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Energy efficient resource allocation for D2D multicast communications

D2D 组播通信中的高能效资源分配研究

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Abstract

The resource allocation for device-to-device (D2D) multicast communications is investigated. To achieve fair energy efficiency (EE) among different multicast groups, the max-min fairness criterion is used as the optimization criterion and the EE of D2D multicast groups are taken as the optimization objective function. The aim is to maximize the minimum EE for different D2D multicast groups under the constraints of the maximum transmit power and minimum transmit rate, which is modeled as a non-convex and mixed-integer fractional programming problem. Here, suboptimal resource allocation algorithms are proposed to solve this problem. First, channel assignment scheme is performed to assign channel to D2D multicast groups. Second, for a given channel assignment, iterative power allocation schemes with and without loss of cellular users’ rate are completed, respectively. Simulation results corroborate the convergence performance of the proposed algorithms. In addition, compared with the traditional throughput maximization algorithm, the proposed algorithms can improve the energy efficiency of the system and the fairness achieved among different multicast groups.

摘要:

研究了D2D 组播通信中的资源分配问题, 为了获得公平的能量效率, 采用最大最小公平准则 作为优化准则, 以D2D 组播的能量效率作为优化目标函数, 在考虑最大发射功率约束和最小速率约 束的情况下, 通过最大化最小D2D 组播的能量效率来实现公平的资源分配, 并将上述优化问题建模 为非凸的、混合整数规划问题. 提出了一种次优的资源分配算法来求解上述问题. 首先, 采用提出的 信道分配算法将信道资源分配给不同的D2D 组播用户. 然后, 对于给定的信道分配, 提出了两种迭 代的功率分配算法. 仿真实验结果证明了提出算法的收敛性. 另外, 与传统的吞吐量最大化算法进行 了比较, 实验结果表明提出的算法能够提高系统的能量效率, 并且保证不同D2D 组播之间的公平性.

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References

  1. LEI Ke-jun, TAN Yang-hong, YANG Xi, WANG Han-rui. A K-means clustering based blind multiband spectrum sensing algorithm for cognitive radio [J]. Journal of Central South University, 2018, 25(10): 2451–2461. DOI: https://doi.org/10.1007/s11771-018-3928-z.

    Article  Google Scholar 

  2. JAMEEL F, HAMID Z, JABEEN F, ZEADALLY S, JAVED M A. A survey of device-to-device communications: Research issues and challenges [J]. IEEE Communications Surveys & Tutorials, 2018, 20(3): 2133–2168. DOI: https://doi.org/10.1109/COMST.2018.2828120.

    Article  Google Scholar 

  3. ZUO Jia-kuo, YANG Long-xiang. Energy efficient power allocation for D2D communications in fading channels [J]. Electronics Letters, 2018, 54(3): 177–179. DOI: https://doi.org/10.1049/el.2017.3875.

    Article  Google Scholar 

  4. KLAIQI B, CHU Xiao-li, ZHANG Jie. Energy- and spectral-efficient adaptive forwarding strategy for multi-hop device-to-device communications overlaying cellular networks [J]. IEEE Transactions on Wireless Communications, 2018, 17(9): 5684–5699. DOI: https://doi.org/10.1109/TWC.2018.2846222.

    Article  Google Scholar 

  5. ALQERM I, SHIHADA B. Energy-efficient power allocation in multitier 5G networks using enhanced online learning [J]. IEEE Transactions on Vehicular Technology, 2017, 66(12): 11086–11097. DOI: https://doi.org/10.1109/TVT.2017.2731798.

    Article  Google Scholar 

  6. WU Qing-qing, LI G Y, CHEN Wen, NG D W K. Energy-efficient D2D overlaying communications with spectrum-power trading [J]. IEEE Transactions on Wireless Communications, 2017, 16(7): 4404–4419. DOI: https://doi.org/10.1109/TWC.2017.2698032.

    Article  Google Scholar 

  7. ZHOU Zhen-yu, OTA K, DONG Mian-xiong, XU Chen. Energy-efficient matching for resource allocation in D2D enabled cellular networks [J]. IEEE Transactions on Vehicular Technology, 2017, 66(6): 5256–5268. DOI: https://doi.org/10.1109/TVT.2016.2615718.

