The Experts below are selected from a list of 37893 Experts worldwide ranked by ideXlab platform

Monisha Ghosh - One of the best experts on this subject based on the ideXlab platform.

  • Interference Management in uav assisted integrated access and backhaul cellular networks
    IEEE Access, 2019
    Co-Authors: Abdurrahman Fouda, Ahmed Ibrahim, Ismail Guvenc, Monisha Ghosh
    Abstract:

    An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of the next-generation cellular networks. However, mutual Interference between access and backhaul links, small inter-site distance, and spatial dynamics of user distribution pose major challenges in the practical deployment of the IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an Interference Management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of the UAVs. We consider two spatial configuration modes of the UAVs, distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9× and 6.7× gains in the received downlink signal-to-Interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs can not only be used for coverage improvement but also for capacity boosting in the IAB cellular networks.

  • Interference Management in uav assisted integrated access and backhaul cellular networks
    arXiv: Signal Processing, 2019
    Co-Authors: Abdurrahman Fouda, Ahmed Ibrahim, Ismail Guvenc, Monisha Ghosh
    Abstract:

    An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual Interference between access and backhaul links, small inter-site distance and spatial dynamics of user distribution pose major challenges in the practical deployment of IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an Interference Management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of UAVs. We consider two spatial configuration modes of UAVs: distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of $2.9\times$ and $6.7\times$ gains in the received downlink signal-to-Interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs cannot only be used for coverage improvement but also for capacity boosting in IAB cellular networks.

Mehdi Rasti - One of the best experts on this subject based on the ideXlab platform.

  • Interference Management and duplex mode selection in in band full duplex d2d communications a stochastic geometry approach
    IEEE Transactions on Mobile Computing, 2021
    Co-Authors: Simin Badri, Mehdi Rasti
    Abstract:

    In this article, we present a new approach for managing the Interference on cellular users through optimum mode selection between half-duplex (HD) and in-band full-duplex (IBFD) in such a way that device-to-device (D2D) throughput is maximized, while the quality of service (QoS) of the cellular users is guaranteed in terms of delay. To present a comprehensive view and analyse of the proposed approach in a large network, we use Poisson point process that enables us to model a large network with random parameters in such a way that is highly compatible with reality. Also, to model the cellular users’ delay, we use the queuing theory and Markov processes. Unlike other related works, the mode selection between HD and IBFD is considered as a decision variable and its optimal value is obtained. The results show that in comparison with the related works, our proposed approach leads to improvements in the D2D throughput, while through proper Interference Management, the impact on the cellular users’ throughput is negligible. Moreover, the QoS of the cellular users is guaranteed by keeping the delay below a certain threshold.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    IEEE Wireless Communications, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, for example, higher data rates, excellent end-to-end performance, and user-coverage in hot-spots and crowded areas with lower latency, energy consumption, and cost per information transfer. To address these challenges, 5G systems will adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g. power control, cell association) in these networks with shared spectrum access (i.e. when the different network tiers share the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context a survey and qualitative comparison of the existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    arXiv: Networking and Internet Architecture, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, e.g., higher data rates, excellent end-to-end performance and user-coverage in hot-spots and crowded areas with lower latency, energy consumption and cost per information transfer. To address these challenges, 5G systems need to adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g., power control, cell association) in these networks with shared spectrum access (i.e., when the different network tiers shares the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context, a survey and qualitative comparison of the potential existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

Ekram Hossain - One of the best experts on this subject based on the ideXlab platform.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    IEEE Wireless Communications, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, for example, higher data rates, excellent end-to-end performance, and user-coverage in hot-spots and crowded areas with lower latency, energy consumption, and cost per information transfer. To address these challenges, 5G systems will adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g. power control, cell association) in these networks with shared spectrum access (i.e. when the different network tiers share the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context a survey and qualitative comparison of the existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    arXiv: Networking and Internet Architecture, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, e.g., higher data rates, excellent end-to-end performance and user-coverage in hot-spots and crowded areas with lower latency, energy consumption and cost per information transfer. To address these challenges, 5G systems need to adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g., power control, cell association) in these networks with shared spectrum access (i.e., when the different network tiers shares the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context, a survey and qualitative comparison of the potential existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

  • Interference Management in ofdma femtocell networks issues and approaches
    IEEE Wireless Communications, 2012
    Co-Authors: Nazmus Saquib, Ekram Hossain, Dong In Kim
    Abstract:

    One of the effective techniques of improving the coverage and enhancing the capacity and data rate in cellular wireless networks is to reduce the cell size (i.e., cell splitting) and transmission distances. Therefore, the concept of deploying femtocells over macrocell has recently attracted growing interests in academia, industry, and standardization forums. Various technical challenges towards mass deployment of femtocells have been addressed in recent literature. Interference mitigation between neighboring femtocells and between the femtocell and macrocell is considered to be one of the major challenges in femtocell networks because femtocells share the same licensed frequency spectrum with macrocell. Further, the conventional radio resource Management techniques for hierarchical cellular system is not suitable for femtocell networks since the positions of the femtocells are random depending on the users' service requirement. In this article, we provide a survey of the different state-of-the-art approaches for Interference and resource Management in orthogonal frequency-division multiple access (OFDMA)-based femtocell networks. A qualitative comparison among the different approaches is provided. To this end, open challenges in designing Interference Management schemes for OFDMA femtocell networks are discussed.

