On the Performance of IEEE 802.16 OFDMA System Under Different Frequency Reuse and Subcarrier Permutation Patterns

Jia, Huiling; Zhang, Zhaoyang; Yu, Guanding; Cheng, Peng; Li, Shiju

doi:10.1109/icc.2007.948

Cited by 39 publications

(26 citation statements)

References 6 publications

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“…The reusing cells are located at distance D = √ 3R ∼ = 1.732R. The reference user is located at the border of the inner cell and it is interfered by uplink users in the adjacent cell 6 . The two cells scenario corresponding to the outer ring is depicted in Fig.1.B.…”

Section: A Interference Scenariomentioning

confidence: 99%

Fractional Frequency Reuse Planning for WiMAX over Frequency Selective Channels

Giuliano

Loreti²,

Mazzenga³

et al. 2008

2008 International Wireless Communications and Mobile Computing Conference

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Fourth generation broadband wireless access systems based on OFDMA/OFDM techniques operate in pointto-multipoint (PMP) configuration so that conventional cellular planning methods can be used for network design. As an alternative planning method fractional frequency reuse (FFR) strategy has been recently proposed for OFDMA/OFDM cellular systems such as WiMAX. For what concerns the determination of the system outage prediction, planning procedures for multi-carrier systems are usually based on bit error rate curves as a function of the average signal-to-interference plus noise ratio (SINR). Such curves are obtained after simulating the entire transmitter-receiver chain including multipath channel. However these approaches do not explicitly evidence the role of the number of M sub-carriers allocated to each user and are computationally intensive. In order to avoid such inconveniences we express the outage probability as a function of the effective SINR which is a function of the M SINRs (one for each sub-carrier). Such function already includes the decoding effects thus avoiding the re-simulation of the decoder behavior. Furthermore, this approach allows to explicitly evidence the role on planning of the number of subcarriers allocated for one user. For evaluation purposes we apply the procedure in a simple two cell FFR interference scenario. It is shown that the number of sub-carriers can play a significant role in the entire planning process i.e. the reuse distance can be lowered at the expense of an increased number of sub-carriers to be allocated per block.

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Section: A Interference Scenariomentioning

confidence: 99%

Fractional Frequency Reuse Planning for WiMAX over Frequency Selective Channels

Giuliano

Loreti²,

Mazzenga³

et al. 2008

2008 International Wireless Communications and Mobile Computing Conference

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“…Our simulation-based performance study considers the total overhead induced by dynamic OFDMA onto all IEEE 802.11a layers and does not omit side-effects. Comparable full layer performance studies were only done for IEEE 802.16 [14,15] (where an OFDMA MAC and PHY is already standardized) but not for IEEE 802.11-based dynamic OFDMA systems.…”

Section: Introductionmentioning

confidence: 99%

Integrating Multiuser Dynamic OFDMA into IEEE 802.11 WLANs - LLC/MAC Extensions and System Performance

Valentin

Freitag

Karl

2008

2008 IEEE International Conference on Communications

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Multiuser dynamic OFDMA for the downlink has been extensively studied, specifically, in terms of fast close-tooptimal subcarrier allocation heuristics and the efficient representation of signaling information. Although these functions provide the fundament of dynamic OFDMA, a complete multiuser OFDMA system requires more functionality. Focusing on WLAN systems, we discuss such additional functionality required for enabling the IEEE 802.11 link and Medium Access Control (MAC) sublayer to leverage OFDMA advantages. We identify necessary extensions, study the resulting overhead, and introduce a lightweight design for a complete dynamic OFDMA IEEE 802.11a system. Studying its performance shows that with our lightweight integration dynamic OFDMA can improve IEEE 820.11a UDP throughput by up to 154% and UDP latency by up to 63% even if the full overhead is taken into account.

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“…In the scheme of FFR 16 , fractional frequency reuse factor (FFRF) can be achieved by tuning the area ratio of the inner area to the total cell. As for the performance of FFR 16 , the readers are directed to our former research in [5]. In the FFR 20 scheme, a virtual area partition scheme is introduced, and FFRF can be obtained by adjusting the parameter of signal strength ratio.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of IEEE 802.16e and IEEE 802.20 Systems under Different Frequency Reuse Schemes

Luo¹,

Zhang²,

Jia

et al. 2008

2008 IEEE 68th Vehicular Technology Conference

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IEEE 802.16e and 802.20 are emerging as two promising technologies for broadband wireless access systems. In order to improve capacity and coverage performance, both of them addressed a Fractional Frequency Reuse (FFR) scheme to combat co-channel interference in multi-cell deployment, which is referred to as FFR16 and FFR20 respectively in this paper. As for the scheme of FFR20, virtual area partition is proposed in this paper, and Fractional Frequency Reuse Factor (FFRF) is achieved by tuning the parameter of signal strength ratio. The optimal combination of resource allocation strategy and signal strength ratio is determined through simulation. In order to compare the performance of FFR16 and FFR20, three evaluation metrics are introduced, including average throughput, outage probability and spectrum efficiency. Simulation results show that outage probability is much lower under FFR20 scheme, which goes beyond the acceptable range when FFRF is smaller than 2.4. The resource utilization efficiencies of both are continuously increasing with regard to FFRF within range [2.4, 3]. Besides, FFR20 outperforms FFR16 under given conditions, in terms of average throughput and spectrum efficiency.

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On the Performance of IEEE 802.16 OFDMA System Under Different Frequency Reuse and Subcarrier Permutation Patterns

Cited by 39 publications

References 6 publications

Fractional Frequency Reuse Planning for WiMAX over Frequency Selective Channels

Fractional Frequency Reuse Planning for WiMAX over Frequency Selective Channels

Integrating Multiuser Dynamic OFDMA into IEEE 802.11 WLANs - LLC/MAC Extensions and System Performance

Performance Comparison of IEEE 802.16e and IEEE 802.20 Systems under Different Frequency Reuse Schemes

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