Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling
In this work, we consider interference performance under direct data transmission in a heterogeneous network. The heterogeneous network consists of <i>K</i>-tier base stations and users, whose locations follow independent Poisson point processes (PPPs). Packet arrivals of users follow in...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/8/2901 |
| _version_ | 1797569968692264960 |
|---|---|
| author | Jianfang Xin Ying Wang Qi Zhu Guangjun Liang Tianjiao Zhang |
| author_facet | Jianfang Xin Ying Wang Qi Zhu Guangjun Liang Tianjiao Zhang |
| author_sort | Jianfang Xin |
| collection | DOAJ |
| description | In this work, we consider interference performance under direct data transmission in a heterogeneous network. The heterogeneous network consists of <i>K</i>-tier base stations and users, whose locations follow independent Poisson point processes (PPPs). Packet arrivals of users follow independent Bernoulli processes. Two different scheduling policies, round-robin (RR) and random scheduling (RS), are employed to all the Base Stations (BS). The universal frequency reuse mode is adopted to reveal actual spectrum reuse. By leveraging stochastic geometry and queueing theory, the interference interactions of the proposed network are accurately modelled. Accurate expressions for the mean packet throughputs of the network under universal frequency reuse mode are derived. The simulation results explore the optical bias factors in heterogeneous networks to maximize the mean packet throughput. Under a given user density, by changing BS densities, we achieved a certain mean packet throughput level. |
| first_indexed | 2024-03-10T20:18:45Z |
| format | Article |
| id | doaj.art-cc0145542e184cee82ee9c20020745fb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T20:18:45Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cc0145542e184cee82ee9c20020745fb2023-11-19T22:25:00ZengMDPI AGApplied Sciences2076-34172020-04-01108290110.3390/app10082901Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and SchedulingJianfang Xin0Ying Wang1Qi Zhu2Guangjun Liang3Tianjiao Zhang4College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaDepartment of Computer Information and Network Security, Jiangsu Police Institute, Nanjing 210031, ChinaDepartment of Information Engineering, Jiangsu Institute of Technology, Changzhou 213001, ChinaIn this work, we consider interference performance under direct data transmission in a heterogeneous network. The heterogeneous network consists of <i>K</i>-tier base stations and users, whose locations follow independent Poisson point processes (PPPs). Packet arrivals of users follow independent Bernoulli processes. Two different scheduling policies, round-robin (RR) and random scheduling (RS), are employed to all the Base Stations (BS). The universal frequency reuse mode is adopted to reveal actual spectrum reuse. By leveraging stochastic geometry and queueing theory, the interference interactions of the proposed network are accurately modelled. Accurate expressions for the mean packet throughputs of the network under universal frequency reuse mode are derived. The simulation results explore the optical bias factors in heterogeneous networks to maximize the mean packet throughput. Under a given user density, by changing BS densities, we achieved a certain mean packet throughput level.https://www.mdpi.com/2076-3417/10/8/2901stochastic geometryqueueing theoryuniversal frequency reusingscheduling schemesbias associationmean packet throughput |
| spellingShingle | Jianfang Xin Ying Wang Qi Zhu Guangjun Liang Tianjiao Zhang Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling Applied Sciences stochastic geometry queueing theory universal frequency reusing scheduling schemes bias association mean packet throughput |
| title | Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling |
| title_full | Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling |
| title_fullStr | Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling |
| title_full_unstemmed | Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling |
| title_short | Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling |
| title_sort | performance analysis in heterogeneous networks with spatiotemporal traffic and scheduling |
| topic | stochastic geometry queueing theory universal frequency reusing scheduling schemes bias association mean packet throughput |
| url | https://www.mdpi.com/2076-3417/10/8/2901 |
| work_keys_str_mv | AT jianfangxin performanceanalysisinheterogeneousnetworkswithspatiotemporaltrafficandscheduling AT yingwang performanceanalysisinheterogeneousnetworkswithspatiotemporaltrafficandscheduling AT qizhu performanceanalysisinheterogeneousnetworkswithspatiotemporaltrafficandscheduling AT guangjunliang performanceanalysisinheterogeneousnetworkswithspatiotemporaltrafficandscheduling AT tianjiaozhang performanceanalysisinheterogeneousnetworkswithspatiotemporaltrafficandscheduling |