Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Network architecture and protocols
- 3 Downlink access
- 4 Single-carrier FDMA
- 5 Reducing uplink signal peakiness
- 6 Transmit diversity
- 7 MIMO spatial multiplexing
- 8 Channel structure and bandwidths
- 9 Cell search and reference signals
- 10 Random access
- 11 Channel coding
- 12 Scheduling, link adaptation and hybrid ARQ
- 13 Power control
- 14 Uplink control signaling
- 15 Downlink control signaling
- 16 Inter-cell interference control
- 17 Single frequency network broadcast
- 18 Spatial channel model
- 19 LTE performance verification
- Index
18 - Spatial channel model
Published online by Cambridge University Press: 28 February 2011
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Network architecture and protocols
- 3 Downlink access
- 4 Single-carrier FDMA
- 5 Reducing uplink signal peakiness
- 6 Transmit diversity
- 7 MIMO spatial multiplexing
- 8 Channel structure and bandwidths
- 9 Cell search and reference signals
- 10 Random access
- 11 Channel coding
- 12 Scheduling, link adaptation and hybrid ARQ
- 13 Power control
- 14 Uplink control signaling
- 15 Downlink control signaling
- 16 Inter-cell interference control
- 17 Single frequency network broadcast
- 18 Spatial channel model
- 19 LTE performance verification
- Index
Summary
Specification of a propagation channel model is of foremost importance in the design of a wireless communication system. A propagation model is used to predict how the channel affects the transmitted signal so that transmitters and receivers that best compensate for the channel's corrupting behaviors can be developed. A propagation model is also used as a basis for performance evaluation and comparison of competing wireless technologies. An example of such propagation models is ITU-R channel models that were developed for IMT-2000 system evaluation. A wireless propagation channel model needs to be refined as new system parameters (e.g. larger bandwidths and new frequency bands) or radio technologies exploiting new characteristics of the channel such as multi-antenna schemes are introduced. A well-defined channel model allows for the assessing of the system performance under new parameters as well as gains due to introduction of new radio technologies. The performance of multi-antennas technologies, for example, depends upon the spatial correlations between antennas. As ITU-R channel models do not characterize the spatial correlations, using these propagation models may lead to overestimating the gains of multi-antenna techniques. In order to provide a reasonable propagation platform for multi-antenna techniques evaluation, the spatial channel model (SCM) was developed. The SCM defines a ray-based model derived from stochastic modeling of scatters and therefore allows to model spatial correlations required for evaluation of multi-antenna techniques.
- Type
- Chapter
- Information
- LTE for 4G Mobile BroadbandAir Interface Technologies and Performance, pp. 448 - 467Publisher: Cambridge University PressPrint publication year: 2009