Resource allocation for outage performance in heterogeneous networks: a matching game approach.

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Title: Resource allocation for outage performance in heterogeneous networks: a matching game approach.
Authors: Dai, Haibo1 hbdai@seu.edu.cn, Song, Kang2 sk@qdu.edu.cn, Li, Chunguo1 chunguoli@seu.edu.cn, Huang, Yongming1 huangym@seu.edu.cn, Yang, Luxi1 lxyang@seu.edu.cn
Source: Wireless Networks (10220038). Aug2018, Vol. 24 Issue 6, p1873-1883. 11p.
Subjects: Resource allocation, Matching games, Interference (Telecommunication), Wireless communications, Algorithms
Abstract: In heterogeneous cellular networks (HCNs), the deployed small cell base stations share the same spectrum resource with that of macro base station, which causes cross-tier interferences and the performance depreciation of the system. This paper investigates the downlink outage performance of HCNs and its resource allocation problem to mitigate interferences. Specifically, we first derive closed-form expressions of overall outage probability of the system. Then, the resource allocation problem is proposed to reduce the outage probability of HCNs. This problem is formulated as a matching game, and a stable matching is considered to be the solution. Finally, to address this matching problem, a distributed algorithm is proposed which can find a stable matching. Both analytical results and simulations show that the proposed algorithm improves the overall performance of HCNs. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:In heterogeneous cellular networks (HCNs), the deployed small cell base stations share the same spectrum resource with that of macro base station, which causes cross-tier interferences and the performance depreciation of the system. This paper investigates the downlink outage performance of HCNs and its resource allocation problem to mitigate interferences. Specifically, we first derive closed-form expressions of overall outage probability of the system. Then, the resource allocation problem is proposed to reduce the outage probability of HCNs. This problem is formulated as a matching game, and a stable matching is considered to be the solution. Finally, to address this matching problem, a distributed algorithm is proposed which can find a stable matching. Both analytical results and simulations show that the proposed algorithm improves the overall performance of HCNs. [ABSTRACT FROM AUTHOR]
ISSN:10220038
DOI:10.1007/s11276-016-1438-1