Skip to main content
SpringerLink
Log in

Energy-efficient resource allocation for OFDMA relay systems with imperfect CSIT

OFDMA 中继系统基于非完美 CSIT 的能效资源分配

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

In this paper, we propose an energy-efficient resource allocation scheme for the downlink of decode-and-forward relay-assisted orthogonal frequency division multiple access systems. The resource allocation is designed based on imperfect channel state information at the transmitter. We jointly optimize the power allocation, data rate allocation, and subcarrier allocation to maximize the system energy efficiency (EE). We formulate the EE problem as a probabilistic mixed non-convex optimization problem, in which the individual power constraints and the outage probability requirements are considered. An iterative algorithm based on bisection method is given to transform the optimization problem into a standard concave form. Also, we consider a proportional fairness design for the EE maximization problem. Simulation results illustrate the effectiveness of the proposed algorithm.

创新点

针对下行OFDMA中继系统, 本文提出一种能量效率最优的资源分配方案。基于非完美的信道状态信息, 该方案通过联合地分配发射功率、速率和子载波, 获得了最大的系统能量效率。本文对非凸的混合优化问题进行了一系列的等效转化, 同时提出一种基于二分法的迭代算法。仿真结果表明该方案可以有效地提高系统的能量效率, 并且表明系统的能量效率与频谱效率、用户公平性之间存在折衷关系。

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shen Z K, Papasakellariou A, Montojo J, et al. Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications. IEEE Commun Mag, 2012, 50: 122–130

    Article  Google Scholar 

  2. Peng Y, Yu Y, Guo L, et al. An efficient joint channel assignment and QoS routing protocol for IEEE 802.11 multi-radio multi-channel wireless mesh networks. J Netw Comput Appl, 2013, 36: 843–857

    Article  Google Scholar 

  3. Yue W J, Zheng B Y, Meng Q M, et al. Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay. Sci China Inf Sci, 2011, 54: 861–872

    Article  Google Scholar 

  4. Zhao R, Yang L X, Zhu W P. Transmission scheme and performance analysis for decode-and-forward MIMO two-way relay systems. Sci China Ser F-Inf Sci, 2009, 52: 2308–2316

    Article  Google Scholar 

  5. Nam W, Chang W, Chung S Y, et al. Transmit optimization for relay-based cellular OFDMA systems. In: Proceedings of IEEE International Conference on Communications. New York: IEEE, 2007. 5714–5719

    Google Scholar 

  6. Wang T, Vandendorpe L. Sum rate maximized resource allocation in multiple DF relays aided OFDM transmission. IEEE J Sel Areas Commun, 2011, 29: 1559–1571

    Article  Google Scholar 

  7. Ng D W K, Schober R. Cross-layer scheduling for OFDMA amplify-and-forward relay network. IEEE Trans Veh Technol, 2010, 59: 1443–1458

    Article  Google Scholar 

  8. Ng D W K, Schober R. Resource allocation and scheduling in multi-cell ofdma systems with decode-and-forward relaying. IEEE Trans Wirel Commun, 2011, 10: 2246–2258

    Article  Google Scholar 

  9. Li G Q, Lui H. Resource allocation for OFDMA relay networks with fairness constraints. IEEE J Sel Areas Commun, 2006, 24: 2061–2069

    Article  Google Scholar 

  10. Fang W H, Deng M J, Chen Y T. Joint source and relay power allocation in amplify-and-forward relay networks: a unified geometric programming framework. IET Commun, 2011, 5: 2301–2309

    Article  MathSciNet  Google Scholar 

  11. Sidhu G A S, Gao F F, Chen W, et al. A joint resource allocation scheme for multiuser two-way relay networks. IEEE Trans Commun, 2011, 59: 2970–2975

    Article  Google Scholar 

  12. Jitvanichphaibool K, Zhang R, Liang Y C. Optimal resource allocation for two-way relay-assisted OFDMA. IEEE Trans Veh Technol, 2009, 58: 3311–3321

    Article  Google Scholar 

  13. Zhou Y Q, Liu H, Pan Z G, et al. Two-stage cooperative multicast transmission with optimized power consumption and guaranteed coverage. IEEE J Sel Areas Commun, 2014, 32: 274–284

    Article  Google Scholar 

  14. Xu Z Z, Qin W D, Tang Q Y, et al. Energy-efficient cognitive access approach to convergence communications. Sci China Inf Sci, 2014, 57: 042305

    Google Scholar 

  15. Arnold O, Richter F, Fettweis G, et al. Power consumption modeling of different base station types in heterogeneous cellular networks. In: Proceedings of the Future Network and Mobile Summit, Florence, 2010. 1–8

    Google Scholar 

  16. Miao G W, Himayat N, Li G Y. Energy-efficient link adaptation in frequency-selective channels. IEEE Trans Commun, 2010, 58: 545–554

