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Energy-Efficient Power Allocation Scheme Based on Discrete-Rate Adaptive Modulation in Distributed Antenna System

  • Xi Wang
  • Xiangbin Yu
  • Tao Teng
  • Guangying Wang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)

Abstract

In this paper, the energy efficiency (EE) for a distributed antenna system (DAS) with discrete-rate adaptive modulation (AM) is investigated, and an optimal adaptive power allocation (PA) scheme for maximizing EE is developed. First of all, the system model of DAS based on discrete-rate AM is presented. Then, subject to transmit power per antenna and target bit error rate (BER), a constrained optimized problem is formulated to maximize EE of DAS. By solving KKT conditions, we derive the optimal solution as a closed form. The obtained closed-form expression is applicable to DAS with an arbitrary number of distributed antennas (DA) ports and general per-DA port power and target BER constraints. To illustrate the validity of the developed scheme, the exhaustive search method is used in the simulation to compare with the developed scheme. As a result, the proposed power allocation method produces the EE and spectrum efficiency (SE) identical to the exhaustive search method with remarkably reduced computational complexity. Moreover, the EE and SE of the DAS with AM increase as the target BER increases.

Keywords

Energy efficiency Optimal power allocation Discrete-rate adaptive modulation Distributed antenna system Spectrum efficiency 

Notes

Acknowledgement

This work is partially supported by National Natural Science Foundation of China (61601220), Open Research Fund of National Mobile Communications Research Laboratory of Southeast University (2017D03), and Six Talent Peaks Project in Jiangsu (2015-DZXX-007).

References

  1. 1.
    Kim, H., Lee, S., Song, C.: Optimal power allocation scheme for energy efficiency maximization in distributed antenna systems. IEEE Trans. Commun. 63(2), 431–440 (2015)CrossRefGoogle Scholar
  2. 2.
    He, C., Li, G., Zheng, F., You, X.: Energy-efficient resource allocation in OFDM systems with distributed antennas. IEEE Trans. Veh. Technol. 63(3), 1223–1231 (2014)CrossRefGoogle Scholar
  3. 3.
    Wu, Y., Sun, X., Tan, X.: Cooperative distributed energy generation and energy trading for future smart grid. In: IEEE Control Conference, pp. 8150–8157 (2014)Google Scholar
  4. 4.
    Zhang, J., Andrew, J.: Distributed antenna systems with randomness. IEEE Trans. Wirel. Commun. 7(9), 3636–3646 (2008)CrossRefGoogle Scholar
  5. 5.
    Zhou, Y., Zhong, C., Jin, S.: A low complexity multiuser adaptive modulation scheme for massive MIMO systems. IEEE Signal Process. Lett. 23(10), 1464–1468 (2016)CrossRefGoogle Scholar
  6. 6.
    Goldsmith, A., Chua, S.: Adaptive coded modulation for fading channels. IEEE Trans. Commun. 46(5), 595–602 (1998)CrossRefGoogle Scholar
  7. 7.
    Qiu, X., Chawla, K.: On the performance of adaptive modulation in cellular systems. IEEE Trans. Commun. 47(6), 884–895 (1999)CrossRefGoogle Scholar
  8. 8.
    Yu, X., Tan, W., Wu, B., Li, Y.: Discrete-rate adaptive modulation with variable threshold for distributed antenna system in the presence of imperfect CSI. China Commun. 11(13), 31–39 (2014)CrossRefGoogle Scholar
  9. 9.
    Wang, H., Yu, X., Wang, Y.: Energy-efficient power allocation scheme for DAS with adaptive modulation. In: International Conference on Wireless Communications & Signal Processing, pp. 1–5 (2016)Google Scholar
  10. 10.
    Cho, K., Yoon, D.: On the general BER expression of one and two dimensional ampli-tude modulations. IEEE Trans. Commun. 50(7), 1074–1080 (2002)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Xi Wang
    • 1
  • Xiangbin Yu
    • 1
    • 2
  • Tao Teng
    • 1
  • Guangying Wang
    • 1
  1. 1.College of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina

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