Planning and optimisation of smart antenna base stations in 3G networks

In the initial UMTS infrastructure deployment, sector antenna-equipped base sites will predominate. It is likely that the first switched-beam antenna products will be available in 2001/2, when build out is underway. Operators may choose to replace sector antennas for switched beam units on some sites where traffic demand is expected to be very high. The 'smart sectorisation' of a site's coverage area afforded by this type of smart antenna product can be used to enhance capacity by reducing overall interference levels. This is a kind of SFIR (spatial filtering for interference reduction). Early in UMTS Phase 1, fully adaptive antennas will become available to network operators. This class of smart antenna offers enhanced SFIR capability relative to that of the switched beam units, and additionally offers the possibility of single-cell frequency reuse, SDMA (space division multiple access). In SDMA, the network capacity is increased via a double benefit of optimum/switched beamforming. Firstly, overall interference levels are reduced as a result of more closely targeting power toward the terminal of interest. Secondly, optimal minimisation of unwanted power from non-served terminals allows scarce short channelisation codes to be reused by high data-rate users within the coverage area of the same cell. Planning tools for 3G networks will harness the potential of these revolutionary changes in network infrastructure, and additionally will alleviate the complexity for the radio planner of handling a multiservice, multi-bearer environment.

[1]  K. L. Yeung,et al.  Channel management in microcell/macrocell cellular radio systems , 1996 .

[2]  H. Hashemi,et al.  The indoor radio propagation channel , 1993, Proc. IEEE.

[3]  Andrzej Osyczka,et al.  Evolutionary Algorithms for Single and Multicriteria Design Optimization , 2001 .

[4]  Laurence B. Milstein,et al.  Comparison of diversity combining techniques for Rayleigh-fading channels , 1996, IEEE Trans. Commun..

[5]  Kishor S. Trivedi,et al.  Sufficient Conditions for Existence of a Fixed Point in Stochastic Reward Net-Based Iterative Models , 1996, IEEE Trans. Software Eng..

[6]  M. D. Austin,et al.  Velocity adaptive handoff algorithms for microcellular systems , 1993, Proceedings of 2nd IEEE International Conference on Universal Personal Communications.

[7]  B. H. Fleury,et al.  Radiowave propagation in mobile communications: an overview of European research , 1996 .

[8]  Ramjee Prasad,et al.  Universal wireless personal communications , 1998, Mobile communications series.

[9]  Taewon Hwang,et al.  Reverse link capacity analysis of a CDMA cellular system with mixed cell sizes , 2000, IEEE Trans. Veh. Technol..

[10]  Yang Dacheng,et al.  Soft handoff design and realization for C-CDMA systems , 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

[11]  Seong-Lyun Kim,et al.  A generalized algorithm for constrained power control with capability of temporary removal , 2001, IEEE Trans. Veh. Technol..

[12]  Mohamed-Slim Alouini,et al.  An MGF-based performance analysis of generalized selection combining over Rayleigh fading channels , 2000, IEEE Trans. Commun..

[13]  J. M. Holtzman,et al.  Analysis of handoff algorithms using nonstationary signal strength measurements , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[14]  Jonathan P. Castro,et al.  The UMTS Network and Radio Access Technology: Air Interface Techniques for Future Mobile Systems , 2001 .

[15]  Dongwoo Kim,et al.  A simple algorithm for adjusting cell-site transmitter power in CDMA cellular systems , 1999 .

[16]  A. Murase,et al.  Handover criterion for macro and microcellular systems , 1991, [1991 Proceedings] 41st IEEE Vehicular Technology Conference.

[17]  Jens Zander,et al.  Gradual removals in cellular PCS with constrained power control and noise , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Changeon Kang,et al.  A call control scheme for soft handoff in CDMA cellular systems , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[19]  Roy D. Yates,et al.  Constrained power control , 1994, Wirel. Pers. Commun..

[20]  Andrew J. Viterbi,et al.  Other-cell interference in cellular power-controlled CDMA , 1994, IEEE Trans. Commun..

[21]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[22]  Moe Z. Win,et al.  Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[23]  J. D. Parsons,et al.  The Mobile Radio Propagation Channel , 1991 .

[24]  Deepa Ramakrishna On improving call drop rates in cdma2000 , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[25]  Harri Holma,et al.  Analysis of CDMA downlink capacity enhancements , 1997, Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97.

[26]  Seong-Lyun Kim Optimization approach to prioritized transmitter removal in a multiservice cellular PCS , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[27]  D.L. Schilling,et al.  Urban/suburban out-of-sight propagation modeling , 1992, IEEE Communications Magazine.

[28]  Lucas Elicegui,et al.  Power control algorithms for soft handoff users in UMTS , 2002, Proceedings IEEE 56th Vehicular Technology Conference.