AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (982.6 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Joint User Selection and Rate Adaptation Scheme in a Coordinated Multipoint Transmission System for Power Minimization

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
New Star Research Institute of Applied Technology, Hefei 230031, China.
Show Author Information

Abstract

In a coordinated multipoint transmission system with centralized architecture for saving power consumption, total power metric is minimized while completely using the backhaul capacity and maintaining the minimum target data rate. The problem is formulated as a mixed integer optimization problem, which is difficult to solve. To overcome this problem, a joint user selection and rate adaptation scheme is developed based on the water-filling rate adaptation with the given user set and the power saving criterion with the allocated rates. Numerical results demonstrate that compared with the norm-based and semi-orthogonal user selection algorithms, the proposed algorithm can significantly reduce the total power consumption. The proposed algorithm can also achieve near-optimal performance compared with the performance achieved by the exhaustive search-based method. In addition, the computational complexity of the proposed algorithm is reduced by heuristic iteration and search scope shrinking.

References

[1]
Li J., Eriksson T., Svensson T., Botella C., Power allocation for two-cell two-user joint transmission, IEEE Commun. Lett., vol. 16, no. 9, pp. 1474–1477, 2012.
[2]
Yang Y., Bai B., Chen W., Hanzo L., A low-complexity cross-layer algorithm for coordinated downlink scheduling and robust beamforming under a limited feedback constraint, IEEE Trans. Veh. Technol., vol. 63, no. 1, pp. 107–118, 2014.
[3]
Pateromichelakis E., Shariat M., Quddus A., Tafazolli R., On the evolution of multi-cell scheduling in 3GPP LTE/LTE-A, IEEE Commun. Surveys. Tuts., vol. 15, no. 2, pp. 701–717, 2013.
[4]
Zhang Q., Yang C., Molisch A. F., Downlink base station cooperative transmission under limited-capacity backhaul, IEEE Trans. Wireless Commun., vol. 12, no. 8, pp. 3746–3759, 2013.
[5]
Yoo T., Goldsmith A., On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming, IEEE Trans. Wireless Commun., vol. 24, no. 3, pp. 528–541, 2006.
[6]
Jang U., Son H., Park J., Lee S., CoMP-CSB for ICI nulling with user selection, IEEE Trans. Wireless Commun., vol. 10, no. 9, pp. 2982–2993, 2011.
[7]
Peng B., Chen W., Zhang Y., Lei M., Cao Z., Zhou S., A leakage-aware CS/CB scheme for heterogeneous CoMP networks with layered limited feedback, IEICE Transactions on Communications, vol. 96, no. 1, pp. 363–366, 2013.
[8]
Lee H., Kim S., Park J., Lee S., Combinatorial orthogonal beamforming for joint processing and transmission, IEEE Trans. Commun., vol. 62, no. 2, pp. 625–637, 2014.
[9]
Moon S., Lee C., Lee S., Lee I., Joint user scheduling and adaptive inter-cell interference cancelation for MISO downlink cellular systems, IEEE Trans. Veh. Technol., vol. 62, no. 1, pp. 172–181, 2013.
[10]
Zhao J., Quek T. Q. S., Lei Z., Coordinated multipoint transmission with limited backhaul data transfer, IEEE Trans. Wireless Commun., vol. 12, no. 6, pp. 2762–2775, 2013.
[11]
Hong M., Sun R., Baligh H., Luo Z.-Q., Joint base station clustering and beamformer design for partial coordinated transmission in heterogeneous networks, IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 226–240, 2013.
[12]
Chen W., Dai L., Letaief K. B., Cao Z., A unified cross-layer framework for resource allocation in cooperative networks, IEEE Trans. Wireless Commun., vol. 7, no. 8, pp. 3000–3012, 2008.
[13]
Zhou X., Bai B., Chen W., Iterative antenna selection for multi-stream MIMO under a holistic power model, IEEE Wireless Commun. Lett., vol. 3, no. 1, pp. 82–85, 2014.
[14]
Zhou X., Bai B., Chen W., A low complexity energy efficiency maximization method for multiuser amplify-and-forward MIMO relay systems with a holistic power model, IEEE Commun. Lett., vol. 18, no. 8, pp. 1371–1374, 2014.
[15]
Zhou X., Bai B., Chen W., An iterative algorithm for joint antenna selection and power adaptation in energy efficient MIMO, in presented at IEEE ICC 2014, Sydney, Australia, 2014.
[16]
Bai B., Chen W., Letaief K. B., Cao Z., Outage and energy efficiency tradeoff for multi-flow cooperative communication systems, in presented at IEEE ICC 2014, Sydney, Australia, 2014.
[17]
Chen W., CAO-SIR: Channel aware ordered successive relaying, IEEE Trans. Wireless Commun., vol. 13, no. 12, pp. 6513–6527, 2012.
[18]
Luo B., Cui Q., Wang H., Tao X., Optimal joint water-filling for coordinated transmission over frequency-selective fading channels, IEEE Commun. Lett., vol. 15, no. 2, pp. 190–192, 2011.
[19]
Bai B., Chen W., Letaief K. B., Cao Z., Diversity-multiplexing tradeoff in OFDMA systems: An $\mathcal{H}$-matching approach, IEEE Trans. Wireless Commun., vol. 10, no. 11, pp. 3675–3687, 2011.
[20]
Chen W., Letaief K. B., Cao Z., Network interference cancellation, IEEE Trans. Wireless Commun., vol. 8, no. 12, pp. 5982–5999, 2009.
[21]
Liu J., Chen W., Cao Z., Zhang Y. J., Cooperative beamforming for cognitive radio networks: A cross-layer design, IEEE Trans. Commun., vol. 60, no. 5, pp. 1420–1431, 2012.
[22]
Wang J., Love D. J., Zoltowski M. D., User selection with zero-forcing beamforming achieves the asymptotically optimal sum rate, IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3713–3726, 2008.
[23]
Samardzija D., Huang H., Determining backhaul bandwidth requirements for network MIMO, in presented at the 17th European Signal Processing Conference, Glasgow, UK, 2009.
[24]
Cheng Y., Pesavento M., Philipp A., Joint network optimization and downlink beamforming for CoMP transmissions using mixed integer conic programming, IEEE Trans. Signal Process., vol. 61, no. 16, pp. 3971–3986, 2013.
[25]
Liu J., Chen W., Cao Z., Letaief K. B., Dynamic power and sub-carrier allocation for OFDMA-based wireless multicast systems, in presented at IEEE ICC 2008, Beijing, China, 2008.
[26]
Boyd S., Vandenberghe L., Convex Optimization. Cambridge, UK: Cambridge Univ. Press, 2004.
Tsinghua Science and Technology
Pages 574-582
Cite this article:
Wang D, Bai B, Chen W. Joint User Selection and Rate Adaptation Scheme in a Coordinated Multipoint Transmission System for Power Minimization. Tsinghua Science and Technology, 2015, 20(6): 574-582. https://doi.org/10.1109/TST.2015.7349929

430

Views

12

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 13 January 2015
Revised: 26 February 2015
Accepted: 13 April 2015
Published: 17 December 2015
© The author(s) 2015
Return