Self-organizing Dynamic Fractional Frequency Reuse on the uplink of OFDMA systems

Rengarajan, Balaji; Stolyar, Alexander L.; Viswanathan, Harish

doi:10.1109/ciss.2010.5464705

Cited by 36 publications

(21 citation statements)

References 6 publications

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“…In low coupling, FFR would only cause low spectral efficiency and not much gain compared with reuse 1. Additionally, since part of the spectrum is used with reuse of 3, spectral efficiency is low and the peak rate is less than that of reuse 1 [11] [12] [13] [14]. Another common ICIC method is Soft Frequency Reuse (SFR).…”

Section: Related Workmentioning

confidence: 99%

ICon: Interference concentration for uplink in multicell OFDMA networks

Bandari

Pottie

Frossard

2011

2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Abstract-In this work we propose a novel inter-cell interference coordination (ICIC) and resource allocation method. Our aim is to maximize the rate of the worst performing user in all cells. We solve the problem in two phases, inter-cell and intracell resource management: first we define an ICIC scheme called interference concentration (ICon) in order to manage resources across cells, then each cell independently performs resource allocation to its users while meeting the constraints imposed by ICon. Finally, we adapt the ICIC method in order to balance the performance achieved in neighboring cells. Differently than Soft Frequency Reuse (SFR), ICon assigns received interference power limits, or the Interference Power Profiles (IPPs) rather than transmit power limits. The IPP determines the interference level the cell tolerates on each band. The intuition behind this change is that the interference to a given cell can be concentrated on a small band, resulting in more efficient use of bandwidth. In the intracell resource management phase, each cell allocates power and sub-bands to its users given their location in the cell, maximizing the minimum rate such that the IPP of none of its neighboring cells is violated. In order to balance the performance across all cells we use gradient-like updates to IPPs of cells. Finally we simulate an LTE-like system and compare the performance of our method with reuse 1, static FFR and SFR with proportionally fair scheduling of users in each cell. Static ICon achieves 18% higher 5 percentile rate than reuse 1 which was the best of these methods. Adaptive ICon is found to converge almost immediately, and adds an additional 11% to this gain.

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Section: Related Workmentioning

confidence: 99%

ICon: Interference concentration for uplink in multicell OFDMA networks

Bandari

Pottie

Frossard

2011

2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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“…The interior/exterior demarcation is optimized in [6] [7]. The power mask over the system bandwidth is optimized in [8] and a self-organization bandwidth allocation jointly with power assignment algorithm is suggested in [9] [10]. However, the smallest resource unit considered in algorithms above is physical resource blocks(PRBs) and the complexity increases seriously as the number of system PRBs.…”

Section: Introductionmentioning

confidence: 98%

Adaptive Power Ratio Updating Algorithm in Soft Frequency Reuse Scheme

Chen

Zhao

Wang

2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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Soft fractional frequency reuse (SFR) is adopted as a main inter-cell interference coordination technique in the orthogonal frequency division multiplexing access(OFDMA) networks. In the paper, unlike the fixed power ratio configuration in other published papers, an adaptive power ratio updating in SFR scheme (APR-SFR) is explored. In each time slot, users measure the interference form other cells and report the signal to interference plus noise ratio to the associated cell. Then each base station updates the power ratio of SFR scheme adaptively and distributively based on the current interference situation to maximize the sum-rate of cell. The convergency characteristic of APR-SFR scheme is discussed and we prove APR-SFR is convergent with a proper updating ratio. Finally, we develop a LTE simulation platform with 7 cells to evaluate the proposed APR-SFR algorithm. The numerical results show that APR-SFR algorithm is flexible for different number of users and can get the better system performance than other algorithms.

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“…a combination of power control and resource allocation (RA) under some ICI coordination (ICIC) scheme. Some authors have pointed out the benefits of using an ICIC mechanism for the UL in a multi-cell system [2][3][4][5]. The results of these ICIC studies are mainly referenced to Fractional Frequency Reuse (FFR), which aims to reduce ICI by providing orthogonal frequency resources to cell-edge users.…”

Section: Introductionmentioning

confidence: 99%

Sector-based Radio Resource Management for SC-FDMA cellular systems

Lafuente-Martínez

Hernández-Solana

2011

2011 8th International Symposium on Wireless Communication Systems

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In this paper, we study how to improve the performance of an SC-FDMA cellular system by reusing frequency resources on a per-sector basis, in a tri-sectorized multi-cell scenario. We consider a typical cell-based Fractional Frequency Reuse (FFR) scheme as a reference, and we propose two novel sector-based Inter-Cell Interference Coordination (ICIC) schemes. Our simulations show that, in comparison to the cell-based proposals, our novel schemes succeed on increasing the supported traffic load, while guaranteeing the required level of Quality of Service (QoS) for real-time traffic.

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Self-organizing Dynamic Fractional Frequency Reuse on the uplink of OFDMA systems

Cited by 36 publications

References 6 publications

ICon: Interference concentration for uplink in multicell OFDMA networks

ICon: Interference concentration for uplink in multicell OFDMA networks

Adaptive Power Ratio Updating Algorithm in Soft Frequency Reuse Scheme

Sector-based Radio Resource Management for SC-FDMA cellular systems

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