Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs
The integration of massive multiple-input and multiple-output (MIMO) enabled heterogeneous cellular networks (HCNs) and Internet of Things (IoT) is a promising treatment for future networking paradigms. In such networks, the human-to-human (H2H) devices and IoT devices have some distinct service req...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9068213/ |
| _version_ | 1818664569952796672 |
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| author | Tianqing Zhou Yanli Liu Dong Qin Xuefang Nie Xuan Li Chunguo Li Luxi Yang |
| author_facet | Tianqing Zhou Yanli Liu Dong Qin Xuefang Nie Xuan Li Chunguo Li Luxi Yang |
| author_sort | Tianqing Zhou |
| collection | DOAJ |
| description | The integration of massive multiple-input and multiple-output (MIMO) enabled heterogeneous cellular networks (HCNs) and Internet of Things (IoT) is a promising treatment for future networking paradigms. In such networks, the human-to-human (H2H) devices and IoT devices have some distinct service requirements. Specifically, the former mainly concentrates on downlink throughput, but the latter pays more attention to uplink power consumption. Based on this, we design a device association mechanism (scheme) to achieve a tradeoff between these two performance metrics under devices' association requirements. Through some appropriate adjustments of weighting parameters, different types of devices can improve their performance metrics of interest. At last, such a scheme is formulated as a network-wide logarithmic utility maximization problem in a nonlinear and combinatorial form. To solve it, we develop two types of association algorithms, whose primary difference lies in the treatment of weighting parameters. Then, we show the corresponding convergence and computation complexity analyses for them. Finally, we investigate the impacts of weighting parameters, the BS power and the number of antennas on some certain performance metrics of designed algorithms and other existing one. The simulation results show that the designed algorithms can meet different devices' association requirements by properly adjusting weighting parameters. |
| first_indexed | 2024-12-17T05:34:50Z |
| format | Article |
| id | doaj.art-bebb5e582bb94b89bda518d624658d1b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:34:50Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bebb5e582bb94b89bda518d624658d1b2022-12-21T22:01:39ZengIEEEIEEE Access2169-35362020-01-018729717298410.1109/ACCESS.2020.29880429068213Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNsTianqing Zhou0https://orcid.org/0000-0002-3176-0358Yanli Liu1https://orcid.org/0000-0002-2691-034XDong Qin2https://orcid.org/0000-0002-9210-9067Xuefang Nie3https://orcid.org/0000-0002-5657-7445Xuan Li4Chunguo Li5https://orcid.org/0000-0001-9217-4523Luxi Yang6https://orcid.org/0000-0003-1474-1806School of Information Engineering, East China Jiaotong University, Nanchang, ChinaSchool of Information Engineering, East China Jiaotong University, Nanchang, ChinaSchool of Information Engineering, Nanchang University, Nanchang, ChinaSchool of Information Engineering, East China Jiaotong University, Nanchang, ChinaSchool of Information Engineering, East China Jiaotong University, Nanchang, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing, ChinaThe integration of massive multiple-input and multiple-output (MIMO) enabled heterogeneous cellular networks (HCNs) and Internet of Things (IoT) is a promising treatment for future networking paradigms. In such networks, the human-to-human (H2H) devices and IoT devices have some distinct service requirements. Specifically, the former mainly concentrates on downlink throughput, but the latter pays more attention to uplink power consumption. Based on this, we design a device association mechanism (scheme) to achieve a tradeoff between these two performance metrics under devices' association requirements. Through some appropriate adjustments of weighting parameters, different types of devices can improve their performance metrics of interest. At last, such a scheme is formulated as a network-wide logarithmic utility maximization problem in a nonlinear and combinatorial form. To solve it, we develop two types of association algorithms, whose primary difference lies in the treatment of weighting parameters. Then, we show the corresponding convergence and computation complexity analyses for them. Finally, we investigate the impacts of weighting parameters, the BS power and the number of antennas on some certain performance metrics of designed algorithms and other existing one. The simulation results show that the designed algorithms can meet different devices' association requirements by properly adjusting weighting parameters.https://ieeexplore.ieee.org/document/9068213/Heterogeneous cellular networks (HCNs)massive MIMOInternet of Things (IoT)human-to-human (H2H)device associationpower coordination |
| spellingShingle | Tianqing Zhou Yanli Liu Dong Qin Xuefang Nie Xuan Li Chunguo Li Luxi Yang Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs IEEE Access Heterogeneous cellular networks (HCNs) massive MIMO Internet of Things (IoT) human-to-human (H2H) device association power coordination |
| title | Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs |
| title_full | Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs |
| title_fullStr | Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs |
| title_full_unstemmed | Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs |
| title_short | Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs |
| title_sort | joint device association and power coordination for h2h and iot communications in massive mimo enabled hcns |
| topic | Heterogeneous cellular networks (HCNs) massive MIMO Internet of Things (IoT) human-to-human (H2H) device association power coordination |
| url | https://ieeexplore.ieee.org/document/9068213/ |
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