    Article  Google Scholar 

  8. JIANG Yan-xiang, LIU Qiang, ZHENG Fu-chun, GAO Xi-qi, YOU Xiao-hu. Energy-efficient joint resource allocation and power control for D2D communications [J]. IEEE Transactions on Vehicular Technology, 2016, 65(8): 6119–6127. DOI: https://doi.org/10.1109/TVT.2015.2472995.

    Article  Google Scholar 

  9. LEE K, HONG J P. Power control for energy efficient D2D communication in heterogeneous networks with eavesdropper [J]. IEEE Communications Letters, 2017, 21(11): 2536–2539. DOI: https://doi.org/10.1109/LCOMM.2017.2718521.

    Article  Google Scholar 

  10. FENG Da-quan, YU Guan-ding, XIONG Cong, YI Yuan-wu, LI G Y, FENG Gang, LI Shao-qian. Mode switching for energy-efficient device-to-device communications in cellular networks [J]. IEEE Transactions on Wireless Communications, 2015, 14(12): 6993–7003. DOI: https://doi.org/10.1109/TWC.2015.2463280.

    Article  Google Scholar 

  11. ZHOU Zhen-yu, DONG Mian-xiong, OTA K, WU Jun, SATO T. Energy efficiency and spectral efficiency tradeoff in device-to-device (D2D) communications [J]. IEEE Wireless Communications Letters, 2014, 3(5): 485–488. DOI: https://doi.org/10.1109/LWC.2014.2337295.

    Article  Google Scholar 

  12. ZHOU Zhen-yu, DONG Mian-xiong, OTA K, WANG Guo-jun, YANG L T. Energy-efficient resource allocation for D2D communications underlaying cloud-RAN-based LTE-A networks [J]. IEEE Internet of Things Journal, 2016, 3(3): 428–438. DOI: https://doi.org/10.1109/JIOT.2015.2497712.

    Article  Google Scholar 

  13. GUO Sheng-jie, ZHOU Xiang-wei, XIAO Sa, SUN Ming-xuan. Fairness-aware energy-efficient resource allocation in D2D communication networks [J]. IEEE Systems Journal, 2019, 13(2): 1273–1284. DOI: https://doi.org/10.1109/JSYST.2018.2838539.

    Article  Google Scholar 

  14. ZHOU Zhen-yu, SHI Rui-feng, SATO T, LIU Zhi-heng, DONG Mian-xiong, OTA K. Game-theoretic approach to energy-efficient resource allocation in device-to-device underlay communications [J]. IET Communications, 2015, 9(3): 375–385. DOI: https://doi.org/10.1049/iet-com.2014.0337.

    Article  Google Scholar 

  15. DENG N, HAENGGI M. The energy and rate meta distributions in wirelessly powered D2D networks [J]. IEEE Journal on Selected Areas in Communications, 2019, 37(2): 269–282. DOI: https://doi.org/10.1109/JSAC.2018.2872373.

    Article  Google Scholar 

  16. CHANG Zheng, ZHOU Sheng, RISTANIEMI T, NIU Zhi-sheng. Collaborative mobile clouds: An energy efficient paradigm for content sharing [J]. IEEE Wireless Communications, 2018, 25(2): 186–192. DOI: https://doi.org/10.1109/MWC.2017.1600170.

    Article  Google Scholar 

  17. TAO Mei-xia, LIANG Ying-chang, ZHANG Fan. Resource allocation for delay differentiated traffic in multiuser OFDM systems [J]. IEEE Transactions on Wireless Communications, 2008, 7(6): 2190–2201. DOI: https://doi.org/10.1109/TWC.2008.060882.

    Article  Google Scholar 

  18. WANG Shao-wei, SHI Wei-jia, WANG Chong-gang. Energy-efficient resource management in OFDM-based cognitive radio networks under channel uncertainty [J]. IEEE Transactions on Communications, 2015, 63(9): 3092–3102. DOI: https://doi.org/10.1109/TCOMM.2015.2452251.

