Volume 34 Issue 4
Turn off MathJax
Article Contents
Abstract
References
Related Articles
XIN Jian-fang, ZHU Qi, LIANG Guang-jun, ZHANG Tian-jiao. Performance analysis based on queuing theory for D2D underlaying cellular networks[J]. JOURNAL OF SIGNAL PROCESSING, 2018, 34(4): 391-399. DOI: 10.16798/j.issn.1003-0530.2018.04.002
Citation: XIN Jian-fang, ZHU Qi, LIANG Guang-jun, ZHANG Tian-jiao. Performance analysis based on queuing theory for D2D underlaying cellular networks[J]. JOURNAL OF SIGNAL PROCESSING, 2018, 34(4): 391-399. DOI: 10.16798/j.issn.1003-0530.2018.04.002
shu

Performance analysis based on queuing theory for D2D underlaying cellular networks

  • College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications

  • School of Electrical Engineering, Anhui Polytechnic University

More Information
  • Received Date: September 17, 2017
  • Revised Date: December 06, 2017
  • Published Date: April 24, 2018
    Graphical Abstract
    • Abstract
  • In this paper, we focused on the performance analysis of the buffer-aided D2D communication in cellular networks. Different from the previous studies of full traffic model, we profiled a tractable transmission model for D2D communication with dynamic data arrival. Considering the effect of the interference from cellular user and the channel fading, The D2D user data transmission process with a dynamic interference model was depicted by M/G/1 queuing model. Adaptive modulation and coding was used to divide signal-to-interference and noise ratio values regions which corresponded to a fixed data rate. In order to analyze the situation of data packets queuing up in the D2D user buffer, this paper formulated it as a Embedded Markov chain and computed its steady-state distribution. We adopt the adaptive transmission rate to make queuing analysis which need predict the SINR in certain intervals and use a dynamic traffic model. Finally, the s of performance metrics in terms of average queue length, mean throughput, average packet delay and packet dropping probability were obtained. Simulation results show the validity and rationality of the theoretical analysis.
    • FullText(HTML)
    • References (20)
  • [1]
    K. Doppler, M. Rinne, C. Wijting, C. B. Ribeiro, and K. Hugl, “Device-to-device communication as an underlay to LTE-advanced networks,” IEEE Commun. Mag., vol. 47, no. 12, pp. 42–49, Dec. 2009.
    [2]
    A. Asadi, Q. Wang, and V. Mancuso, ‘‘A survey on device-to-device communication in cellular networks,’’ IEEE Commun. Surveys Tuts., vol. 16,no. 4, pp. 1801–1819, Nov. 2014.
    [3]
    P. Mach, Z. Becvar, and T. Vanek, ‘‘In-band device-to-device communication in OFDMA cellular networks: A survey and challenges,’’ IEEE Commun. Surveys Tuts., vol. 17, no. 4, pp. 1885–1922, 4th Quart., 2015.
    [4]
    J. Liu, N. Kato, J. Ma, and N. Kadowaki, ‘‘Device-to-device communication in LTE-advanced networks: A survey,’’ IEEE Commun. Surveys Tuts.,vol. 17, no. 4, pp. 1923–1940, 4th Quart., 2015.
    [5]
    C. Gao, J. Tang, X. Sheng, W. Zhang, S. Zou, and M. Guizani, ‘‘Enabling green wireless networking with device-to-device links: A joint optimization approach,’’ IEEE Trans. Wireless Commun., vol. 15, no. 4, pp. 2770–2779, Apr. 2016.
    [6]
    M. Ali, S. Qaisar, M. Naeem, and S. Mumtaz, ‘‘Energy efficient resource allocation in D2D-assisted heterogeneous networks with relays,’’ IEEE Access, vol. 4, pp. 4902–4911, Sep. 2016.
    [7]
    G. Yu, L. Xu, D. Feng, R. Yin, G. Y. Li, and Y. Jiang, ‘‘Joint mode selection and resource allocation for device-to-device communications,’’ IEEE Trans. Commun., vol. 62, no. 11, pp. 3814–3824, Nov. 2014.
    [8]
    Li X, Ma L, Xu Y, et al. Joint Power Control and Proportional Fair Scheduling for D2D Communication Underlaying Cellular NetworksThe, IEEE International Conference on Signal Processing. IEEE, 2016.
    [9]
    DUONG Q, SHIN Y and SHIN O S. Resource allocation scheme for device-to-device communications underlaying cellular networks[J] . AEU - International Journal of Electronics and Communications, 2013, 138(2):66–69.
    [10]
    JANIS P,KOIVUNEN V, RIBEIRO C, et al. Interference-Aware Resource Allocation for Device-to-Device Radio Underlaying Cellular Networks[C]. IEEE Vehicular Technology Conference, Barcelona, Spain,2009:1–5.
    [11]
    XU S,WANG H,CHEN T, et al. Effective Interference Cancellation Scheme for Device-to-Device Communication Underlaying Cellular Networks[C] . IEEE Vehicular Technology Conference. Ottawa, Ontario, Canada,2010:1–5.
    [12]
    XU S,WANG H,CHEN T. Effective Interference Cancellation Mechanisms for D2D Communication in Multi-Cell Cellular Networks[C].IEEE Vehicular Technology Conference, Yokohama, Japan, 2012:1–5.
    [13]
    LEI L, ZHANG Y, SHEN X, et al. Performance Analysis of Device-to-Device Communications with Dynamic Interference Using Stochastic Petri Nets[J]. IEEE Transactions on Wireless Communications, 2013, 12(12):6121–6141.
    [14]
    ZHANG Y, JIANG T, ZHANG L, et al. Analysis on the transmission delay of priority-based secondary users in cognitive radio networks[A]. International Conference on Wireless Communications and Signal Processing[C] . Hangzhou, China, 2013. 1-6.
    [15]
    金顺福，葛世英，霍占强. 概率反馈动态频谱分配策略及性能分析[J].通信学报，2015，36（7）：10-17.
    [16]
    JIN F S, GE S Y, HOU Z Q. Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis[J]. Journal on Communications ，2015，36（7）：10-17.（ in Chinese）
    [17]
    ZHENG Q, ZHENG K, SUN L, et al. Dynamic Performance Analysis of Uplink Transmission in Cluster-based Heterogeneous Vehicular Networks[J]. IEEE Transactions on Vehicular Technology, 2015,64(12): 5584–5595.
    [18]
    LIU Q, ZHOU S, and GIANNAKIS G B. Queuing with adaptive modulation and coding over wireless links: cross-Layer analysis and design[J]. IEEE Transactions on Wireless Communications, 2005, 4(3):1142–1153.
    [19]
    ODENTRANTZ John. Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues[J]. Technometrics, 2000, 42(4):438–439.
    [20]
    WAN M, CIARDO G and MINER A S. Approximate steady-state analysis of large Markov models based on the structure of their decision diagram encoding[J]. Performance Evaluation, 2011, 68(5):463–486.
    • Related Articles

