The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform

Jeffrey G Andrews - One of the best experts on this subject based on the ideXlab platform.

  • load aware modeling and analysis of heterogeneous cellular networks
    arXiv: Information Theory, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    Random spatial models are attractive for modeling heterogeneous cellular networks (HCNs) due to their realism, tractability, and scalability. A major limitation of such models to date in the context of HCNs is the neglect of network traffic and load: all base stations (BSs) have typically been assumed to always be transmitting. Small cells in particular will have a lighter load than macrocells, and so their contribution to the network interference may be significantly overstated in a fully loaded model. This paper incorpoRates a flexible notion of BS load by introducing a new idea of conditionally thinning the interference field. For a K-tier HCN where BSs across tiers differ in terms of transmit power, Supported Data Rate, deployment density, and now load, we derive the coverage probability for a typical mobile, which connects to the strongest BS signal. Conditioned on this connection, the interfering BSs of the $i^{th}$ tier are assumed to transmit independently with probability $p_i$, which models the load. Assuming - reasonably - that smaller cells are more lightly loaded than macrocells, the analysis shows that adding such access points to the network always increases the coverage probability. We also observe that fully loaded models are quite pessimistic in terms of coverage.

  • modeling and analysis of k tier downlink heterogeneous cellular networks
    IEEE Journal on Selected Areas in Communications, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Francois Baccelli, Jeffrey G Andrews
    Abstract:

    Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accuRate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, Supported Data Rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accuRate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accuRate to within 1-2 dB. We also derive the average Rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given \sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.

  • a tractable framework for coverage and outage in heterogeneous cellular networks
    Information Theory and Applications, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

  • ITA - A tractable framework for coverage and outage in heterogeneous cellular networks
    2011 Information Theory and Applications Workshop, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

Harpreet S Dhillon - One of the best experts on this subject based on the ideXlab platform.

  • load aware modeling and analysis of heterogeneous cellular networks
    arXiv: Information Theory, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    Random spatial models are attractive for modeling heterogeneous cellular networks (HCNs) due to their realism, tractability, and scalability. A major limitation of such models to date in the context of HCNs is the neglect of network traffic and load: all base stations (BSs) have typically been assumed to always be transmitting. Small cells in particular will have a lighter load than macrocells, and so their contribution to the network interference may be significantly overstated in a fully loaded model. This paper incorpoRates a flexible notion of BS load by introducing a new idea of conditionally thinning the interference field. For a K-tier HCN where BSs across tiers differ in terms of transmit power, Supported Data Rate, deployment density, and now load, we derive the coverage probability for a typical mobile, which connects to the strongest BS signal. Conditioned on this connection, the interfering BSs of the $i^{th}$ tier are assumed to transmit independently with probability $p_i$, which models the load. Assuming - reasonably - that smaller cells are more lightly loaded than macrocells, the analysis shows that adding such access points to the network always increases the coverage probability. We also observe that fully loaded models are quite pessimistic in terms of coverage.

  • modeling and analysis of k tier downlink heterogeneous cellular networks
    IEEE Journal on Selected Areas in Communications, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Francois Baccelli, Jeffrey G Andrews
    Abstract:

    Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accuRate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, Supported Data Rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accuRate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accuRate to within 1-2 dB. We also derive the average Rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given \sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.

  • a tractable framework for coverage and outage in heterogeneous cellular networks
    Information Theory and Applications, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

  • ITA - A tractable framework for coverage and outage in heterogeneous cellular networks
    2011 Information Theory and Applications Workshop, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

Radha Krishna Ganti - One of the best experts on this subject based on the ideXlab platform.

  • load aware modeling and analysis of heterogeneous cellular networks
    arXiv: Information Theory, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    Random spatial models are attractive for modeling heterogeneous cellular networks (HCNs) due to their realism, tractability, and scalability. A major limitation of such models to date in the context of HCNs is the neglect of network traffic and load: all base stations (BSs) have typically been assumed to always be transmitting. Small cells in particular will have a lighter load than macrocells, and so their contribution to the network interference may be significantly overstated in a fully loaded model. This paper incorpoRates a flexible notion of BS load by introducing a new idea of conditionally thinning the interference field. For a K-tier HCN where BSs across tiers differ in terms of transmit power, Supported Data Rate, deployment density, and now load, we derive the coverage probability for a typical mobile, which connects to the strongest BS signal. Conditioned on this connection, the interfering BSs of the $i^{th}$ tier are assumed to transmit independently with probability $p_i$, which models the load. Assuming - reasonably - that smaller cells are more lightly loaded than macrocells, the analysis shows that adding such access points to the network always increases the coverage probability. We also observe that fully loaded models are quite pessimistic in terms of coverage.

  • modeling and analysis of k tier downlink heterogeneous cellular networks
    IEEE Journal on Selected Areas in Communications, 2012
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Francois Baccelli, Jeffrey G Andrews
    Abstract:

    Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accuRate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, Supported Data Rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accuRate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accuRate to within 1-2 dB. We also derive the average Rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given \sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.