    Article  Google Scholar 

  19. CROUZEIX J P, FERLAND J A, SCHAIBLE S. An algorithm for generalized fractional programs [J]. Journal of Optimization Theory and Applications, 1985, 47(1): 35–49. DOI: https://doi.org/10.1007/BF01582887.

    Article  MathSciNet  Google Scholar 

  20. CHANG Zheng, HOU Xin, GUO Xi-juan, RISTANIEMI T, HAN Zhu. Secure and energy-efficient resource allocation for wireless power enabled full-/half-duplex multiple-antenna relay systems [J]. IEEE Transactions on Vehicular Technology, 2017, 66(12): 11208–11219. DOI: https://doi.org/10.1109/TVT.2017.2733040.

    Article  Google Scholar 

  21. CHANG Zheng, GONG Jie, LI Ying-yu, ZHOU Zhen-yu, RISTANIENI Tapani, SHI Guang-ming, HAN Zhu, NIU Zhi-sheng. Energy efficient resource allocation for wireless power transfer enabled collaborative mobile clouds [J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12): 3438–3450. DOI: https://doi.org/10.1109/JSAC.2016.2611843.

    Article  Google Scholar 

  22. CHANG Zheng, GONG Jie, RISTANIEMI T, NIU Zhi-sheng. Energy-efficient resource allocation and user scheduling for collaborative mobile clouds with hybrid receivers [J]. IEEE Transactions on Vehicular Technology, 2016, 65(12): 9834–9846. DOI: https://doi.org/10.1109/TVT.2016.2525821.

    Article  Google Scholar 

  23. CHEN H J, SCHAIBLE S, SHEU R L. Generic algorithm for generalized fractional programming [J]. Journal of Optimization Theory and Applications, 2009, 141(1): 93–105. DOI: https://doi.org/10.1007/s10957-008-9499-7.

    Article  MathSciNet  Google Scholar 

  24. BOYD S, VANDENBERGHE L. Convex optimization [M]. Cambridge: Cambridge University Press, 2004. DOI: https://doi.org/10.1017/cbo9780511804441.

    Book  Google Scholar 

  25. TUY H. Convex analysis and global optimization [M]. Boston, MA: Springer US, 1998. DOI: https://doi.org/10.1007/978-1-4757-2809-5.

    Book  Google Scholar 

  26. BOYD S. Sequential convex programming [EB/OL][1998-10-04] http://stanford.edu/class/ee364b/lectures/seq.slides.pdf.

  27. LI Yu-zhou, SHENG Min, WANG Xi-jun, ZHANG Yan, WEN Juan. Max-min energy-efficient power allocation in interference-limited wireless networks [J]. IEEE Transactions on Vehicular Technology, 2015, 64(9): 4321–4326. DOI: https://doi.org/10.1109/TVT.2014.2361920.

    Article  Google Scholar 

  28. WU Xiao-lu, CHEN Yue-yun, YUAN Xiao-pan, MKIRAMWENI M E. Joint resource allocation and power control for cellular and device-to-device multicast based on cognitive radio [J]. IET Communications, 2014, 8(16): 2805–2813. DOI: https://doi.org/10.1049/iet-com.2013.1041.

    Article  Google Scholar 

  29. NGUYEN T D, HAN Y. A proportional fairness algorithm with QoS provision in downlink OFDMA systems [J]. IEEE Communications Letters, 2006, 10(11): 760–762. DOI: https://doi.org/10.1109/LCOMM.2006.060750.

    Article  Google Scholar 

Download references

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Correspondence to Jia-kuo Zuo  (左加阔).

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Foundation item: Projects(61801237, 61701255) supported by the National Natural Science Foundation of China; Project(SBH17024) supported by the Postdoctoral Science Foundation of Jiangsu Province, China; Project(15KJB510026) supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions, China; Project(BK20150866) supported by the Natural Science Foundation of Jiangsu Province, China; Projects(NY215046, NY217056) supported by the Introduction of Talent Fund of Nanjing University of Posts and Telecommunications, China

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Zuo, Jk., Yang, Lx. Energy efficient resource allocation for D2D multicast communications. J. Cent. South Univ. 26, 3034–3044 (2019). https://doi.org/10.1007/s11771-019-4234-0

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