Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN
Cloud radio access networks (CRAN) has become an excellent network architecture in the fifth-generation wireless communication systems, which can highly increase the capacity and coverage compared with conventional networks. However, in order to provide the best services, appropriate resource manage...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9187603/ |
| _version_ | 1829139867526758400 |
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| author | Nan Li Zhenjie Yao Yanhui Tu Yixin Chen |
| author_facet | Nan Li Zhenjie Yao Yanhui Tu Yixin Chen |
| author_sort | Nan Li |
| collection | DOAJ |
| description | Cloud radio access networks (CRAN) has become an excellent network architecture in the fifth-generation wireless communication systems, which can highly increase the capacity and coverage compared with conventional networks. However, in order to provide the best services, appropriate resource management must be applied. This article considers transmission scheduling of downlink transmission in an OFDMA-based Millimeter-Wave (mmWave) CRAN, where data transmission on each subcarrier (SC) can be used by different remote radio heads (RRHs). A joint optimization problem of user association, SC allocation, RRH allocation and power allocation is formulated to maximize the weighted sum-rate. To efficiently solve this joint optimization problem, we first divide it into two subproblems: 1) joint optimization allocation of user, RRH and SC for fixed power allocation, 2) power allocation for fixed allocation of user, RRH and SC. We propose a novel algorithm to tackle the joint optimization problem by solving these two subproblems alternately. The simulated results indicate that the proposed multi-RRH cooperative algorithm can improve the transmission performance in terms of the weighted-sum rate and power efficiency. Moreover, the proposed algorithm has low computational complexity, which ensures the feasibility of the proposed scheduling algorithm in practical systems. |
| first_indexed | 2024-12-14T19:43:17Z |
| format | Article |
| id | doaj.art-31326b374dad4d0e9dc72cfb1b0ce4ec |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T19:43:17Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-31326b374dad4d0e9dc72cfb1b0ce4ec2022-12-21T22:49:38ZengIEEEIEEE Access2169-35362020-01-01816403516404410.1109/ACCESS.2020.30223639187603Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRANNan Li0https://orcid.org/0000-0002-0575-371XZhenjie Yao1https://orcid.org/0000-0003-1027-637XYanhui Tu2Yixin Chen3Purple Mountain Laboratory: Networking, Communications, and Security, Nanjing, ChinaPurple Mountain Laboratory: Networking, Communications, and Security, Nanjing, ChinaPurple Mountain Laboratory: Networking, Communications, and Security, Nanjing, ChinaComputer Science and Engineering Department, Washington University in St. Louis, Saint Louis, MO, USACloud radio access networks (CRAN) has become an excellent network architecture in the fifth-generation wireless communication systems, which can highly increase the capacity and coverage compared with conventional networks. However, in order to provide the best services, appropriate resource management must be applied. This article considers transmission scheduling of downlink transmission in an OFDMA-based Millimeter-Wave (mmWave) CRAN, where data transmission on each subcarrier (SC) can be used by different remote radio heads (RRHs). A joint optimization problem of user association, SC allocation, RRH allocation and power allocation is formulated to maximize the weighted sum-rate. To efficiently solve this joint optimization problem, we first divide it into two subproblems: 1) joint optimization allocation of user, RRH and SC for fixed power allocation, 2) power allocation for fixed allocation of user, RRH and SC. We propose a novel algorithm to tackle the joint optimization problem by solving these two subproblems alternately. The simulated results indicate that the proposed multi-RRH cooperative algorithm can improve the transmission performance in terms of the weighted-sum rate and power efficiency. Moreover, the proposed algorithm has low computational complexity, which ensures the feasibility of the proposed scheduling algorithm in practical systems.https://ieeexplore.ieee.org/document/9187603/Resource allocationCRANmillimeter-waveOFDMAtransmission scheduling |
| spellingShingle | Nan Li Zhenjie Yao Yanhui Tu Yixin Chen Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN IEEE Access Resource allocation CRAN millimeter-wave OFDMA transmission scheduling |
| title | Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN |
| title_full | Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN |
| title_fullStr | Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN |
| title_full_unstemmed | Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN |
| title_short | Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN |
| title_sort | cooperative optimization for ofdma resource allocation in multi rrh millimeter wave cran |
| topic | Resource allocation CRAN millimeter-wave OFDMA transmission scheduling |
| url | https://ieeexplore.ieee.org/document/9187603/ |
| work_keys_str_mv | AT nanli cooperativeoptimizationforofdmaresourceallocationinmultirrhmillimeterwavecran AT zhenjieyao cooperativeoptimizationforofdmaresourceallocationinmultirrhmillimeterwavecran AT yanhuitu cooperativeoptimizationforofdmaresourceallocationinmultirrhmillimeterwavecran AT yixinchen cooperativeoptimizationforofdmaresourceallocationinmultirrhmillimeterwavecran |