[J]. IEEE Transactions on Signal Processing, 2011, 59(1): 223-234.
    [14]
    Boyd S, Vandenberghe L. Convex Optimization[M]. London: Cambridge university press, 2009.
    [15]
    Venturino L, Prasad N, Wang X D. A successive convex approximation algorithm for weighted sum-rate maximization in downlink OFDMA networks[C]// 42nd Annual Conference on Information Sciences and Systems. Princeton, USA: IEEE Press, 2008: 379-384.
    [16]
    International Telecommunication Union. Guidelines for evaluation of radio interface technologies for IMT-Advanced, ITU-R, Report M.2135-1[S]. 2010.
    [17]
    Stefania S, Issam T, Matthew B. LTE-the UMTS Long Term Evolution: From Theory to Practice[M]. John Wiley and Sons, 2009.]
    [18]
    Jain R, Chiu D M, Hawe W R. A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer System[M]. Hudson: Eastern Research Laboratory, Digital Equipment Corporation, 1984.)
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