The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Teng Joon Lim - One of the best experts on this subject based on the ideXlab platform.
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network dimensioning qoe maximization and power control for multi tier machine Type Communications
IEEE Transactions on Communications, 2019Co-Authors: Dong Han, Utku Tefek, Hlaing Minn, Teng Joon LimAbstract:For a radio resource-limited multi-tier machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier (Type) and guaranteeing fairness among nodes is always a challenge. In this paper, we study the network dimensioning and radio resource partitioning for the uplink of an MTC network with the signal-to-interference ratio-based clustering and relaying, where the MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Specifically, under transmission outage probability constraints, we investigate the trade-off between network utility (in terms of transmission capacity and revenue) and resource allocation fairness. With both outage probability constraints and minimum MTCD density constraints, we propose approaches to maximize the weighted sum of quality of experience of different tiers of MTCDs. Furthermore, a transmit power control strategy for MTCG-to-BS link is proposed to achieve a constant data rate.
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network dimensioning and radio resource management for multi tier machine Type Communications
Global Communications Conference, 2017Co-Authors: Dong Han, Utku Tefek, Teng Joon Lim, Hlaing MinnAbstract:For a radio resource limited multi-tier Machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier and guaranteeing fairness among nodes is always a challenge. In this paper, we propose three approaches for network dimensioning and radio resource partitioning for the uplink of an MTC network with signal-to-interference ratio (SIR)-based clustering and relaying, where MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Assuming that each tier has a different outage probability constraint, our first resource allocation method achieves maximum sum network capacity, while the other two methods achieve suboptimal sum network capacity with higher degrees of fairness. The proposed methods are also applicable when the objective is the network operator's total revenue instead of sum network capacity.
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relaying and radio resource partitioning for machine Type Communications in cellular networks
IEEE Transactions on Wireless Communications, 2017Co-Authors: Utku Tefek, Teng Joon LimAbstract:To accommodate massive access for machine-Type Communication (MTC) in cellular networks, we propose two single-hop relaying schemes exclusively designed for the MTC: signal-to-interference ratio-based relaying and location-based relaying. The relay nodes capture one or more MTC device (MTCD) transmissions and forward them to the base station (BS), thus reducing the signaling overhead in the cellular network. To efficiently use the spectrum, MTCDs make concurrent transmissions, and therefore create interference with each other. Unlike related work assuming known interference values for each link, we use stochastic geometry to characterize the received signal and interference powers. We derive the outage probability expressions and analytically calculate the maximum density of MTCDs that can be supported under an outage constraint. Moreover, the optimal partitioning of spectrum resources into the MTCD-to-relay, and relay-to-BS links, for maximum transmission capacity is presented.
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clustering and radio resource partitioning for machine Type Communications in cellular networks
Wireless Communications and Networking Conference, 2016Co-Authors: Utku Tefek, Teng Joon LimAbstract:To accommodate massive access for machine-Type Communication (MTC) in cellular networks, we propose a signal-to-interference ratio based clustering for the MTC. The cluster heads operate as single hop relays between successfully decoded MTC devices (MTCDs) and the base station (BS), reducing the signaling overhead. MTCDs randomly select channels to transmit on, and therefore create interference to each other. Unlike related work assuming known interference values for each link, we use stochastic geometry to characterize the received signal and interference powers. Given limited spectrum resources for MTC, we derive the outage probability expression and analytically calculate the maximum density of MTCDs that can be supported under an outage constraint. Moreover, the optimal partitioning of spectrum resources into the MTCD-to-cluster head links and relay links for maximum transmission capacity is presented.
Utku Tefek - One of the best experts on this subject based on the ideXlab platform.
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network dimensioning qoe maximization and power control for multi tier machine Type Communications
IEEE Transactions on Communications, 2019Co-Authors: Dong Han, Utku Tefek, Hlaing Minn, Teng Joon LimAbstract:For a radio resource-limited multi-tier machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier (Type) and guaranteeing fairness among nodes is always a challenge. In this paper, we study the network dimensioning and radio resource partitioning for the uplink of an MTC network with the signal-to-interference ratio-based clustering and relaying, where the MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Specifically, under transmission outage probability constraints, we investigate the trade-off between network utility (in terms of transmission capacity and revenue) and resource allocation fairness. With both outage probability constraints and minimum MTCD density constraints, we propose approaches to maximize the weighted sum of quality of experience of different tiers of MTCDs. Furthermore, a transmit power control strategy for MTCG-to-BS link is proposed to achieve a constant data rate.
