Title | ||
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Coverage and Capacity Optimization Analysis in Heterogeneous Cellular Networks Based on Truncated Function. |
Abstract | ||
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This paper presents a framework for coverage and capacity optimization (CCO) in HCNs from stochastic geometry theory. Unlike conventional approaches, we propose a concept of effective capacity as the optimization objective, which involves implicit index of coverage in the form of truncation function. The main idea is to model the coverage probability, average rate and joint objective considering noise where the location of base stations are spatially distributed as a Poisson Point Process. Under an adaptive power allocation assumption, we improve iterative approach with percentile level to find an effective increasing direction of transmit power. The simulation shows that the theoretical analysis and optimization objective are feasible and the adjustment of percentile level serves as a flexible solution for CCO. |
Year | DOI | Venue |
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2016 | 10.1007/s11277-016-3271-3 | Wireless Personal Communications |
Keywords | Field | DocType |
Heterogeneous cellular networks,Coverage and capacity optimization,Effective capacity,Poisson point process | Stochastic geometry,Truncation,Mathematical optimization,Transmitter power output,Computer science,Cellular network,Poisson point process,Coverage probability,Capacity optimization,Percentile | Journal |
Volume | Issue | ISSN |
89 | 2 | 0929-6212 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaojuan Wang | 1 | 15 | 5.70 |
Mei Song | 2 | 265 | 44.50 |
yinglei teng | 3 | 91 | 19.76 |
Anqi Xing | 4 | 0 | 0.68 |
Deyu Yuan | 5 | 0 | 0.68 |