Name
Abstract | ||
|---|---|---|
Small cell enhancement has been considered as a promising way to cope with the rapid growth of need in mobile data traffic. However, it also leads to severe inter-cell interference, which means that some interference mitigation scheme is indispensable. Among lots of interference mitigation scheme, small cell on/off adaptation is thought to be an effective one. In this paper, small cells are modeled as a 2-D Poisson point process (PPP) based on stochastic geometry. And then the coverage probability of the small cell network can be derived as a tractable close-form expression. In addition, a Monte Carlo simulation is performed to verify the accuracy of the stochastic geometry model. Subsequently, the numerical results shows that small cell on/off adaptation can improve the receiving signal to interference plus noise ratio (SINR) of small cell downlink transmission by 4-6 dB. Meanwhile, the average ergodic transmission rate and power efficiency are both enhanced due to the improvement of the wireless environment. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CHINACOM.2014.7054312 | ChinaCom |
Keywords | Field | DocType |
monte carlo methods,cellular radio,stochastic processes,telecommunication traffic,2d poisson point process,monte carlo simulation,average ergodic transmission rate,coverage probability,inter-cell interference,mobile data traffic,power efficiency,receiving signal to interference plus noise ratio,small cell downlink transmission,small cell enhancement,stochastic geometry study,tractable close-form expression,interference mitigation,on/off adaptation,small cell,stochastic geometry,signal to noise ratio,mathematical model,mobile communication,interference | Stochastic geometry,Monte Carlo method,Wireless,Simulation,Computer science,Control theory,Signal-to-noise ratio,Stochastic process,Real-time computing,Signal-to-interference-plus-noise ratio,Interference (wave propagation),Poisson point process | Conference |
Citations | PageRank | References |
1 | 0.40 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhesheng Lin | 1 | 79 | 4.27 |
| Yuehong Gao | 2 | 79 | 15.28 |
| bimeng gong | 3 | 1 | 0.73 |
| xin zhang | 4 | 1 | 0.73 |
| Dacheng Yang | 5 | 813 | 134.20 |