alengineeringlibrary.com) Copyright © 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website. Capacity and Quality Principles Capacity and Quality Principles Multicellular Systems," we apply the CDMA equations to derive realistic capacity estimates for the CDMA air interface in both forward and reverse directions. We explore how a myriad of environmental factors and equipment choices affect CDMA capacity. In Chap. 29, "CDMA Data Capacity Principles," we derive the data rate and bit error rate for second- and third-generation CDMA data services. Finally, in Chap. 30, "Capacity Issues Specific to CDMA," we explain how unique aspects of CDMA technology, such as soft and softer handoff and the speech coding algorithms specific to CDMA, affect overall CDMA capacity. We close Chap. 30 "Capacity Issues Specific to CDMA," with a section on radio capacity estimation, where we derive reasonable capacity figures for each of the CDMA standards. This lays the groundwork for the practical application of these principles in Part 6, "Planning for CDMA Capacity," and Part 7, "Increasing Capacity." Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright © 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website. Source: CDMA CAPACITY AND QUALITY OPTIMIZATION Chapter Capacity and Quality Tradeoffs This chapter explores the fundamental principles involved in making decisions that will change the way a system operates. Such decisions are essential to the process of improving or optimizing code division multiple access (CDMA) cellular networks. There are some general business and engineering guidelines for making decisions that are useful in cases where we cannot create a mathematical model of the system we want to improve. We can think of these as nonquantified decisions. If we are able to build a mathematical model of the system, then we can optimize the model and use