  • Related Articles

    [1]CHEN Zuxu, CHEN Wei, LI Changkun, HAN Yuxing. Sequential Detection Based Quickest Markov Decision Processes： Theory， Algorithms， and Applications[J]. JOURNAL OF SIGNAL PROCESSING, 2025, 41(3): 448-471. DOI: 10.12466/xhcl.2025.03.004
    [2]LIU Yiyuan, LI Baoguo, YAO Yizhou, ZHANG Cheng’an, SUN Peng. Radar-Embedded Communication Waveform Design Based on Eigenvalue Matrix Parameter Optimization[J]. JOURNAL OF SIGNAL PROCESSING, 2023, 39(4): 751-760. DOI: 10.16798/j.issn.1003-0530.2023.04.016
    [3]MAI Chaoyun, LIU Ziming, HUANG Chuanhao, ZHAI Yikui, WANG Zhan. Waveform Design for Radar-Embedded Communication Waveform with Multi-Stopband Constraint[J]. JOURNAL OF SIGNAL PROCESSING, 2022, 38(5): 1019-1026. DOI: 10.16798/j.issn.1003-0530.2022.05.014
    [4]ZHANG Cheng’an, LI Baoguo, DU Zhiyi,  WANG Min, YAO Yizhou. A Radar-Embedded Communication Verification System Based on Software Defined Radio[J]. JOURNAL OF SIGNAL PROCESSING, 2021, 37(11): 2041-2053. DOI: 10.16798/j.issn.1003-0530.2021.11.004
    [5]Yang Jiaying, Li Ting, Xie Peizhong. Energy efficiency optimization algorithm for heterogeneous cellular network based on Stackelberg game[J]. JOURNAL OF SIGNAL PROCESSING, 2020, 36(11): 1923-1930. DOI: 10.16798/j.issn.1003-0530.2020.11.015
    [6]YUE Meng, ZHANG Cai-Feng, WU Zhi-Jun. The Research of Detecting Low-Rate DoS attacks Based onHidden Markov Model[J]. JOURNAL OF SIGNAL PROCESSING, 2015, 31(11): 1454-1460.
    [7]JIANG Jin-Long, SUN Hong, CHEN Jia-Yu, ZHA Dai-Feng. Gamma Mixture distribution modeling method with SAR Images[J]. JOURNAL OF SIGNAL PROCESSING, 2014, 30(5): 504-510.
    [8]ZHU Yong-Gang, LI Yong-Gui, GUAN SHeng-Yong, CHEN Qu-Shan. Finite State Markov Model of Rayleigh Fading Channels with Time-varying Noise Power[J]. JOURNAL OF SIGNAL PROCESSING, 2013, 29(1): 135-141.
    [9]HUANG Cheng-Wei, JIN Yun, BAO Yong-Qiang, YU Hua, ZHAO Li. Whispered Speech Emotion Recognition Embedded with Markov Networks and Multi-Scale Decision Fusion[J]. JOURNAL OF SIGNAL PROCESSING, 2013, 29(1): 98-106.
    [10]LI Nan, CAI Yue-Ming, CHENG Nai-Peng. An Adaptive Cooperative MAC with Priority for Ad Hoc Networks[J]. JOURNAL OF SIGNAL PROCESSING, 2011, 27(3): 450-455.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (124) PDF downloads (743) Cited by()
    Related

    Copyright ©2009 《JOURNAL OF SIGNAL PROCESSING》京ICP备12041980号-1

    Address: 41 Gulou Xi Dajie, Xicheng District, Beijing  Tel: 010-64010656  Email: xhcl@signal.org.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return