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network dimensioning and radio resource management for multi tier machine Type Communications
Global Communications Conference, 2017Co-Authors: Dong Han, Utku Tefek, Teng Joon Lim, Hlaing MinnAbstract:For a radio resource limited multi-tier Machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier and guaranteeing fairness among nodes is always a challenge. In this paper, we propose three approaches for network dimensioning and radio resource partitioning for the uplink of an MTC network with signal-to-interference ratio (SIR)-based clustering and relaying, where MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Assuming that each tier has a different outage probability constraint, our first resource allocation method achieves maximum sum network capacity, while the other two methods achieve suboptimal sum network capacity with higher degrees of fairness. The proposed methods are also applicable when the objective is the network operator's total revenue instead of sum network capacity.
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relaying and radio resource partitioning for machine Type Communications in cellular networks
IEEE Transactions on Wireless Communications, 2017Co-Authors: Utku Tefek, Teng Joon LimAbstract:To accommodate massive access for machine-Type Communication (MTC) in cellular networks, we propose two single-hop relaying schemes exclusively designed for the MTC: signal-to-interference ratio-based relaying and location-based relaying. The relay nodes capture one or more MTC device (MTCD) transmissions and forward them to the base station (BS), thus reducing the signaling overhead in the cellular network. To efficiently use the spectrum, MTCDs make concurrent transmissions, and therefore create interference with each other. Unlike related work assuming known interference values for each link, we use stochastic geometry to characterize the received signal and interference powers. We derive the outage probability expressions and analytically calculate the maximum density of MTCDs that can be supported under an outage constraint. Moreover, the optimal partitioning of spectrum resources into the MTCD-to-relay, and relay-to-BS links, for maximum transmission capacity is presented.
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clustering and radio resource partitioning for machine Type Communications in cellular networks
Wireless Communications and Networking Conference, 2016Co-Authors: Utku Tefek, Teng Joon LimAbstract:To accommodate massive access for machine-Type Communication (MTC) in cellular networks, we propose a signal-to-interference ratio based clustering for the MTC. The cluster heads operate as single hop relays between successfully decoded MTC devices (MTCDs) and the base station (BS), reducing the signaling overhead. MTCDs randomly select channels to transmit on, and therefore create interference to each other. Unlike related work assuming known interference values for each link, we use stochastic geometry to characterize the received signal and interference powers. Given limited spectrum resources for MTC, we derive the outage probability expression and analytically calculate the maximum density of MTCDs that can be supported under an outage constraint. Moreover, the optimal partitioning of spectrum resources into the MTCD-to-cluster head links and relay links for maximum transmission capacity is presented.
Halim Yanikomeroglu - One of the best experts on this subject based on the ideXlab platform.
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massive machine Type Communication with data aggregation and resource scheduling
IEEE Transactions on Communications, 2017Co-Authors: Jing Guo, Xiangyun Zhou, Salman Durrani, Halim YanikomerogluAbstract:To enable massive machine Type Communication (mMTC), data aggregation is a promising approach to reduce the congestion caused by a massive number of machine Type devices (MTDs). In this paper, we consider a two-phase cellular-based mMTC network, where MTDs transmit to aggregators (i.e., aggregation phase) and the aggregated data is then relayed to base stations (i.e., relaying phase). Due to the limited resources, the aggregators not only aggregate data, but also schedule resources among MTDs. We consider two scheduling schemes: random resource scheduling (RRS) and channel-aware resource scheduling (CRS). By leveraging the stochastic geometry, we present a tractable analytical framework to investigate the signal-to-interference ratio (SIR) for each phase, thereby computing the MTD success probability, the average number of successful MTDs and probability of successful channel utilization, which are the key metrics characterizing the overall mMTC performance. Our numerical results show that, although the CRS outperforms the RRS in terms of SIR at the aggregation phase, the simpler RRS has almost the same performance as the CRS for most of the cases with regards to the overall mMTC performance. Furthermore, the provision of more resources at the aggregation phase is not always beneficial to the mMTC performance.
