RESEARCH ARTICLE

Power allocation for collaborative transmission in LTE-Advanced

  • Jing JIN , 1 ,
  • Chongsheng LIN 1 ,
  • Qixing WANG 2 ,
  • Hongwen YANG 1 ,
  • Yafeng WANG 1
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  • 1. Wireless Theories and Technologies Lab (WT&T), Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 2. China Mobile Research Institute, Beijing 100053, China

Received date: 28 Jan 2010

Accepted date: 28 Mar 2011

Published date: 05 Dec 2011

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Collaborative transmission among evolved Node-Bs (eNBs) is one of the promising techniques for LTE-Advanced to provide broader coverage and higher spectral efficiency. The interference among multi-cell transmission can be mitigated by joint precoding, such as multi-cell block diagonalization (BD) at cooperative eNBs. The major difference between multi-cell and single-cell transmission is that the power constraint has to be considered on a per-eNB basis. To satisfy per-eNB power constraint (PePC), a simplified power allocation algorithm for the multi-cell BD based collaborative transmission is proposed in this paper. The algorithm provides a power allocation coefficient matrix for BD to meet PePC. Simulation results demonstrate that the proposed algorithm has a near-optimal performance with simplicity.

Cite this article

Jing JIN , Chongsheng LIN , Qixing WANG , Hongwen YANG , Yafeng WANG . Power allocation for collaborative transmission in LTE-Advanced[J]. Frontiers of Electrical and Electronic Engineering, 2011 , 6(4) : 515 -520 . DOI: 10.1007/s11460-011-0110-x

Acknowledgements

This work was supported by the Research Institution of China Mobile.
1
Catreux S, Driessen P F, Greenstein L J. Simulation results for an interference-limited multiple-input multiple-output cellular system. IEEE Communications Letters, 2000, 4(11): 334-336

DOI

2
Andrews J G, Choi W, Heath R W Jr. Overcoming interference in spatial multiplexing MIMO cellular networks. IEEE Wireless Communications, 2007, 14(6): 95-104

DOI

3
3GPP TR 36.814 v1.5.0. Further Advancements for E-UTRA Physical Layer Aspects (Release 9). <month>Nov.</month>2009

4
Shamai S, Zaidel B M. Enhancing the cellular downlink capacity via co-processing at the transmitting end. In: Proceedings of IEEE Vehicular Technology Conference. 2001, 3: 1745-1749

5
Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Transactions on Signal Processing, 2004, 52(2): 461-471

DOI

6
Shim S, Kwak J, Heath R W Jr, Andrews J G. Block diagonalization for multi-user MIMO with other-cell interference. IEEE Transactions on Wireless Communications, 2008, 7(7): 2671-2681

7
Ng B L, Evans J S, Hanly S V, Aktas D. Distributed downlink beamforming with cooperative base stations. IEEE Transactions on Information Theory, 2008, 54(12): 5491-5499

DOI

8
Hadisusanto Y, Thiele L, Jungnickel V. Distributed base station cooperation via block-diagonalization and dual-decomposition. In: Proceedings of IEEE Global Telecommunications Conference. 2008, 1-5

9
Sigdel S, Krzymien W A. Simplified fair scheduling and antenna selection algorithms for multiuser MIMO orthogonal space-division multiplexing downlink. IEEE Transactions on Vehicular Technology, 2009, 58(3): 1329-1344

DOI

10
Zhang J, Chen R H, Andrews J G, Ghosh A, Heath R W Jr. Networked MIMO with clustered linear precoding. IEEE Transactions on Wireless Communications, 2009, 8(4): 1910-1921

11
Kaneko M, Popovski P, Dahl J. Proportional fairness in multi-carrier system with multi-slot frames: Upper bound and user multiplexing algorithms. IEEE Transactions on Wireless Communications, 2008, 7(1): 22-26

DOI

12
3GPP TS 36.211 v9.0.0. Physical Channels and Modulation (Release 8). Dec. 2009

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