Inter-cell interference coordination through adaptive soft frequency reuse in LTE networks

Qian, Min; Hardjawana, Wibowo; Li, Yonghui; Vucetic, Branka; Shi, Jinglin; Yang, Xiao

doi:10.1109/wcnc.2012.6214041

Cited by 69 publications

(36 citation statements)

References 12 publications

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“…Therefore, inter-cell interference (ICI) has been studied previously to overcome the problems of poor QoS and low throughput of the cell-edge users [10,11]. The authors consider the soft frequency reuse (SFR) technique, which is a form of inter-cell interference coordination (ICIC) for LTE systems in [12][13][14]. A decentralized SFR scheduling algorithm with low complexity is proposed in [12], which incorporates user classification and balance fairness and throughput among all users.…”

Section: Related Workmentioning

confidence: 99%

“…High power frequency bands are allocated to the cell edge users and low power bands are allocated to the cell center users. In [14], an adaptive SFR is considered by altering the transmit power and the number of major subcarriers for individual cells based on the traffic load. This method decentralizes the resource allocation decision by sharing the subcarrier, transmit power and rate information with the neighboring cells.…”

Section: Related Workmentioning

confidence: 99%

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Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

et al. 2017

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Long Term Evolution (LTE) is the prominent technology in Fourth Generation (4G) communication standards, which provides higher throughput and better Quality of Service (QoS) to all users. However, users in the cell-edge area are receiving comparatively low QoS due to the distance from eNodeB (eNB) and bad channel conditions. The Conventional Modified Largest Weighted Delay First (MLWDF) algorithm is unable to resolve this issue, as it does not consider the location of the user. This paper proposes an extended MLWDF (EMLWDF) downlink scheduling algorithm to provide better services to the cell-edge user as well as to the cell-center user. The proposed algorithm divides the eNB cell area into inner and outer regions. It includes the distance of the user from attached eNB, received Signal to Interference plus Noise Ratio (SINR) and error probability into the original algorithm. The simulated results are compared with other well-known algorithms and the comparison shows that the proposed algorithm enhances overall 56.23% of cell-edge user throughput and significantly improves the average user throughput, fairness index, and spectral efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

et al. 2017

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“…In the method, a protected band is defined within the overall system bandwidth, which is exclusively used by only pico BSs, in order to alleviate the macro-to-pico interference [1-3, 8, 9]. In the remaining frequency band, which is called the non-protected band in this paper, we employ fractional frequency reuse (FFR) at the macro BSs so that the macro-to-macro ICIC is achieved [10][11][12][13][14]. Furthermore, in [15], the bandwidth allocation to the protected band and the transmission power of the macro BSs are jointly and adaptively controlled from the viewpoint of proportional fairness (PF) [16,17].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

Sho

Higuchi

2017

Journal of Signal Processing

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We evaluate our previously reported joint power and frequency-domain inter-cell interference coordination (ICIC) method for heterogeneous networks where low transmissionpower pico base stations (BSs) overlay onto a high transmission-power macro BS. In the previously reported method, to protect users connected to a pico BS from interference from a high-power macro BS, we define a protected band, which is exclusively used by only pico BSs. In the remaining non-protected band, we employ soft fractional frequency reuse (SFR) at the macro BSs so that macro-tomacro ICIC is achieved. With this frequency usage, we employ adaptive transmission power control for the nonprotected band at the macro BS and simultaneously control the bandwidth allocation to the protected band from the viewpoint of proportional fairness (PF). The previously reported method is achieved with very limited information exchange between BSs. The transmission power control is a decentralized approach. Thus, in this method, we use a cost function in the objective function to lower the transmission power of the macro BSs so that the interference to the other BSs is considered. In our previous investigation, we used different values of the cost for different system conditions. In this paper, we use the same value of the cost for all evaluated conditions to obtain more realistic results. Computer simulation results show in detail the effectiveness of our method compared with conventional approaches under various system conditions.

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“…Dynamic SFR approaches were illustrated in [11][12][13][14]. However, there are no works about joint resource allocation for the SFR, except for the method proposed by Qian in [15,16], where [16] is the improvement of [15]. In this paper, we put forward an improved dynamic joint resource allocation algorithm based on SFR, referred to as DJRA.…”

Section: Introductionmentioning

confidence: 99%

An Improved Dynamic Joint Resource Allocation Algorithm Based on SFR

Diao

2016

Algorithms

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Inter-cell interference (ICI) is the main factor affecting system capacity and spectral efficiency. Effective spectrum resource management is an important and challenging issue for the design of wireless communication systems. The soft frequency reuse (SFR) is regarded as an interesting approach to significantly eliminate ICI. However, the allocation of resource is fixed prior to system deployment in static SFR. To overcome this drawback, this paper adopts a distributed method and proposes an improved dynamic joint resource allocation algorithm (DJRA). The improved scheme adaptively adjusts resource allocation based on the real-time user distribution. DJRA first detects the edge-user distribution vector to determine the optimal scheme, which guarantees that all the users have available resources and the number of iterations is reduced. Then, the DJRA maximizes the throughput for each cell via optimizing resource and power allocation. Due to further eliminate interference, the sector partition method is used in the center region and in view of fairness among users, the novel approach adds the proportional fair algorithm at the end of DJRA. Simulation results show that the proposed algorithm outperforms previous approaches for improving the system capacity and cell edge user performance.

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Inter-cell interference coordination through adaptive soft frequency reuse in LTE networks

Cited by 69 publications

References 12 publications

Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

An Improved Dynamic Joint Resource Allocation Algorithm Based on SFR

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