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Massive Machine Type Communication with Data Aggregation and Resource Scheduling
IEEE Transactions on Communications, 2017Co-Authors: Jing Guo, Xiangyun Zhou, Salman Durrani, Halim YanikomerogluAbstract:To enable massive machine Type Communication (mMTC), data aggregation is a promising approach to reduce the congestion caused by a massive number of machine Type devices (MTDs). In this work, we consider a two-phase cellular-based mMTC network where MTDs transmit to aggregators (i.e., aggregation phase) and the aggregated data is then relayed to base stations (i.e., relaying phase). Due to the limited resources, the aggregators not only aggregate data, but also schedule resources among MTDs. We consider two scheduling schemes: random resource scheduling (RRS) and channel-aware resource scheduling (CRS). By leveraging the stochastic geometry, we present a tractable analytical framework to investigate the signal-to-interference ratio (SIR) for each phase, thereby computing the MTD success probability, the average number of successful MTDs and probability of successful channel utilization, which are the key metrics characterizing the overall mMTC performance. Our numerical results show that, although the CRS outperforms the RRS in terms of SIR at the aggregation phase, the simpler RRS has almost the same performance as the CRS for most cases with regards to the overall mMTC performance. Furthermore, the provision of more resources at the aggregation phase is not always beneficial to the mMTC performance.
Dong Han - One of the best experts on this subject based on the ideXlab platform.
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network dimensioning qoe maximization and power control for multi tier machine Type Communications
IEEE Transactions on Communications, 2019Co-Authors: Dong Han, Utku Tefek, Hlaing Minn, Teng Joon LimAbstract:For a radio resource-limited multi-tier machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier (Type) and guaranteeing fairness among nodes is always a challenge. In this paper, we study the network dimensioning and radio resource partitioning for the uplink of an MTC network with the signal-to-interference ratio-based clustering and relaying, where the MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Specifically, under transmission outage probability constraints, we investigate the trade-off between network utility (in terms of transmission capacity and revenue) and resource allocation fairness. With both outage probability constraints and minimum MTCD density constraints, we propose approaches to maximize the weighted sum of quality of experience of different tiers of MTCDs. Furthermore, a transmit power control strategy for MTCG-to-BS link is proposed to achieve a constant data rate.
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network dimensioning and radio resource management for multi tier machine Type Communications
Global Communications Conference, 2017Co-Authors: Dong Han, Utku Tefek, Teng Joon Lim, Hlaing MinnAbstract:For a radio resource limited multi-tier Machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier and guaranteeing fairness among nodes is always a challenge. In this paper, we propose three approaches for network dimensioning and radio resource partitioning for the uplink of an MTC network with signal-to-interference ratio (SIR)-based clustering and relaying, where MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Assuming that each tier has a different outage probability constraint, our first resource allocation method achieves maximum sum network capacity, while the other two methods achieve suboptimal sum network capacity with higher degrees of fairness. The proposed methods are also applicable when the objective is the network operator's total revenue instead of sum network capacity.
Hlaing Minn - One of the best experts on this subject based on the ideXlab platform.
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network dimensioning qoe maximization and power control for multi tier machine Type Communications
IEEE Transactions on Communications, 2019Co-Authors: Dong Han, Utku Tefek, Hlaing Minn, Teng Joon LimAbstract:For a radio resource-limited multi-tier machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier (Type) and guaranteeing fairness among nodes is always a challenge. In this paper, we study the network dimensioning and radio resource partitioning for the uplink of an MTC network with the signal-to-interference ratio-based clustering and relaying, where the MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Specifically, under transmission outage probability constraints, we investigate the trade-off between network utility (in terms of transmission capacity and revenue) and resource allocation fairness. With both outage probability constraints and minimum MTCD density constraints, we propose approaches to maximize the weighted sum of quality of experience of different tiers of MTCDs. Furthermore, a transmit power control strategy for MTCG-to-BS link is proposed to achieve a constant data rate.
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network dimensioning and radio resource management for multi tier machine Type Communications
Global Communications Conference, 2017Co-Authors: Dong Han, Utku Tefek, Teng Joon Lim, Hlaing MinnAbstract:For a radio resource limited multi-tier Machine-Type Communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier and guaranteeing fairness among nodes is always a challenge. In this paper, we propose three approaches for network dimensioning and radio resource partitioning for the uplink of an MTC network with signal-to-interference ratio (SIR)-based clustering and relaying, where MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Assuming that each tier has a different outage probability constraint, our first resource allocation method achieves maximum sum network capacity, while the other two methods achieve suboptimal sum network capacity with higher degrees of fairness. The proposed methods are also applicable when the objective is the network operator's total revenue instead of sum network capacity.
