Interference Aware Scheduling for Soft Frequency Reuse

Doppler, Klaus; Wijting, Carl; Valkealahti, Kimmo

doi:10.1109/vetecs.2009.5073608

Cited by 37 publications

(23 citation statements)

References 6 publications

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“…Assuming that the BSs transmit to cell-interior users of the k th tier with power P k , then the BSs transmit to the cell-edge users with power β k P k , where β k > 1 is a transmit power control factor. Since using the method of increasing the transmit power to increase cell-edge users' SIR, SFR surely introduces more interference than strict FFR, but also gets greater spectral utilization [6] [8].…”

Section: A Fractional Frequency Reusementioning

confidence: 99%

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Analytical evaluation of fractional frequency reuse for MIMO heterogeneous cellular networks

Ohtsuki

2014

2014 IEEE Global Communications Conference

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To increase spatial frequency efficiency and transmit capacity, multiple-input multiple-output (MIMO) heterogeneous networks (HetNets) are extensively applied in modern cellular networks. Due to consisting of K-tiers of random basestations (BSs), MIMO HetNets certainly introduce cross-tier interference. For this problem, fractional frequency reuse (FFR), as an interference management technique, can mitigate effectively the impact of the interference. Recently, Poisson point process (PPP) is more and more used to model HetNets, because it can naturally capture the randomness of the BSs' locations. In this paper, we first develop a general downlink model based on PPP for MIMO HetNets utilizing FFR technique. This paper uses different independent PPP to model BSs' locations of each tier and considers different MIMO techniques. We derive tractable expressions of coverage probability of cell-edge user under both closed and open access cases and discuss the impact of the main parameters on the coverage probabilities.

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Section: A Fractional Frequency Reusementioning

confidence: 99%

“…For convenience of notation, we will SDMA β k = [8,8,8] SDMA β k = [16,16,16] Fig. 4. relation between β k and first tier cell-edge user coverage probability for SFR with closed access consider the first tier cell-edge user SIR.…”

Section: Open Access Coverage Probability Analysismentioning

confidence: 99%

Analytical evaluation of fractional frequency reuse for MIMO heterogeneous cellular networks

Ohtsuki

2014

2014 IEEE Global Communications Conference

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“…Since the resource allocation strategy of SFR has been extensively described in [7][8][9][10], next we will focus on the proposed edge bandwidth reuse algorithm and center bandwidth compensation algorithm. The explanations of these two algorithms are given in detail as following.…”

Section: Load Distribution Aware Soft Frequency Reuse Schemementioning

confidence: 99%

“…To protect the cell-edge users, cell-center users can only use a reduced power level for transmission. The most significant limitation of SFR is the strict bandwidth allocation to cell-edge users in each cell [8][9][10]. By restricting cell-edge users to the maximum one third of the entire bandwidth, the flexibility in frequency allocation can be greatly decreased resulting in lower spectrum efficiency to cell-edge users.…”

Section: Introductionmentioning

confidence: 99%

Load Distribution Aware Soft Frequency Reuse for Inter-Cell Interference Mitigation and Throughput Maximization in LTE Networks

Dutkiewicz

Huang

et al. 2011

2011 IEEE International Conference on Communications (ICC)

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This paper proposes a novel load distribution aware soft frequency reuse (LDA-SFR) scheme for inter-cell interference mitigation and performance optimization in next generation wireless networks. Our proposed scheme aims to provide a solution to effectively achieve inter-cell interference mitigation while maintaining high spectrum efficiency to all users in the cell. The proposed scheme consists of two novel algorithms: edge bandwidth reuse and centre bandwidth compensation. Using the edge bandwidth reuse algorithm, cell-edge users can take advantage of uneven traffic load and user distributions within each cell to expand their resource allocations. The center bandwidth compensation algorithm, on the other hand, provides a protection mechanism for cell-center users to avoid exhaustive edge bandwidth extension. Applying LDA-SFR to an LTE network and comparing its performance against that of existing soft frequency reuse (SFR) and adaptive soft frequency reuse (ASFR) schemes indicates that LDA-SFR is superior as it achieves fairness between cell-edge users and cell-center users in terms of average throughput improvement.

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“…Although the idea of enabling D2D communications as a means of relaying in cellular networks was proposed by some early works on ad hoc networks [9,10], the concept of allowing local D2D communications to (re)use cellular spectrum resources simultaneously with ongoing cellular traffic is relatively new [2,3,11,12]. Because the non-orthogonal resource sharing between the cellular and Full list of author information is available at the end of the article the D2D layers has the potential of the reuse gain, proximity gain and hop gain and at the same time increasing the resource utilization [13][14][15], D2D communications underlaying cellular networks has received considerable interest in the recent years.…”

Section: Introductionmentioning

confidence: 99%

A distributed power control and mode selection algorithm for D2D communications

Reider

Fodor

2012

J Wireless Com Network

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Device-to-device (D2D) communications underlaying a cellular infrastructure has recently been proposed as a means of increasing the resource utilization, improving the user throughput and extending the battery lifetime of user equipments. In this article we propose a new distributed power control algorithm that iteratively determines the signal-to-noise-and-interference-ratio (SINR) targets in a mixed cellular and D2D environment and allocates transmit powers such that the overall power consumption is minimized subject to a sum-rate constraint. The performance of the distributed power control algorithm is benchmarked with respect to the optimal SINR target setting that we obtain using the Augmented Lagrangian Penalty Function method. The proposed scheme shows consistently near optimum performance both in a single-input-multiple-output and a multiple-input-multiple-output setting. We also propose a joint power control and mode selection algorithm that requires single cell information only and clearly outperforms the classical cellular mode operation.

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Interference Aware Scheduling for Soft Frequency Reuse

Cited by 37 publications

References 6 publications

Analytical evaluation of fractional frequency reuse for MIMO heterogeneous cellular networks

Analytical evaluation of fractional frequency reuse for MIMO heterogeneous cellular networks

Load Distribution Aware Soft Frequency Reuse for Inter-Cell Interference Mitigation and Throughput Maximization in LTE Networks

A distributed power control and mode selection algorithm for D2D communications

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