Dynamic TDD Interference Mitigation by Using Soft Reconfiguration

Lin, Yi-Ting; Chao, Cheng-Chih; Wei, Hung‐Yu

doi:10.4108/eai.19-8-2015.2261182

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…Additionally, in order to make D-TDD feasible, some interference mitigation techniques have been proposed in literature, such as cell clustering [5], [6]. It was discussed in [6] a soft reconfiguration method based on cell clustering so as to allow cells in the same cluster to change dynamically the UL/DL configuration but inter-cluster interference still exists. Always in the same context, we propose in this paper a new approach of performance investigation in D-TDD including an interference mitigation scheme based on cell clustering.…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, performances of D-TDD enabled mmWave cellular networks were discussed in [4]. Additionally, in order to make D-TDD feasible, some interference mitigation techniques have been proposed in literature, such as cell clustering [5], [6]. It was discussed in [6] a soft reconfiguration method based on cell clustering so as to allow cells in the same cluster to change dynamically the UL/DL configuration but inter-cluster interference still exists.…”

Section: Introductionmentioning

confidence: 99%

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Interference Analysis in Dynamic TDD System Combined or not with Cell Clustering Scheme

Rachad

Nasri

Decreusefond

2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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Dynamic Time Division Duplex (TDD) has been introduced as a solution to deal with the uplink and downlink traffic asymmetry, mainly observed for dense heterogeneous network deployments. However, the use of this feature requires new interference mitigation schemes capable to handle two additional types of interferences between cells in opposite transmission cycle: downlink to uplink and uplink to downlink interferences. Among them, Cell clustering has been proposed as an efficient solution to minimize inter-cell interferences in opposite transmission directions and somehow responds to the requirements of enhanced Interference Mitigation and Traffic Adaptation (eIMTA) problem. This work is devoted to provide a new analytical approach to model inter-cell interferences and quantify performances of Dynamic TDD system in terms of SINR (Signal to Interferences plus Noise Ratio) distribution. Analytical system performance investigation concerns two scenarios: i) basic Dynamic TDD without any other feature and ii) Dynamic TDD with interference mitigation schemes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interference Analysis in Dynamic TDD System Combined or not with Cell Clustering Scheme

Rachad

Nasri

Decreusefond

2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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“…Likewise in [16], authors have provided a comparison between static and dynamic TDD in millimeter wave (mm-wave) cellular network, in terms of SINR distributions and mean rates, considering synchronized and unsynchronized access-backhaul. Additionally, in order to make D-TDD feasible, some interference mitigation techniques have been proposed in literature, such as cell clustering; see for instance [17], [18] and [10]. It was discussed in [18] a soft reconfiguration method based on cell clustering so as to allow cells in the same cluster to change dynamically the UL/DL configuration but intercluster interference still exists.…”

Section: B Related Workmentioning

confidence: 99%

“…Additionally, in order to make D-TDD feasible, some interference mitigation techniques have been proposed in literature, such as cell clustering; see for instance [17], [18] and [10]. It was discussed in [18] a soft reconfiguration method based on cell clustering so as to allow cells in the same cluster to change dynamically the UL/DL configuration but intercluster interference still exists. Also, several works have discussed radio resource management and optimization approaches to deal with cross slot interference generated by D-TDD [11].…”

Section: B Related Workmentioning

confidence: 99%

Dynamic-TDD Interference Tractability Approaches and Performance Analysis in Macro-Cell and Small-Cell Deployments

Rachad,

Nasri,

Decreusefond

2020

Preprint

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Meeting the continued growth in data traffic volume, Dynamic Time Division Duplex (D-TDD) has been introduced as a solution to deal with the uplink (UL) and downlink (DL) traffic asymmetry, mainly observed for dense heterogeneous network deployments, since it is based on instantaneous traffic estimation and provide more flexibility in resource assignment. However, the use of this feature requires new interference mitigation schemes capable to handle two additional types of interference between cells in opposite transmission direction: DL to UL and UL to DL interference. The aim of this work is to provide a complete analytical approach to model inter-cell interference in macro-cell and dense small-cell networks. We derive the explicit expressions of Interference to Signal Ratio (ISR) at each position of the network, in both DL and UL, to quantify the impact of each type of interference on the system performance. Also, we provide the explicit expressions of the coverage probability as functions of different system parameters by covering different scenarios. Finally, through system level simulations, we analyze the feasibility of D-TDD implementation in both deployments and we compare its performance to the static-TDD (S-TDD) configuration.

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“…In another work [11], we propose a mechanism which improves the performance from clustering by allowing the femtocells in the same cluster to choose different configuration according to their own traffic load. ElBamby et al propose a distributed mechanism to decide the configuration according to traffic load and interference [12].…”

Section: Introductionmentioning

confidence: 99%

Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game

Chao

Lee

Wei

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Since uplink (UL) and downlink (DL) traffic loads are time-variant in femtocells, it is essential to adopt dynamic time-division duplexing (TDD) to effectively adjust the uplink and downlink transmission resources. However, the cross-link interference between dynamic TDD femtocells decreases the throughput gain of dynamic TDD. In this paper, we propose an evolutionary game-based distributed approach to choose the UL-DL configuration in order to minimize interference and maximize the system throughput in a large-scale femtocell network. A multiple populations evolutionary game is formulated to model femtocells with different traffic loads. We prove that the evolutionarily stable strategy (ESS) of the considered multiple populations evolutionary game is the optimal configuration which maximizes the system throughput. Simulation results confirm the effectiveness of the proposed evolutionary game-based approach for system throughput optimization in femtocells employing dynamic TDD.

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Dynamic TDD Interference Mitigation by Using Soft Reconfiguration

Cited by 10 publications

References 9 publications

Interference Analysis in Dynamic TDD System Combined or not with Cell Clustering Scheme

Interference Analysis in Dynamic TDD System Combined or not with Cell Clustering Scheme

Dynamic-TDD Interference Tractability Approaches and Performance Analysis in Macro-Cell and Small-Cell Deployments

Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game

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