    Article  Google Scholar 

  17. Ng D W K, Lo E S, Schober R. Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas. IEEE Trans Wirel Commun, 2012, 11: 3292–3304

    Article  Google Scholar 

  18. Xiong C, Li G Y, Zhang S Q, et al. Energy- and spectral-efficiency tradeoff in downlink OFDMA networks. IEEE Trans Wirel Commun, 2011, 10: 3874–3886

    Article  Google Scholar 

  19. Sun C, Cen Y J, Yang C Y. Energy efficient OFDM relay systems. IEEE Trans Commun, 2013, 61: 1797–1809

    Article  Google Scholar 

  20. Cheung K T K, Yang S, Hanzo L. Achieving maximum energy-efficiency in multi-relay OFDMA cellular networks: a fractional programming approach. IEEE Trans Commun, 2013, 61: 2746–2757

    Article  Google Scholar 

  21. Huang X Y, Leng S P, Wu F, et al. Energy-efficient and QoS-ware resource allocation for relay-enhanced OFMDA wireless cellular netorks. WSEAS Trans Commun, 2014, 13: 394–401

    Article  Google Scholar 

  22. Zhong B, Zhang Z S, Zhang X, et al. Partial relay selection with fixed-gain relays and outdated CSI in underlay cognitive networks. IEEE Trans Veh Technol, 2013, 62: 4696–4701

    Article  Google Scholar 

  23. Zhong B, Zhang Z S, Zhang X, et al. Impact of partial relay selection on the capacity of communications systems with outdated CSI and adaptive transmission techniques. EURASIP J Wirel Commun Netw, 2013, 2013: 24

    Article  Google Scholar 

  24. Li Y, Xu X, Zhang D D, et al. Optimal pilots design for frequency offsets and channel estimation in OFDM modulated single frequency networks. Sci China Inf Sci, 2014, 57: 042301

    MathSciNet  Google Scholar 

  25. Zappone A, Cao P, Jorswieck E A. Energy efficiency optimization in relay-assisted MIMO systems with perfect and statistical CSI. IEEE Trans Signal Process, 2014, 62: 443–457

    Article  MathSciNet  Google Scholar 

  26. Tse D, Viswanath P. Fundamentals of Wireless Communication. Cambridge: Cambridge University Press, 2005

    Book  Google Scholar 

  27. Wang R, Lau V K N, Cui Y. Decentralized fair scheduling in two-hop relay-assisted cognitive OFDMA systems. IEEE J Sel Top Signal Process, 2011, 5: 171–181

    Article  Google Scholar 

  28. Kim H, Han Y. A proportional fair scheduling for multicarrier transmission systems. IEEE Commun Lett, 2005, 9: 210–212

    Article  Google Scholar 

  29. George M, Koilpillai R D, Fairness-based resource allocation in OFDMA downlink with imperfect CSIT. In: Proceedings of International Conference Wireless Communications and Signal Processing (WCSP), Hangzhou, 2013. 1–6

    Google Scholar 

  30. Yu W, Lui R. Dual methods for nonconvex spectrum optimization for multicarrier systems. IEEE Trans Commun, 2006, 54: 1310–1321

    Article  Google Scholar 

  31. Seong K, Mohseni M, Cioffi J. Optimal resource allocation for OFDMA downlink systems. In: Proceedings of IEEE International Symposium on Information Theory, Seattle, 2006. 1394–1398

    Google Scholar 

  32. Proakis J, Salehi M. Digital Communications. McGraw-Hill Science/Engineering/Math, 2007

    Google Scholar 

  33. Dinkelbach W. On nonlinear fractional programming. Manag Sci, 1967, 13: 92–498

    Article  MathSciNet  Google Scholar 

  34. Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge University Press, 2004

    Book  Google Scholar 

  35. 3GPP. Further advancements for E-UTRA, physical layer aspects (release 9). 3GPP TR 36.814 V9.0.0. 2010

    Google Scholar 

  36. Shen Z K, Andrews J G, Evans B L. Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints. IEEE Trans Wirel Commun, 2005, 4: 2726–2737

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    XiaoMing Wang, FuChun Zheng, PengCheng Zhu, Chao Meng & XiaoHu You

  2. School of Systems Engineering, University of Reading, Reading, RG6 6AY, UK

    FuChun Zheng

Authors
  1. XiaoMing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. FuChun Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. PengCheng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chao Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. XiaoHu You
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to XiaoMing Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, X., Zheng, F., Zhu, P. et al. Energy-efficient resource allocation for OFDMA relay systems with imperfect CSIT. Sci. China Inf. Sci. 58, 1–13 (2015). https://doi.org/10.1007/s11432-015-5340-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-015-5340-8

Keywords

关键词

Search

Navigation