Cluster-based resource allocation scheme with QoS guarantee in ultra-dense networks
Ultra-dense networks (UDN) can provide extremely high throughput and data rate. However, there are severe interference due to dense and random deployment of femto base stations (FBSs). To mitigate interference and allocate network resource efficiently while ensuring quality of service (QoS) of user...
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| Vydáno v: | IET communications Ročník 12; číslo 7; s. 861 - 867 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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The Institution of Engineering and Technology
24.04.2018
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | Ultra-dense networks (UDN) can provide extremely high throughput and data rate. However, there are severe interference due to dense and random deployment of femto base stations (FBSs). To mitigate interference and allocate network resource efficiently while ensuring quality of service (QoS) of user equipments (UEs), a cluster-based resource allocation scheme for UDN is proposed in this paper. Two stages, clustering and resource allocation, are involved in the scheme. In clustering stage, a modified K-means clustering algorithm is advanced to divide FBSs into different disjoint clusters dynamically according to the density of FBSs. Thus the number of clusters can be adjusted flexibly to fit for the dynamic network topology. In resource allocation stage, a greedy-based compensatory resource allocation algorithm (GCRAA) is further proposed to maximize the throughput of UDN. Herein the orthogonal resource blocks (RBs) are initially assigned among the UEs with a greedy algorithm. In order to ensure the fairness and QoS of UEs, a compensatory resource allocation algorithm is further proposed to allocate the remaining RBs. The simulated results show that the proposed resource allocation scheme can mitigate the interference in UDN effectively, and improve the system throughput while ensuring the QoS for UEs. |
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| AbstractList | Ultra-dense networks (UDN) can provide extremely high throughput and data rate. However, there are severe interference due to dense and random deployment of femto base stations (FBSs). To mitigate interference and allocate network resource efficiently while ensuring quality of service (QoS) of user equipments (UEs), a cluster-based resource allocation scheme for UDN is proposed in this paper. Two stages, clustering and resource allocation, are involved in the scheme. In clustering stage, a modified K-means clustering algorithm is advanced to divide FBSs into different disjoint clusters dynamically according to the density of FBSs. Thus the number of clusters can be adjusted flexibly to fit for the dynamic network topology. In resource allocation stage, a greedy-based compensatory resource allocation algorithm (GCRAA) is further proposed to maximize the throughput of UDN. Herein the orthogonal resource blocks (RBs) are initially assigned among the UEs with a greedy algorithm. In order to ensure the fairness and QoS of UEs, a compensatory resource allocation algorithm is further proposed to allocate the remaining RBs. The simulated results show that the proposed resource allocation scheme can mitigate the interference in UDN effectively, and improve the system throughput while ensuring the QoS for UEs. |
| Author | Zhang, Jing Li, Wenchao |
| Author_xml | – sequence: 1 givenname: Wenchao surname: Li fullname: Li, Wenchao email: vencolee698@163.com organization: 1College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, People's Republic of China – sequence: 2 givenname: Jing surname: Zhang fullname: Zhang, Jing organization: 2Key Laboratory of Wireless Communications of Jiangsu Province, Nanjing 210003, People's Republic of China |
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| Keywords | femtobase station interference suppression greedy algorithms user equipment quality of service greedy-based compensatory resource allocation algorithm UE RB greedy search algorithm resource allocation pattern clustering QoS dynamic network topology orthogonal resource block femtocellular radio FBS ultradense network modified k-means clustering algorithm search problems UDN interference mitigation cluster-based resource allocation scheme |
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| Snippet | Ultra-dense networks (UDN) can provide extremely high throughput and data rate. However, there are severe interference due to dense and random deployment of... Ultra‐dense networks (UDN) can provide extremely high throughput and data rate. However, there are severe interference due to dense and random deployment of... |
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| SubjectTerms | cluster‐based resource allocation scheme dynamic network topology FBS femtobase station femtocellular radio greedy algorithms greedy search algorithm greedy‐based compensatory resource allocation algorithm interference mitigation interference suppression modified k‐means clustering algorithm orthogonal resource block pattern clustering QoS quality of service Research Article resource allocation search problems UDN ultradense network user equipment |
| Title | Cluster-based resource allocation scheme with QoS guarantee in ultra-dense networks |
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