Abstract
Cooperation in cellular networks has been recently suggested as a promising scheme to improve system performance. In this work, clusters are formed based on the Mutually Nearest Neighbour relation, which defines which stations cooperate in pair and which do not. When node positions follow a Poisson Point Process (PPP) the performance of the original clustering model can be approximated by another one, formed by the superposition of two PPPs (one for the singles and one for the pairs) equipped with adequate marks. This allows to derive exact expressions for the network coverage probability under two user-cluster association rules. Numerical evaluation shows coverage gains from different signal cooperation schemes that can reach up to 15% compared to the standard non- cooperative network coverage. The analysis is general and can be applied to any type of cooperation or coordination between pairs of transmitting nodes.
| Original language | English |
|---|---|
| Article number | 7841705 |
| Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOIs | |
| Publication status | Published - 1 Jan 2016 |
| Externally published | Yes |
| Event | 59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: 4 Dec 2016 → 8 Dec 2016 |
Keywords
- Cellular Network
- CoMP
- Cooperation
- Coverage
- Nearest Neighbour
- Poisson Point Process
- Thinning
Fingerprint
Dive into the research topics of 'Coverage gains from the static cooperation of mutually nearest neighbours'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver