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Lingjia Liu - One of the best experts on this subject based on the ideXlab platform.

  • spatial spectrum sensing based D2d communications in user centric deployed hetnets
    Global Communications Conference, 2019
    Co-Authors: Bodong Shang, Lingjia Liu, Hao Chen, Jianzhong Zhang, Scott Pudlewski, Elizabeth S Bentley, Jonathan Ashdown
    Abstract:

    This paper develops a novel framework for the modeling and analysis of spatial spectrum sensing (SSS) for device-to-device (D2d) communications in uplink two- tier user-centric deployed heterogeneous networks (HetNets), where small cell base stations (SBSs) are deployed in the places with high user density termed hotspots introduced by 3GPP. We study the average transmit power of uplink users, the probability of spatial false alarm and the probability of spatial miss detection of a typical D2d transmitter (D2d-Tx) during SSS. Based on the results, we further characterize the coverage probability of a typical D2d user and the area spectral efficiency (ASE) of D2d networks. Simulation results verify our analysis and demonstrate the advantages of SSS-based D2d communications in future wireless networks.

  • qos aware D2d cellular networks with spatial spectrum sensing a stochastic geometry view
    IEEE Transactions on Communications, 2019
    Co-Authors: Hao Chen, Lingjia Liu
    Abstract:

    Spectrum access and interference management are amongst the most challenging issues in device-to-device (D2d) cellular networks. In order to address these issues, this paper introduces spatial spectrum sensing (SSS) for D2d cellular networks to facilitate cellular spectrum sharing by D2d users while providing a quality of service guarantee for cellular users. In order to assess the performance of the proposed scheme, we adopt a stochastic geometry approach in which the locations of base stations and D2d devices are modeled as independent Poisson point processes (PPPs). Assuming that the locations of the active cellular transmitters form another independent PPP, we characterize the area spectral efficiency of D2d networks under cellular users’ outage probability constraint. The use of SSS prohibits D2d transmissions around the active cellular users because of which the locations of the active D2d transmitters are modeled as a Poisson hole process driven by the PPP of active cellular user locations. Our analysis carefully accounts for this spatial separation between active cellular users and active D2d devices. Extensive simulation and numerical results are presented to verify our analysis and demonstrate the advantages of SSS-based D2d cellular networks.

  • improving the coverage and spectral efficiency of millimeter wave cellular networks using device to device relays
    IEEE Transactions on Communications, 2018
    Co-Authors: Rachad Atat, Nicholas Mastronarde, Lingjia Liu
    Abstract:

    The susceptibility of millimeter waveform propagation to blockages limits the coverage of millimeter-wave (mmWave) signals. To overcome blockages, we propose to leverage two-hop device-to-device (D2d) relaying. Using stochastic geometry, we derive expressions for the downlink coverage probability of relay-assisted mmWave cellular networks when the D2d links are implemented in either uplink mmWave or uplink microwave bands. We further investigate the spectral efficiency (SE) improvement in the cellular downlink, and the effect of D2d transmissions on the cellular uplink. For mmWave links, we derive the coverage probability using dominant interferer analysis while accounting for both blockages and beamforming gains. For microwave D2d links, we derive the coverage probability considering both line-of-sight and non-line-of-sight (NLOS) propagation. Numerical results show that downlink coverage and SE can be improved using two-hop D2d relaying. Specifically, microwave D2d relays achieve better coverage because D2d connections can be established under NLOS conditions. However, mmWave D2d relays achieve better coverage when the density of interferers is large because blockages eliminate interference from NLOS interferers. The SE on the downlink depends on the relay mode selection strategy, and mmWave D2d relays use a significantly smaller fraction of uplink resources than microwave D2d relays.

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

  • The Interplay Between Massive MIMO and Underlaid D2d Networking
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xingqin Lin, Robert W. Heath, Jeffrey G. Andrews
    Abstract:

    In a device-to-device (D2d) underlaid cellular network, the uplink spectrum is reused by the D2d transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2d-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2d interference. This paper studies the interplay between massive MIMO and underlaid D2d networking in a multi-cell setting. We investigate cellular and D2d spectral efficiencies under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2d, there is a loss in cellular spectral efficiency due to D2d underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2d interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2d spectral efficiencies.

  • Power control for D2d underlaid cellular networks: Modeling, algorithms, and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper considers a device-to-device (D2d) underlaid cellular network where an uplink cellular user communicates with the base station while multiple direct D2d links share the uplink spectrum. This paper proposes a random network model based on stochastic geometry and develops centralized and distributed power control algorithms. The goal of the proposed power control algorithms is two-fold: ensure the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while also attempting to support as many D2d links as possible. For the distributed power control method, expressions for the coverage probabilities of cellular and D2d links are derived and a lower bound on the sum rate of the D2d links is provided. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intra-tier interference. Numerical results show the gains of the proposed power control algorithms and accuracy of the analysis.

  • power control for D2d underlaid cellular networks modeling algorithms and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper proposes a random network model for a device-to-device (D2d) underlaid cellular system using stochastic geometry and develops centralized and distributed power control algorithms. The goal of centralized power control is twofold: ensure that the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while scheduling as many D2d links as possible. For the distributed power control method, the optimal on–off power control strategy is proposed, which maximizes the sum rate of the D2d links. Expressions are derived for the coverage probabilities of cellular, D2d links, and the sum rate of the D2d links in terms of the density of D2d links and the path-loss exponent. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intratier interference when the density of D2d links is sparse. Simulation results verify the exactness of the derived coverage probabilities and the sum rate of D2d links.

  • spectrum sharing for device to device communication in cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Jeffrey G. Andrews, Amitava Ghosh
    Abstract:

    This paper addresses two fundamental and interrelated issues in device-to-device (D2d) enhanced cellular networks. The first issue is how D2d users should access spectrum, and we consider two choices: overlay (orthogonal spectrum between D2d and cellular UEs) and underlay (non-orthogonal). The second issue is how D2d users should choose between communicating directly or via the base station, a choice that depends on distance between the potential D2d transmitter and receiver. We propose a tractable hybrid network model where the positions of mobiles are modeled by random spatial Poisson point process, with which we present a general analytical approach that allows a unified performance evaluation for these questions. Then, we derive analytical rate expressions and apply them to optimize the two D2d spectrum sharing scenarios under a weighted proportional fair utility function. We find that as the proportion of potential D2d mobiles increases, the optimal spectrum partition in the overlay is almost invariant (when D2d mode selection threshold is large) while the optimal spectrum access factor in the underlay decreases. Further, from a coverage perspective, we reveal a tradeoff between the spectrum access factor and the D2d mode selection threshold in the underlay: as more D2d links are allowed (due to a more relaxed mode selection threshold), the network should actually make less spectrum available to them to limit their interference.

  • the interplay between massive mimo and underlaid D2d networking
    arXiv: Information Theory, 2014
    Co-Authors: Robert W. Heath, Jeffrey G. Andrews
    Abstract:

    In a device-to-device (D2d) underlaid cellular network, the uplink spectrum is reused by the D2d transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2d-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2d interference. This paper studies the interplay between massive MIMO and underlaid D2d networking in a multi-cell setting. We investigate cellular and D2d spectral efficiency under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2d, there is a loss in cellular spectral efficiency due to D2d underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2d interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2d spectral efficiency.

Robert W. Heath - One of the best experts on this subject based on the ideXlab platform.

  • The Interplay Between Massive MIMO and Underlaid D2d Networking
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xingqin Lin, Robert W. Heath, Jeffrey G. Andrews
    Abstract:

    In a device-to-device (D2d) underlaid cellular network, the uplink spectrum is reused by the D2d transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2d-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2d interference. This paper studies the interplay between massive MIMO and underlaid D2d networking in a multi-cell setting. We investigate cellular and D2d spectral efficiencies under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2d, there is a loss in cellular spectral efficiency due to D2d underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2d interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2d spectral efficiencies.

  • Power control for D2d underlaid cellular networks: Modeling, algorithms, and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper considers a device-to-device (D2d) underlaid cellular network where an uplink cellular user communicates with the base station while multiple direct D2d links share the uplink spectrum. This paper proposes a random network model based on stochastic geometry and develops centralized and distributed power control algorithms. The goal of the proposed power control algorithms is two-fold: ensure the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while also attempting to support as many D2d links as possible. For the distributed power control method, expressions for the coverage probabilities of cellular and D2d links are derived and a lower bound on the sum rate of the D2d links is provided. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intra-tier interference. Numerical results show the gains of the proposed power control algorithms and accuracy of the analysis.

  • power control for D2d underlaid cellular networks modeling algorithms and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper proposes a random network model for a device-to-device (D2d) underlaid cellular system using stochastic geometry and develops centralized and distributed power control algorithms. The goal of centralized power control is twofold: ensure that the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while scheduling as many D2d links as possible. For the distributed power control method, the optimal on–off power control strategy is proposed, which maximizes the sum rate of the D2d links. Expressions are derived for the coverage probabilities of cellular, D2d links, and the sum rate of the D2d links in terms of the density of D2d links and the path-loss exponent. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intratier interference when the density of D2d links is sparse. Simulation results verify the exactness of the derived coverage probabilities and the sum rate of D2d links.

  • the interplay between massive mimo and underlaid D2d networking
    arXiv: Information Theory, 2014
    Co-Authors: Robert W. Heath, Jeffrey G. Andrews
    Abstract:

    In a device-to-device (D2d) underlaid cellular network, the uplink spectrum is reused by the D2d transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2d-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2d interference. This paper studies the interplay between massive MIMO and underlaid D2d networking in a multi-cell setting. We investigate cellular and D2d spectral efficiency under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2d, there is a loss in cellular spectral efficiency due to D2d underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2d interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2d spectral efficiency.

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

  • distributed interference and energy aware power control for ultra dense D2d networks a mean field game
    IEEE Transactions on Wireless Communications, 2017
    Co-Authors: Chungang Yang, Ekram Hossain, Prabodini Semasinghe, Samir M Perlaza, Zhu Han
    Abstract:

    Device-to-device (D2d) communications can enha-nce spectrum and energy efficiency due to direct proximity communication and frequency reuse. However, such performance enhancement is limited by mutual interference and energy availability, especially when the deployment of D2d links is ultra-dense. In this paper, we present a distributed power control method for ultra-dense D2d communications underlying cellular communications. In this power control method, in addition to the remaining battery energy of the D2d transmitter, we consider the effects of both the interference caused by the generic D2d transmitter to others and the interference from all others caused to the generic D2d receiver. We formulate a mean-field game (MFG) theoretic framework with the interference mean-field approximation. We design the cost function combining both the performance of the D2d communication and cost for transmit power at the D2d transmitter. Within the MFG framework, we derive the related Hamilton–Jacobi–Bellman and Fokker–Planck–Kolmogorov equations. Then, a novel energy and interference aware power control policy is proposed, which is based on the Lax–Friedrichs scheme and the Lagrange relaxation. The numerical results are presented to demonstrate the spectrum and energy efficiency performances of our proposed approach.

  • cognitive and energy harvesting based D2d communication in cellular networks stochastic geometry modeling and analysis
    IEEE Transactions on Communications, 2015
    Co-Authors: Ahmed Hamdi Sakr, Ekram Hossain
    Abstract:

    While cognitive radio enables spectrum-efficient wireless communication, radio frequency (RF) energy harvesting from ambient interference is an enabler for energy-efficient wireless communication. In this paper, we model and analyze cognitive and energy harvesting-based device-to-device (D2d) communication in cellular networks. The cognitive D2d transmitters harvest energy from ambient interference and use one of the channels allocated to cellular users (in uplink or downlink), which is referred to as the D2d channel, to communicate with the corresponding receivers. We investigate two spectrum access policies for cellular communication in the uplink or downlink, namely, random spectrum access (RSA) policy and prioritized spectrum access (PSA) policy. In RSA, any of the available channels including the channel used by the D2d transmitters can be selected randomly for cellular communication, while in PSA the D2d channel is used only when all of the other channels are occupied. A D2d transmitter can communicate successfully with its receiver only when it harvests enough energy to perform channel inversion toward the receiver, the D2d channel is free, and the signal-to-interference-plus-noise ratio $({\ssr SINR} ) $ at the receiver is above the required threshold; otherwise, an outage occurs for the D2d communication. We use tools from stochastic geometry to evaluate the performance of the proposed communication system model with general path-loss exponent in terms of outage probability for D2d and cellular users. We show that energy harvesting can be a reliable alternative to power cognitive D2d transmitters while achieving acceptable performance. Under the same ${\ssr SINR} $ outage requirements as for the non-cognitive case, cognitive channel access improves the outage probability for D2d users for both the spectrum access policies. When compared with the RSA policy, the PSA policy provides a better performance to the D2d users. Also, using an uplink channel provides improved performance to the D2d users in dense networks when compared to a downlink channel. For cellular users, the PSA policy provides almost the same outage performance as the RSA policy.

