An Adaptive Spectrum Allocation Algorithm in Ultra-Dense Network
| Autor: | Jun Zhu, Kai Li, Chaochao Jia, Chao Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
05 social sciences Bandwidth (signal processing) 050801 communication & media studies 020206 networking & telecommunications Throughput 02 engineering and technology Spectral efficiency Frequency allocation Network planning and design 0508 media and communications Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering Resource management Enhanced Data Rates for GSM Evolution Cluster analysis Algorithm Throughput (business) |
| Zdroj: | 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO). |
| DOI: | 10.1109/controlo.2018.8439808 |
| Popis: | In this paper, we propose a novel method to adaptively adjust the parameter threshold used in overlapping frequency. We verify the performance of the proposed algorithm from the system simulation. Compared with the traditional network planning scheme which needs setting parameters manually, the optimal threshold is adaptively adjusted according to the distribution of the users. The simulation results show that the algorithm can improve the signal-to-interference-plus-noise-ratio (SINR) performance of users and the cell throughput when the users are distributed in the edge of cell coverage which owns the same optimization result as traditional optimization method. So the algorithm can effectively solve the decrease problem of spectral efficiency when the threshold in frequency overlap is set unreasonable and also save a lot of labour cost on setting parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|