Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO
Machine-type communications are emerging as a new paradigm for enabling a broad range of applications from the massive deployment of sensor devices to mission-critical services. To support massive machine-to-machine (M2M) communications with delay constraints in cellular networks, we design an effic...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7857734/ |
| _version_ | 1818619231078449152 |
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| author | Jiantao Yuan Hangguan Shan Aiping Huang Tony Q. S. Quek Yu-Dong Yao |
| author_facet | Jiantao Yuan Hangguan Shan Aiping Huang Tony Q. S. Quek Yu-Dong Yao |
| author_sort | Jiantao Yuan |
| collection | DOAJ |
| description | Machine-type communications are emerging as a new paradigm for enabling a broad range of applications from the massive deployment of sensor devices to mission-critical services. To support massive machine-to-machine (M2M) communications with delay constraints in cellular networks, we design an efficient random access and data transmission system known as distributed queueing random access-multiple-input multiple-output (DQRA-MIMO) data transmission system. This system has the advantages of both efficient collision resolution of DQRA protocol and the efficient data transmission of MIMO technology. To obtain higher throughput under delay constraint and limited time-frequency resources, we match the ability of collision resolution with the capability of MIMO transmission by optimally configuring system parameters. The closed-form expression of throughput is derived, which is a function of the total user equipments' traffic arrival rate, average packet number of each arrival, number of base station antennas, and number of access request (AR) slots. An optimization problem is formulated to maximize the throughput to obtain the optimal number of AR slots given a certain delay constraint for M2M traffic. Numerical and simulation results reveal that, for a given requirement of average delay, the proposed optimized DQRA-MIMO system, which dynamically adjusts time-frequency resource division to maximize throughput, can provide a higher throughput than that of a baseline approach. |
| first_indexed | 2024-12-16T17:34:11Z |
| format | Article |
| id | doaj.art-80da16dbb4a04bdaa1f5173213d77b11 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:34:11Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-80da16dbb4a04bdaa1f5173213d77b112022-12-21T22:22:51ZengIEEEIEEE Access2169-35362017-01-0152981299310.1109/ACCESS.2017.26706147857734Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMOJiantao Yuan0Hangguan Shan1https://orcid.org/0000-0001-6264-9858Aiping Huang2Tony Q. S. Quek3Yu-Dong Yao4College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaSingapore University of Technology and Design, SingaporeStevens Institute of Technology, Hoboken, NJ, USAMachine-type communications are emerging as a new paradigm for enabling a broad range of applications from the massive deployment of sensor devices to mission-critical services. To support massive machine-to-machine (M2M) communications with delay constraints in cellular networks, we design an efficient random access and data transmission system known as distributed queueing random access-multiple-input multiple-output (DQRA-MIMO) data transmission system. This system has the advantages of both efficient collision resolution of DQRA protocol and the efficient data transmission of MIMO technology. To obtain higher throughput under delay constraint and limited time-frequency resources, we match the ability of collision resolution with the capability of MIMO transmission by optimally configuring system parameters. The closed-form expression of throughput is derived, which is a function of the total user equipments' traffic arrival rate, average packet number of each arrival, number of base station antennas, and number of access request (AR) slots. An optimization problem is formulated to maximize the throughput to obtain the optimal number of AR slots given a certain delay constraint for M2M traffic. Numerical and simulation results reveal that, for a given requirement of average delay, the proposed optimized DQRA-MIMO system, which dynamically adjusts time-frequency resource division to maximize throughput, can provide a higher throughput than that of a baseline approach.https://ieeexplore.ieee.org/document/7857734/Machine-to-machine communicationsdistributed queueingrandom accessmultiple-input multiple-output (MIMO)collision resolution |
| spellingShingle | Jiantao Yuan Hangguan Shan Aiping Huang Tony Q. S. Quek Yu-Dong Yao Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO IEEE Access Machine-to-machine communications distributed queueing random access multiple-input multiple-output (MIMO) collision resolution |
| title | Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO |
| title_full | Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO |
| title_fullStr | Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO |
| title_full_unstemmed | Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO |
| title_short | Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO |
| title_sort | massive machine to machine communications in cellular network distributed queueing random access meets mimo |
| topic | Machine-to-machine communications distributed queueing random access multiple-input multiple-output (MIMO) collision resolution |
| url | https://ieeexplore.ieee.org/document/7857734/ |
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