Improved reuse partitioning and power control for downlink multi-cell OFDMA systems

Hamouda, Soumaya; Tabbane, Sami; Godlewski, Philippe

doi:10.1145/1189186.1189188

Cited by 19 publications

(11 citation statements)

References 12 publications

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“…In [16], the authors jointly optimize the subcarrier assignment and power allocation for an OFDMA FFRS, in a way that all users' rate requirements are satisfied while transmit power is minimized, but only for a one-dimensional two-cell scenario. The authors in [17] propose a centralized OFDMA reuse partitioning algorithm to minimize the percentage of unsatisfied users under rate and transmit power constraints, which adapts the reuse factor of cell-edge users according to their rate requirements. However, its centralized nature may pose signaling overhead and delay issues in large network deployments.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Liu¹,

Chu

Zhang

2012

IEEE Trans. Commun.

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In order to mitigate inter-cell interference and cope with network, traffic, and channel fluctuations in space and time, Orthogonal Frequency Division Multiple Access (OFDMA) based cellular networks should be equipped with dynamic frequency and power allocation algorithms. Although dynamic frequency and power allocation has been well studied separately, very few results have been reported on dynamic joint frequency and power allocation. In this paper, we propose a dynamic frequency and power allocation algorithm for the DownLink (DL) of OFDMAbased cellular networks, where frequency resources are allocated to cells by a central broker to minimize long-term cell-edge inter-cell interference. Moreover, each cell independently assigns its available frequency resources and power to users in a way that its total DL transmission power is minimized while meeting the throughput demands of its users. Simulation results show that the proposed algorithm provides significant improvements in network outage performance, capacity, and throughput as compared with existing schemes.

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Section: Introductionmentioning

confidence: 99%

Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Liu¹,

Chu

Zhang

2012

IEEE Trans. Commun.

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“…The information for each base station is made available to other base stations through a wired network between their computers. This setup is similar to those used in [2], [21].…”

Section: Integrated Channel Assignment and Power Controlmentioning

confidence: 99%

“…The power levels calculated by the ILP only affect transmissions on the channel assigned to the new call. Constraint (7) is based on equation (2), and specifies that the desired signal level for communication using channel l, in a cell i must be at least times the total co-channel interference plus the thermal noise power in the cell.…”

Section: Ilp Formulationmentioning

confidence: 99%

Optimal Channel Allocation with Dynamic Power Control in Cellular Networks

Wu¹,

Jaekel²,

Bari³

2011

IJCNC

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“…The first level is conducted based on perfect and predetermined knowledge of the SINR for all MSs on all subchannels. In [8], a similar approach was adopted, with some special treatment on ICI. Pietrzyk and Janssen [9], [10] proposed heuristic algorithms for their formulated problems based on SINR, with some quality-of-service (QoS) consideration.…”

mentioning

confidence: 99%

Multicell OFDMA Downlink Resource Allocation Using a Graphic Framework

Chang

Zhang

et al. 2009

IEEE Trans. Veh. Technol.

157

128

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Abstract-A novel practical low-complexity multicell orthogonal frequency-division multiple access (OFDMA) downlink channel-assignment method that uses a graphic framework is proposed in this paper. Our solution consists of two phases: 1) a coarse-scale intercell interference (ICI) management scheme and 2) a fine-scale channel-aware resource-allocation scheme. In the first phase, state-of-the-art ICI management techniques such as ICI coordination (ICIC) and base-station cooperation (BSC) are incorporated in our framework. In particular, the ICI information is acquired through inference from the diversity set of mobile stations and is presented by an interference graph. Then, ICIC or BSC is mapped to the MAX k-CUT problem in graph theory and is solved in the first phase. In the second phase, channel assignment is accomplished by taking instantaneous channel conditions into account. Heuristic algorithms are proposed to efficiently solve both phases of the problem. Extensive simulation is conducted for various practical scenarios to demonstrate the superior performance of the proposed solution compared with the conventional OFDMA allocation scheme. The proposed scheme can be used in next-generation cellular systems such as the 3GPP Long-Term Evolution and IEEE 802.16m.

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Improved reuse partitioning and power control for downlink multi-cell OFDMA systems

Cited by 19 publications

References 12 publications

Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Optimal Channel Allocation with Dynamic Power Control in Cellular Networks

Multicell OFDMA Downlink Resource Allocation Using a Graphic Framework

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