Amr Abdelnasser - One of the best experts on this subject based on the ideXlab platform.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    IEEE Wireless Communications, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, for example, higher data rates, excellent end-to-end performance, and user-coverage in hot-spots and crowded areas with lower latency, energy consumption, and cost per information transfer. To address these challenges, 5G systems will adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g. power control, cell association) in these networks with shared spectrum access (i.e. when the different network tiers share the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context a survey and qualitative comparison of the existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

  • evolution towards 5g multi tier cellular wireless networks an Interference Management perspective
    arXiv: Networking and Internet Architecture, 2014
    Co-Authors: Ekram Hossain, Mehdi Rasti, Hina Tabassum, Amr Abdelnasser
    Abstract:

    The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, e.g., higher data rates, excellent end-to-end performance and user-coverage in hot-spots and crowded areas with lower latency, energy consumption and cost per information transfer. To address these challenges, 5G systems need to adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of Interference Management (e.g., power control, cell association) in these networks with shared spectrum access (i.e., when the different network tiers shares the same licensed spectrum). It is argued that the existing Interference Management schemes will not be able to address the Interference Management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context, a survey and qualitative comparison of the potential existing cell association and power control schemes is provided to demonstrate their limitations for Interference Management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

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

  • User Association and Interference Management in Massive MIMO HetNets
    IEEE Transactions on Communications, 2016
    Co-Authors: Ozgun Yilmaz Bursalioglu, J G Andrews, Haralabos C. Papadopoulos, Q. Ye, Constantine Caramanis
    Abstract:

    Two key traits of 5G cellular networks are much higher base station (BS) densities-especially in the case of low-power BSs-and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize the offloading gains and minimize the Interference challenges arising from adding small cells. We consider two Interference Management approaches: joint transmission (JT) with local precoding, where users are served simultaneously by multiple BSs without requiring channel state information exchanges among cooperating BSs, and resource blanking, where some macro BS resources are left blank to reduce the Interference in the small cell downlink. A key advantage offered by massive MIMO is channel hardening, which enables to predict instantaneous rates a priori. This allows us to develop a unified framework, where resource allocation is cast as a network utility maximization (NUM) problem, and to demonstrate large gains in cell-edge rates based on the NUM solution. We propose an efficient dual subgradient based algorithm, which converges towards the NUM solution. A scheduling scheme is also proposed to approach the NUM solution. Simulations illustrate more than 2x rate gain for 10th percentile users vs. an optimal association without Interference Management.

  • ergodic transmission capacity of wireless ad hoc networks with Interference Management
    IEEE Transactions on Wireless Communications, 2012
    Co-Authors: Chunhung Liu, J G Andrews
    Abstract:

    Most work on wireless network throughput ignores the temporal correlation inherent to wireless channels because it degrades tractability. To better model and quantify the temporal variations of wireless network throughput, this paper introduces a metric termed ergodic transmission capacity (ETC), which includes spatial and temporal ergodicity. All transmitters in the network form a homogeneous Poisson point process and all channels are modeled by a finite state Markov chain. The bounds on outage probability and ETC are characterized, and their scaling behaviors for a sparse and dense network are discussed. From these results, we show that the ETC can be characterized by the inner product of the channel-state related vector and the invariant probability vector of the Markov chain. This indicates that distributed channel-aware scheduling (DCAS) does not always increase ETC. Finally, we look at outage probability with Interference Management from a stochastic geometry point of view. The improved bounds on outage probability and ETC due to Interference Management are characterized and they provide some useful insights on how to effectively manage Interference in sparse and dense networks.

  • ergodic transmission capacity of wireless ad hoc networks with Interference Management
    arXiv: Information Theory, 2011
    Co-Authors: Chunhung Liu, J G Andrews
    Abstract:

    Most work on wireless network throughput ignores the temporal correlation inherent to wireless channels because it degrades tractability. To better model and quantify the temporal variations of wireless network throughput, this paper introduces a metric termed ergodic transmission capacity (ETC), which includes spatial and temporal ergodicity. All transmitters in the network form a homogeneous Poisson point process and all channels are modeled by a finite state Markov chain. The bounds on outage probability and ETC are characterized, and their scaling behaviors for a sparse and dense network are discussed. From these results, we show that the ETC can be characterized by the inner product of the channel-state related vector and the invariant probability vector of the Markov chain. This indicates that channel-aware opportunistic transmission does not always increase ETC. Finally, we look at outage probability with Interference Management from a stochastic geometry point of view. The improved bounds on outage probability and ETC due to Interference Management are characterized and they provide some useful insights on how to effectively manage Interference in sparse and dense networks.