Abstract
Recognized as an efficient technology allowing enhanced high-data-rate coverage, multicell cooperation builds on collaborative operation of distributed network elements aiming to reduce the impact of intercell interference, or even to exploit it as a source of additional information. However, performance gains arising from this collaboration come at a price of increased complexity and coordination among involved network elements. An immediate question is how to adequately model a multicell cooperative network, while striking the balance between analytic complexity and precision of design decisions. In this article we highlight two categories of multicell network models, Wyner models and random network models, and their impact on the design and analysis of MCC systems. Recent examples of realistic yet tractable multicell network models are discussed.
| Original language | British English |
|---|---|
| Article number | 6472202 |
| Pages (from-to) | 75-81 |
| Number of pages | 7 |
| Journal | IEEE Wireless Communications |
| Volume | 20 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2013 |