Communication and Information Engineering

Power Allocation and Interference Mitigation Schemes for Cellular System with Base Station Cooperation on the Downlink

Expand
  • School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China

Received date: 2012-10-18

  Online published: 2013-06-30

Abstract

Capacity of a cellular system on the downlink is significantly limited by inter-cell interference (ICI), especially at the cell boundary. Multi-cell joint processing can mitigate ICI and thereby greatly improve performance and spectral efficiency of cellular systems. This paper considers a cellular system with base
station (BS) cooperation on the downlinkand propose an adaptive power allocation scheme to compensate the channel fading effect. Further, a BS cooperation transmission method is proposed to remove ICI experienced by cell boundary users. The method is inner joint distributed space-time coding (IN-J-DSTC) BS cooperation transmission with pre-coding. Simulation results show that the bit error rate (BER) performance can be significantly improved by effectively suppressing ICI with the proposed BS cooperation schemes and by allocating transmit power adaptively between the source and the cooperative BS according to the channels between them and the destination.

Cite this article

AI Ting, WU Zhuo . Power Allocation and Interference Mitigation Schemes for Cellular System with Base Station Cooperation on the Downlink[J]. Journal of Shanghai University, 2013 , 19(3) : 259 -265 . DOI: 10.3969/j.issn.1007-2861.2013.03.009

References

[1] Somekh O, Zaidel B, Shamai S. Sum rate characterization of joint multiple cell-site processing [J]. IEEE Trans Inf Theory, 2007, 53: 4473-4497.

[2] Zhou S, Gong J, Niu Z S. A decentralized framework for dynamic downlink base station cooperation [C]// IEEE Global Telecommunications Conference. 2009: 1-6.

[3] Lee N, Lee K, Nam E. Base station selection technique for MMSE joint transmission in downlink cooperative MIMO system [C]// IEEE Wireless Communications and Networking Conference. 2009: 1-5.

[4] Wiese M, Boche H, Bjelakovic I. Downlink with partially cooperating base stations [C]// IEEE Eleventh International Workshop on Signal Processing Advances in Wireless Communications. 2010: 1-5.

[5] Xu J, Choi J, Seo J. Distributed space-time coding and equalization for cooperative cellular communications system [J]. IEEE Transactions on Consumer Electron, 2008, 54(1): 47-51.

[6] Laneman J N, Wornell G W. Distributed spacetime coded protocols for exploiting cooperative diversity in wireless networks [J]. IEEE Trans Inf Theory, 2003, 49(10): 2415-2425.

[7] Ai T, Wu Z. Interference mitigation for downlink base station cooperation with joint distributed spacetime coding [C]// 2011 IET International Communication Conference on Wireless Mobile & Computing. 2011: 201-206.

[8] Zhao L, Mark J W, Ding J. Power distribution/allocation in multirate wideband CDMA systems [J]. IEEE Transactions on Wireless Communications, 2006, 5(9): 2458-2467.

[9] Zhang J, Zha Q, Shao C, et al. Adaptive optimal transmit power allocation for two-hop nonregenerative wireless relay system [C]//Proc IEEE Vehicular Technology Conf. 2004: 1213-1217.

[10] Pirak C, Wang Z J, Liu K J R. An adaptive protocol for cooperative communications achieving asymptotic minimum symbol-error-rate [C]// Proceedings IEEE Acoustic, Speech and Signal Processing. 2006: Ⅳ53-Ⅳ56.

[11] Maham B, Hjørungnes A. Power allocation strategies for distributed space-time codes in amplify-andforward mode [J]. Eurasip J Adv Signal Process, 2009: 1-14.

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

[13] Xu M, Guo D, Honig M L. Two-cell downlink noncoherent cooperation without transmitter phase alignment [C]//Proceedings of IEEE GLOBECOM 2010. 2010: 1-5.

[14] Alamouti S M. A simple transmitter diversity scheme for wireless communication [J]. IEEE J Sel Areas Commun, 1998, 16(8): 1451-1458.

[15] Sharma N, Geraniotis E. Analyzing the performance of the space-time block codes with partial channel state feedback [C]//Proceedings of IEEE Wireless Communications and Networking Conference. 2000: 1362-1366.

[16] Tarokh V, Jafarkhani H, Calderbank A R. Space-time block coding for wireless communications: performance results [J]. IEEE Journal on Selected Areas in Communications, 1999, 17(3): 451-460.
Outlines

/