Christophe Chevallier

WCDMA (UMTS) deployment handbook : planning and optimization aspects

List of contributors. Foreword. Preface. Acronyms. Acknowledgement. 1. INTRODUCTION TO UMTS NETWORKS (Patrick Chan, Andrea Garavaglia, Christophe Chevallier). 1.1 UMTS NETWORK TOPOLOGY. 1.2 WCDMA CONCEPTS. 1.3 WCDMA NETWORK DEPLOYMENT OPTIONS. 1.4 THE EFFECTS OF VENDOR IMPLEMENTATION. 2. RF PLANNING AND OPTIMIZATION (Christophe Chevallier). 2.1 INTRODUCTION. 2.2 OVERVIEW OF THE NETWORK DEPLOYMENT PROCESS. 2.3 LINK BUDGETS. 2.4 NETWORK PLANNING TOOLS. 2.5 INTERFERENCE CONSIDERATIONS DURING NETWORK PLANNING. 2.6 TOPOLOGY PLANNING. 2.7 PARAMETER SETTINGS AND OPTIMIZATION DURING NETWORK PLANNING. 2.8 RF OPTIMIZATION. 3. CAPACITY PLANNING AND OPTIMIZATION (Christophe Chevallier). 3.1 BASIC UMTS TRAFFIC ENGINEERING. 3.2 EFFECT OF VIDEO-TELEPHONY AND PS DATA ON TRAFFIC ENGINEERING. 3.3 MULTI-SERVICE TRAFFIC ENGINEERING. 3.4 CAPACITY PLANNING. 3.5 OPTIMIZING FOR CAPACITY. 4. INITIAL PARAMETER SETTINGS (Christopher Brunner, Andrea Garavaglia, Christophe Chevallier). 4.1 Introduction. 4.2 Physical Layer Parameters. 4.3 Intra-Frequency Cell Reselection Parameters. 4.4 Access Parameter Recommendations. 4.5 Intra-Frequency Handover Parameters. 5. SERVICE OPTIMIZATION (Andrea Forte, Patrick Chan, Christophe Chevallier). 5.1 KPI AND LAYERED OPTIMIZATION APPROACH. 5.2 VOICE SERVICE OPTIMIZATION. 5.3 VIDEO TELEPHONY SERVICE OPTIMIZATION. 5.4 PS DATA SERVICE OPTIMIZATION. 6. INTER-SYSTEM PLANNING AND OPTIMIZATION (Andrea Garavaglia, Christopher Brunner, Christophe Chevallier). 6.1 INTRODUCTION. 6.2 INTER-SYSTEM BOUNDARY PLANNING. 6.3 INTER-SYSTEM TRANSITIONS IN CONNECTED MODE. 6.4 INTER-SYSTEM TRANSITIONS IN IDLE MODE. 6.5 TEST SETUP FOR INTER-SYSTEM HANDOVER AND CELL RESELECTION PERFORMANCE ASSESSMENT. 6.6 OPTIMIZING INTER-SYSTEM PARAMETERS. 6.7 ADDITIONAL INTER-SYSTEM PLANNING AND OPTIMIZATION ISSUES. 7. HSDPA (Kevin Murray, Sunil Patil). 7.1 MOTIVATIONS FOR HSDPA. 7.2 HSDPA CONCEPTS. 7.3 HSDPA PLANNING. 7.4 HSDPA OPERATION AND OPTIMIZATION. 7.5 HSDPA KEY PERFORMANCE INDICATORS (KPI). 7.6 TEST SETUP. 8. INDOOR COVERAGE (Patrick Chan, Ken Baker, Christophe Chevallier). 8.1 INTRODUCTION. 8.2 DESIGN APPROACH AND ECONOMIC CONSIDERATIONS. 8.3 COVERAGE PLANNING AND IMPACT ON CAPACITY. 8.4 OPTIMIZING INDOOR SYSTEMS. Index.

Network Scaling for Achieving Energy Efficient Cellular Networks - A Quantitative Analysis

In this paper, we consider a network scaling approach to realize network energy savings (NES). As cellular networks are typically deployed to meet the high traffic demand during the busy hour, a scaled down version of the network should be able to effectively handle the low traffic load in the off-peak hours without compromising the network performance. In order to demonstrate the realistic utility of this idea, we conducted a network energy savings analysis for a commercially deployed dual-carrier UMTS network. In an urban area, it is found that 20% - 35% of the cells can be switched off during the off-peak hours even after turning off one carrier entirely. Based on the base station energy consumption model developed from the measurements in commercial base stations, this translates to 11% network energy savings. In a suburban area, on the other hand, it is found that approximately 12% of the sites can be switched off after disabling one carrier. This still offers 8% network energy savings.