  • Cognitive and Energy Harvesting-Based D2d Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis
    IEEE Transactions on Communications, 2015
    Co-Authors: Ahmed Hamdi Sakr, Ekram Hossain
    Abstract:

    While cognitive radio enables spectrum-efficient wireless communication, radio frequency (RF) energy harvesting from ambient interference is an enabler for energy-efficient wireless communication. In this paper, we model and analyze cognitive and energy harvesting-based D2d communication in cellular networks. The cognitive D2d transmitters harvest energy from ambient interference and use one of the channels allocated to cellular users (in uplink or downlink), which is referred to as the D2d channel, to communicate with the corresponding receivers. We investigate two spectrum access policies for cellular communication in the uplink or downlink, namely, random spectrum access (RSA) policy and prioritized spectrum access (PSA) policy. In RSA, any of the available channels including the channel used by the D2d transmitters can be selected randomly for cellular communication, while in PSA the D2d channel is used only when all of the other channels are occupied. A D2d transmitter can communicate successfully with its receiver only when it harvests enough energy to perform channel inversion toward the receiver, the D2d channel is free, and the $\mathsf{SINR}$ at the receiver is above the required threshold; otherwise, an outage occurs for the D2d communication. We use tools from stochastic geometry to evaluate the performance of the proposed communication system model with general path-loss exponent in terms of outage probability for D2d and cellular users. We show that energy harvesting can be a reliable alternative to power cognitive D2d transmitters while achieving acceptable performance. Under the same $\mathsf{SINR}$ outage requirements as for the non-cognitive case, cognitive channel access improves the outage probability for D2d users for both the spectrum access policies.

  • Game-theoretic resource allocation methods for device-to-device communication
    IEEE Wireless Communications, 2014
    Co-Authors: Lingyang Song, Zhu Han, Dusit Niyato, Ekram Hossain
    Abstract:

    Device-to-device communication underlaying cellular networks allows mobile devices such as smartphones and tablets to use the licensed spectrum allocated to cellular services for direct peer-to-peer transmission. D2d communication can use either one-hop transmission (i.e. D2d direct communication) or multi-hop clusterbased transmission (i.e. in D2d local area networks). The D2d devices can compete or cooperate with each other to reuse the radio resources in D2d networks. Therefore, resource allocation and access for D2d communication can be treated as games. The theories behind these games provide a variety of mathematical tools to effectively model and analyze the individual or group behaviors of D2d users. In addition, game models can provide distributed solutions to the resource allocation problems for D2d communication. The aim of this article is to demonstrate the applications of game-theoretic models to study the radio resource allocation issues in D2d communication. The article also outlines several key open research directions.

Xingqin Lin - One of the best experts on this subject based on the ideXlab platform.

  • The Interplay Between Massive MIMO and Underlaid D2d Networking
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xingqin Lin, Robert W. Heath, Jeffrey G. Andrews
    Abstract:

    In a device-to-device (D2d) underlaid cellular network, the uplink spectrum is reused by the D2d transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2d-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2d interference. This paper studies the interplay between massive MIMO and underlaid D2d networking in a multi-cell setting. We investigate cellular and D2d spectral efficiencies under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2d, there is a loss in cellular spectral efficiency due to D2d underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2d interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2d spectral efficiencies.

  • Power control for D2d underlaid cellular networks: Modeling, algorithms, and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper considers a device-to-device (D2d) underlaid cellular network where an uplink cellular user communicates with the base station while multiple direct D2d links share the uplink spectrum. This paper proposes a random network model based on stochastic geometry and develops centralized and distributed power control algorithms. The goal of the proposed power control algorithms is two-fold: ensure the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while also attempting to support as many D2d links as possible. For the distributed power control method, expressions for the coverage probabilities of cellular and D2d links are derived and a lower bound on the sum rate of the D2d links is provided. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intra-tier interference. Numerical results show the gains of the proposed power control algorithms and accuracy of the analysis.

  • power control for D2d underlaid cellular networks modeling algorithms and analysis
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews, Robert W. Heath
    Abstract:

    This paper proposes a random network model for a device-to-device (D2d) underlaid cellular system using stochastic geometry and develops centralized and distributed power control algorithms. The goal of centralized power control is twofold: ensure that the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2d users, while scheduling as many D2d links as possible. For the distributed power control method, the optimal on–off power control strategy is proposed, which maximizes the sum rate of the D2d links. Expressions are derived for the coverage probabilities of cellular, D2d links, and the sum rate of the D2d links in terms of the density of D2d links and the path-loss exponent. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2d underlaid cellular networks is the cross-tier interference between D2d links and the cellular user, not the D2d intratier interference when the density of D2d links is sparse. Simulation results verify the exactness of the derived coverage probabilities and the sum rate of D2d links.