Base station placement for in-building mobile communication systems to yield high capacity and efficiency

A study is made of the problem of placing base stations to yield high capacity and efficiency in an in-building direct-sequence code-division multiple-access wireless communication system. A key requirement for solving this problem is a reliable but simple model of in-building propagation. A number of propagation models are considered as part of a system's performance analysis and are found to produce widely ranging levels of accuracy. Correlated shadowing is identified as being a 'key'in-building propagation characteristic that has the potential to strongly influence the system's performance. Propagation models that included correlated shadowing are shown to produce the most accurate estimates of outage probability when there are a number of interferers facing a user. Base station deployment is shown to be a dominant factor influencing the levels of correlated shadowing, and consequently, base station deployment is shown to have major implications on the system's performance. The system's performance for a variety of base station deployment strategies has been determined. The results indicate that there is a tradeoff between system simplicity and performance.

[1]  Andrew J. Viterbi,et al.  Erlang Capacity of a Power Controlled Cdma System , 1993, Proceedings. IEEE International Symposium on Information Theory.

[2]  A. G. Williamson,et al.  Influence of correlated shadowing and base station configuration on in-building system capacity , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[3]  Hiroshi Yoshiura,et al.  An evaluation point culling algorithm for radio propagation simulation based on the imaging method , 1996 .

[4]  Rainer Gahleitner,et al.  Prediction of indoor radio propagation with the ray splitting model including edge diffraction and rough surfaces , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[5]  Theodore S. Rappaport,et al.  Site-specific propagation prediction for wireless in-building personal communication system design , 1994 .

[6]  Kevin W. Sowerby,et al.  Implications of propagation modeling on the design of a DS-CDMA in-building mobile communication system , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[7]  Theodore S. Rappaport,et al.  Performance Evaluation for Cellular CDMA , 1992, IEEE J. Sel. Areas Commun..

[8]  Kevin W. Sowerby,et al.  Correlated shadowing in an in-building propagation environment , 1997 .

[9]  Reinaldo A. Valenzuela.  A ray tracing approach to predicting indoor wireless transmission , 1993, IEEE 43rd Vehicular Technology Conference.

[10]  Hirofumi Suzwi,et al.  A Statistical Model for Urban Radio Propagation , 1977 .

[11]  H. Suzuki,et al.  A Statistical Model for Urban Radio Propogation , 1977, IEEE Trans. Commun..

[12]  S. Seidel,et al.  914 MHz path loss prediction models for indoor wireless communications in multifloored buildings , 1992 .

[13]  Andrew J. Viterbi,et al.  Erlang Capacity of a Power Controlled CDMA System , 1993, IEEE J. Sel. Areas Commun..

[14]  Theodore S. Rappaport,et al.  A ray tracing technique to predict path loss and delay spread inside buildings , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[15]  R.L. Hamilton,et al.  Ray tracing as a design tool for radio networks , 1991, IEEE Network.