Downlink SlNR and Rate Distribution of Ultra-Dense HetNets with Burst Traffic
SINR distribution and rate overage distribution are crucial for optimization of deployment of Ultra-dense HetNets. Most existing literatures assume that BSs have full queues and full-buffer traffic. In fact, due to ultra-dense deployment of small cells, traffic in small cell varies dramatically in t...
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| Published in: | 中国通信：英文版 no. 9; pp. 24 - 32 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | SINR distribution and rate overage distribution are crucial for optimization of deployment of Ultra-dense HetNets. Most existing literatures assume that BSs have full queues and full-buffer traffic. In fact, due to ultra-dense deployment of small cells, traffic in small cell varies dramatically in time and space domains. Hence, it is more practical to investigate scenario with burst traffic. In this paper, we consider a two-tier non-uniform ultra-dense HetNet with burst traffic, where macro BSs are located according to Poisson Point Process （PPP）, and pico BSs are located according to Poisson Hole Process （PHP）. The closed-form expressions of SINR distribution and rate distribution are derived, and then validated through simulation. Our study shows that different from the result of full buffer case, the SINR distribution and rate distribu- tion of users depend on the average transmission probabilities of BSs in burst traffic case. |
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| Bibliography: | SINR distribution and rate overage distribution are crucial for optimization of deployment of Ultra-dense HetNets. Most existing literatures assume that BSs have full queues and full-buffer traffic. In fact, due to ultra-dense deployment of small cells, traffic in small cell varies dramatically in time and space domains. Hence, it is more practical to investigate scenario with burst traffic. In this paper, we consider a two-tier non-uniform ultra-dense HetNet with burst traffic, where macro BSs are located according to Poisson Point Process （PPP）, and pico BSs are located according to Poisson Hole Process （PHP）. The closed-form expressions of SINR distribution and rate distribution are derived, and then validated through simulation. Our study shows that different from the result of full buffer case, the SINR distribution and rate distribu- tion of users depend on the average transmission probabilities of BSs in burst traffic case. Ultra-dense HetNet, SINR and rate distribution; stochastic geometry; burst traffic; non-uniform network 11-5439/TN |
| ISSN: | 1673-5447 |