  • a tractable framework for coverage and outage in heterogeneous cellular networks
    Information Theory and Applications, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

  • ITA - A tractable framework for coverage and outage in heterogeneous cellular networks
    2011 Information Theory and Applications Workshop, 2011
    Co-Authors: Harpreet S Dhillon, Radha Krishna Ganti, Jeffrey G Andrews
    Abstract:

    We develop a tractable, flexible, and accuRate model for downlink heterogeneous cellular networks. It consists of K tiers of randomly-located base stations (BSs), where each tier may differ in terms of the average transmit power, the Supported Data Rate and the BS density. This allows elements spanning traditional, micro, pico, and femtocell BSs to be simultaneously considered. Assuming a mobile user connects to its strongest BS, we derive its Signal-to-Interference-Ratio (SIR) distribution and use that to find the coverage (equivalently outage) probability over the entire network. We verify the accuracy of these analytical results through empirical comparisons with an actual 4G macro-cell network.

Jaafar M H Elmirghani - One of the best experts on this subject based on the ideXlab platform.

  • impact of user distribution on optical wireless systems
    arXiv: Signal Processing, 2020
    Co-Authors: Khulood D Alazwary, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Sarah O M Saeed, Mohammed Thamer Alresheedi, Taisir E H Elgorashi, Jaafar M H Elmirghani
    Abstract:

    In this paper, we investigate the impact of user distribution on resource allocation in visible light communication (VLC) systems, using a wavelength division multiple access (WDMA) scheme. Two different room layouts are examined in this study. Three 10-user scenarios are considered, while an optical angle diversity receiver (ADR) with four faces is used. A mixed-integer linear programming (MILP) model is utilized to identify the optimum wavelengths and access point (AP) allocation in each scenario. The results show that a change in user distribution can affect the level of channel bandwidth and SINR. However, a uniform distribution of users in the room can provide a higher channel bandwidth as well as high SINR above the threshold (15.6 dB) for all users compared to clustered users, which is a scenario that has the lowest SINR with Supported Data Rate above 3.2 Gbps.

  • ICTON - Impact of User Distribution on Optical Wireless Systems
    2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020
    Co-Authors: Khulood D Alazwary, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Sarah O M Saeed, Mohammed Thamer Alresheedi, Taisir E. H. El-gorashi, Jaafar M H Elmirghani
    Abstract:

    In this paper, we investigate the impact of user distribution on resource allocation in visible light communication (VLC) systems, using a wavelength division multiple access (WDMA) scheme. Two different room layouts are examined in this study. Three 10-user scenarios are considered, while an optical angle diversity receiver (ADR) with four faces is used. A mixed-integer linear programming (MILP) model is utilized to identify the optimum wavelengths and access point (AP) allocation in each scenario. The results show that a change in user distribution can affect the level of channel bandwidth and SINR. However, a uniform distribution of users in the room can provide a higher channel bandwidth as well as high SINR above the threshold (15.6 dB) for all users compared to clustered users, which is a scenario that has the lowest SINR with Supported Data Rate above 3.2 Gbps.

Khulood D Alazwary - One of the best experts on this subject based on the ideXlab platform.

  • impact of user distribution on optical wireless systems
    arXiv: Signal Processing, 2020
    Co-Authors: Khulood D Alazwary, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Sarah O M Saeed, Mohammed Thamer Alresheedi, Taisir E H Elgorashi, Jaafar M H Elmirghani
    Abstract:

    In this paper, we investigate the impact of user distribution on resource allocation in visible light communication (VLC) systems, using a wavelength division multiple access (WDMA) scheme. Two different room layouts are examined in this study. Three 10-user scenarios are considered, while an optical angle diversity receiver (ADR) with four faces is used. A mixed-integer linear programming (MILP) model is utilized to identify the optimum wavelengths and access point (AP) allocation in each scenario. The results show that a change in user distribution can affect the level of channel bandwidth and SINR. However, a uniform distribution of users in the room can provide a higher channel bandwidth as well as high SINR above the threshold (15.6 dB) for all users compared to clustered users, which is a scenario that has the lowest SINR with Supported Data Rate above 3.2 Gbps.

  • ICTON - Impact of User Distribution on Optical Wireless Systems
    2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020
    Co-Authors: Khulood D Alazwary, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Sarah O M Saeed, Mohammed Thamer Alresheedi, Taisir E. H. El-gorashi, Jaafar M H Elmirghani
    Abstract:

    In this paper, we investigate the impact of user distribution on resource allocation in visible light communication (VLC) systems, using a wavelength division multiple access (WDMA) scheme. Two different room layouts are examined in this study. Three 10-user scenarios are considered, while an optical angle diversity receiver (ADR) with four faces is used. A mixed-integer linear programming (MILP) model is utilized to identify the optimum wavelengths and access point (AP) allocation in each scenario. The results show that a change in user distribution can affect the level of channel bandwidth and SINR. However, a uniform distribution of users in the room can provide a higher channel bandwidth as well as high SINR above the threshold (15.6 dB) for all users compared to clustered users, which is a scenario that has the lowest SINR with Supported Data Rate above 3.2 Gbps.