A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks

Zheng, Jianchao; Cai, Yueming; Anpalagan, Alagan

doi:10.1109/lcomm.2014.2377156

Cited by 28 publications

(11 citation statements)

References 13 publications

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“…4. If small cell s i never initiates the PRB transfer process but the transfer will improve the system throughput, the fog device counts the PRB adjacent cells used and calculates the PRB value using the formula shown in (13). The PRB with the maximum value is prohibited from transferring.…”

Section: The Fog Device Counts the Small Cells With Newmentioning

confidence: 99%

“…The user equipment in ultra-dense small cells has a tidal effect; the authors of [12] proposed a mobility-aware uplink interference model for 5G heterogeneous networks to solve the uplink interference with time variation. The authors of [13] presented a completely distributed channel allocation algorithm based on game theory. Although these methods improved radio resource utilization, they also created larger system overheads.…”

Section: Introductionmentioning

confidence: 99%

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Radio resource coordination and scheduling scheme in ultra-dense cloud-based small cell networks

Chen

Zou

Tang

et al. 2018

J Wireless Com Network

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In a 5G ultra-dense network, dynamic network topology and traffic patterns lead to excessive system overhead and complex radio resource conflicts. The cloud radio access network and the fog computing have the advantages of high computation capabilities and low transmission delays. Therefore, by taking full advantage of these two characteristics, this study proposes a novel radio resource coordination and scheduling scheme in an ultra-dense cloud-based small cell network. Interference among small cells (or remote radio heads) can be avoided by implementing centralized cooperative processing in the base band unit pool in advance. Resource sharing in coordination and transfer depend on fog computing to relieve the overloaded cloud processing platform and reduce transmission delays, thereby maximizing resource utilization and minimizing system overhead when the network topology and number of users change dynamically. The simulation shows that the proposed scheme can increase the system throughput by 20% compared with the clustering-based algorithm; it can also increase system throughput by 33% compared with the graph coloring algorithm, decrease the signaling overhead by about 50%, and improve network's quality of service.

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Section: The Fog Device Counts the Small Cells With Newmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radio resource coordination and scheduling scheme in ultra-dense cloud-based small cell networks

Chen

Zou

Tang

et al. 2018

J Wireless Com Network

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“…Self-organized resource allocation constitutes an important approach for enabling interference coordination in SCNs. Most of the existing work in this direction focuses on channel selection [11]- [13] and power control schemes [14], [15]. In [11], a switched-based scheme for orthogonal channel selection is proposed for single-antenna overloaded SCNs.…”

Section: A Background and Related Workmentioning

confidence: 99%

“…Autonomous mechanisms for component carrier selection problem based on background interference matrices is considered in [12]. Gametheoretic approach for fully distributed channel selection are presented in [13], [23]. Joint allocation of channel and transmit powers is discussed in [14].…”

Section: A Background and Related Workmentioning

confidence: 99%

“…In particular, distributed approaches for generic self-organized resource allocation problems in SCNs have been proposed in [7], [8]. Recent approaches for interference coordination in SCNs mostly focus on time domain [9], [10], frequency domain [11]- [13], and power control techniques [14]- [17]. In addition, a number of papers focus on joint allocation of resources across multiple dimensions [18]- [22].…”

Section: Introductionmentioning

confidence: 99%

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Self-Organizing Algorithms for Interference Coordination in Small Cell Networks

Ahmed

Dowhuszko

Tirkkonen

2017

IEEE Trans. Veh. Technol.

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This paper discusses novel joint (intra-cell and inter-cell) resource allocation algorithms for self-organized interference coordination in multi-carrier multiple-input multipleoutput (MIMO) small cell networks (SCNs). The proposed algorithms enable interference coordination autonomously, over multiple degrees of freedom, such as base station transmit powers, transmit precoders, and user scheduling weights. A generic α-fair utility maximization framework is considered to analyze performance-fairness trade-off, and to quantify the gains achievable in interference-limited networks. The proposed scheme involves limited inter-base station signaling in the form of two step (power and precoder) pricing. Based on this decentralized coordination, autonomous power and precoder update decision rules are considered, leading to algorithms with different characteristics in terms of user data rates, signaling load, and convergence speed. Simulation results in a practical setting show that the proposed pricing-based self-organization can achieve up to 100% improvement in cell-edge data rates, when compared to baseline optimization strategies. Furthermore, the convergence of the proposed algorithms is also proved theoretically.Index Terms-Self-organizing networks, autonomous algorithms, interference coordination, resource allocation, multipleinput multiple-output, co-channel interference, small cell networks, network utility maximization.

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Survey of ICIC techniques in LTE networks under various mobile environment parameters

et al. 2015

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LTE networks' main challenge is to efficiently use the available spectrum, and to provide satisfying quality of service for mobile users. However, using the same bandwidth among adjacent cells leads to occurrence of Inter-cell Interference (ICI) especially at the cell-edge. Basic interference mitigation approaches consider bandwidth partitioning techniques between adjacent cells, such as frequency reuse of factor m schemes, to minimize cell-edge interference. Although SINR values are improved, such techniques lead to significant reduction in the maximum achievable data rate. Several improvements have been proposed to enhance the performance of frequency reuse schemes, where restrictions are made on resource blocks usage, power allocation, or both. Nevertheless, bandwidth partitioning methods still affect the maximum achievable throughput. In this proposal, we intend to perform a comprehensive survey on Inter-Cell Interference Coordination (ICIC) techniques, and we study their performance while putting into consideration various design parameters. This study is implemented throughout intensive system level simulations under several parameters such as different network loads, radio conditions, and user distributions. Simulation results show the advantages and the limitations of each technique compared to frequency reuse-1 model. Thus, we are able to identify the most suitable ICIC technique for each network scenario.

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A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks

Cited by 28 publications

References 13 publications

Radio resource coordination and scheduling scheme in ultra-dense cloud-based small cell networks

Radio resource coordination and scheduling scheme in ultra-dense cloud-based small cell networks

Self-Organizing Algorithms for Interference Coordination in Small Cell Networks

Survey of ICIC techniques in LTE networks under various mobile environment parameters

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