Adaptive Resource Balanced Allocation Algorithm for Inter-Cell Interference

Jung-Shyr Wu, Yu-Shun Liu, Zhi-Kai Zhan

Abstract To resolve issue of poor mobile communication signaltransmission, one of the solutions is to deploy small base stations. However, overly dense deployment results in interference between adjacent frequency bands, which subsequently causes Inter-Cell interference. Furthermore, users in the base station coverage edge can be interfered by other base stations more easily. The traditional Inter-Cell Interference Coordination (ICIC) mechanism lets adjacent base stations use different frequency bands. It reduces interference among small base stations in densely deployed areas efficiently, and is simple to implement, yet not flexible enough. This paper proposes Adaptive Resource Balanced Allocation Algorithm (ARBA), which takes into account the Quality of Service (QoS) and Channel Quality Indicator (CQI) and calculates the weight of allocating RB according to how many users each base station serves and the current Guaranteed Bit Rate (GBR) to Non-GBR ratio of the base stations. The algorithm allocates Resource Blocks (RBs) dynamically to raise system throughput and userâ€™s satisfaction level. Base stations which is short of resource can hence obtain minimum resource. The use of resource becomes optimized and fairer. Keywords:ICIC, Resource Allocation, QoS, CQI

Title:	Adaptive Resource Balanced Allocation Algorithm for Inter-Cell Interference
Author Name:	Jung-Shyr Wu, Yu-Shun Liu, Zhi-Kai Zhan
Abstract:	Abstract To resolve issue of poor mobile communication signaltransmission, one of the solutions is to deploy small base stations. However, overly dense deployment results in interference between adjacent frequency bands, which subsequently causes Inter-Cell interference. Furthermore, users in the base station coverage edge can be interfered by other base stations more easily. The traditional Inter-Cell Interference Coordination (ICIC) mechanism lets adjacent base stations use different frequency bands. It reduces interference among small base stations in densely deployed areas efficiently, and is simple to implement, yet not flexible enough. This paper proposes Adaptive Resource Balanced Allocation Algorithm (ARBA), which takes into account the Quality of Service (QoS) and Channel Quality Indicator (CQI) and calculates the weight of allocating RB according to how many users each base station serves and the current Guaranteed Bit Rate (GBR) to Non-GBR ratio of the base stations. The algorithm allocates Resource Blocks (RBs) dynamically to raise system throughput and userâ€™s satisfaction level. Base stations which is short of resource can hence obtain minimum resource. The use of resource becomes optimized and fairer. Keywords:ICIC, Resource Allocation, QoS, CQI
Cite this article:	Jung-Shyr Wu, Yu-Shun Liu, Zhi-Kai Zhan , " Adaptive Resource Balanced Allocation Algorithm for Inter-Cell Interference " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 6, November - December 2016 , pp. 035-048 , ISSN 2278-6856.
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