Graph-Based Dynamic Frequency Reuse in Femtocell Networks

Uygungelen, Serkan; Auer, Gunther; Bharucha, Zubin

doi:10.1109/vetecs.2011.5956438

Cited by 93 publications

(77 citation statements)

References 11 publications

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“…The coverage areas of femtocells may overlap with one another in the deployment. We arrange a certain number of femtocells which were 10,20,30,40,50,60,70,80,90, and 100 for each simulation, where the average numbers of neighbors are 1.40, 4.10, 4.80, 6.30, 7.08, 7.69, 8.49, 9.63, 10.44, and 11.88, respectively. All femtocells are controlled by a FMS in charge of allocating resources.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Tan et al [9] presented GC-DSA as a graph coloring based dynamic subband allocation technique to avoid downlink interference. Uygungelen et al [10] also developed GB-DFR as a resource allocation method based on graph coloring. With graph coloring algorithms, the assignment of resources to a femtocell is restricted to a determined color; therefore, the resource efficiency is limited.…”

Section: Related Workmentioning

confidence: 99%

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Resource Block Assignment for Interference Avoidance in Femtocell Networks

Liang

Chung

et al. 2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-In this paper, we investigate resource block assignment in femtocell networks. A resource block assignment algorithm is considered to avoid co-channel intercell interference and ensure service quality for femtocell networks with dense and random femto deployments. We first formulate the optimization problem as the integer linear programming (ILP) on resource block assignment. The goal of the optimization problem is to maximize the overall utilization of resource blocks with quality of service (QoS) constraints. We propose an efficient and simple algorithm termed interference-aware resource block assignment (IARBA). By considering conditions of resource blocks, the proposed approach achieves better resource block efficiency and assignment within QoS requirements. Our analytical and simulation results show that IARBA not only provides interferencefree resource block assignment but also outperforms existing schemes in terms of average throughput with comparable complexities.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Resource Block Assignment for Interference Avoidance in Femtocell Networks

Liang

Chung

et al. 2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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“…Then, in order to improve the system spectrum efficiency, it attempts to assign more carriers of least interference by exchanging the measurement results among neighboring femtocells. In [23] the femtocell system controller per macrocell obtains all the necessary knowledge of femtocell system configuration and performs the necessary computations. To mitigate interference, it dynamically allocates frequency channels among femtocells and macrocells using the graph coloring algorithm.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation with QoS Supporting in Macro-Femtocell Networks

Lee

Lee²

2015

IJMUE

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“…For further improving the spectrum utilization, SFR allow cell-center users to use both cell-center bandwidth and cell-edge bandwidth, just with less priority than cell-edge users. Recent research also develops some adaptive SFR schemes [25], [26] and advanced FFR schemes by utilizing advanced techniques such as network MIMO [29], graph theory [27], [28] and convex optimization [30], [31] to more effectively avoid interference and attain a higher spectrum efficiency. In all cases, the performance of the cell-edge users remains the main challenge.…”

mentioning

confidence: 99%

Topological Interference Management for Hexagonal Cellular Networks

Gao

Wang

Jafar

2015

IEEE Trans. Wireless Commun.

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Abstract-We consider the topological interference management problem for a downlink hexagonal cellular network, where the channel state information at the transmitters is limited to just the network topology. Recent work by Jafar showed that if interference is limited to only near the cell boundary, then, an aligned frequency reuse pattern achieves the optimal value of 6/7 degrees of freedom (DoF) per cell, as opposed to the conventional frequency reuse baseline of 1/3 DoF per cell. We generalize the setting to include interference from multiple layers of adjacent cells and characterize how the gains of the optimal solution over basic frequency reuse diminish with increasing number of interference layers. Next, we focus on single-layer interference and explore the sensitivity of the idealized assumptions behind the connectivity model of Jafar, which achieves higher DoF but only at the cost of a higher effective noise floor than the baseline, and under idealized placements of users. A modified connectivity model that operates at a comparable noise-floor to the baseline is then studied, and its DoF are shown to be bounded above by 6/11 and below by 1/2. Through numerical simulations, we compare the solutions that achieve 6/7, 1/2, and 1/3 DoF per cell and find that, while both the 6/7 and the 1/2 DoF solutions beat the baseline 1/3 figure, between them, the 1/2 DoF aligned frequency reuse pattern is more robust for small cell networks particularly for random users' distribution on the cell boundaries.Index Terms-Hexagonal cellular network, degree of freedom, aligned frequency reuse, topological interference management.

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Graph-Based Dynamic Frequency Reuse in Femtocell Networks

Cited by 93 publications

References 11 publications

Resource Block Assignment for Interference Avoidance in Femtocell Networks

Resource Block Assignment for Interference Avoidance in Femtocell Networks

Resource Allocation with QoS Supporting in Macro-Femtocell Networks

Topological Interference Management for Hexagonal Cellular Networks

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