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  • 1.
    Belleschi, Marco
    et al.
    Ericsson AB, Sweden.
    Fodor, Gabor
    Ericsson AB, Sweden.
    Della Penda, Demia
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Pradini, Aidilla
    Ericsson AB, Sweden.
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Abrardo, Andrea
    University of Siena, Italy.
    Benchmarking Practical RRM Algorithms for D2D Communications in LTE Advanced2014In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 82, no 2, p. 883-910Article in journal (Refereed)
    Abstract [en]

    Device-to-device (D2D) communication integrated into cellular networks is an advanced tool to take advantage of the proximity of devices and allow for reusing cellular resources and thereby to increase the user bitrates and the system capacity. However, the introduction of D2D in legacy long term evolution (LTE) cellular spectrum requires to revisit and modify the existing radio resource management and power control (PC) techniques in order to fully realize the potential of the proximity and reuse gains and to limit the interference to the cellular layer. In this paper, we examine the performance of the legacy LTE PC tool box and benchmark it against an utility optimal iterative scheme. We find that the open loop PC scheme of LTE performs well for cellular users both in terms of the used transmit power levels and the achieved signal-to-interference-and-noise-ratio distribution. However, the performance of the D2D users as well as the overall system throughput can be boosted by the utility optimal scheme, by taking better advantage of both the proximity and the reuse gains. Therefore, in this paper we propose a hybrid PC scheme, in which cellular users employ the legacy LTE open loop PC, while D2D users exploits the utility optimizing distributed PC scheme. We also recognize that the hybrid scheme is not only nearly optimal, and can balance between spectral and energy efficiency, but it also allows for a distributed implementation at the D2D users, while preserving the LTE PC scheme for the cellular users.

  • 2.
    Della Penda, Demia
    KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
    Device-to-Device Communication in Future Cellular Networks: Resource allocation and mode selection2018Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The widespread use of smart devices and mobile applications is leading to a massive growth of wireless data traffic. Supporting the upcoming demands of data volume, communication rate, and system capacity requires reconsideration of the existing network architecture. Traditionally, users communicate through the base station via uplink/downlink paths. By allowing device-to-device (D2D) communication, that is, direct transmission between the users, we can enhance both efficiency and scalability of future networks. In this thesis, we address some of the challenges brought by the integration of D2D communication in cellular systems, and validate the potential of this technology by means of proper resource management solutions. Our main contributions lie in the context of mode selection, power control, and frequency/time resource allocation mechanisms. First, we investigate how the integration of D2D communication in dynamic Time Division Duplex systems can enhance the energy efficiency. We propose a joint optimization of mode selection, uplink/downlink transmission time, and power allocation to minimize the energy consumption. The optimization problem is formulated as a mixed-integer nonlinear programming problem, which is NP-hard in general. By exploiting the problem structure, we develop efficient (and for some scenarios, optimal) solutions. We complement the work with a heuristic scheme that achieves near-optimal solutions while respecting practical constraints in terms of execution times and signaling overhead. Second, we study the performance of several power control strategies applicable to D2D-enabled networks. In particular, we compare 3GPP LTE uplink power control with a distributed scheme based on utility maximization. Furthermore, to extend the application of well-known power control approaches to Rician-fading environments, we propose a power allocation scheme based on the concept of coherent-measure-of-risk. This approach allows to obtain a convex and efficiently solvable problem. Third, we study the subcarrier allocation problem in D2D-enabled networks. We maximize the total transmission rate by modeling the problem as a potential game. Nash equilibria of the game correspond to local optima of the objective function, which are found via better-response dynamic implemented with message passing approach. Finally, we propose two different applications of full-duplex technology for D2D communication. First, we present a practical mode selection algorithm that leverages only the existing control signaling to minimize the users' probability of outage. Second, we investigate how the combination of D2D relaying and full-duplex operations can improve the network coverage and the communication quality without additional infrastructure deployment.

  • 3.
    Della Penda, Demia
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Resource management for network-assisted D2D communication2016Licentiate thesis, monograph (Other academic)
    Abstract [en]

    During the last decade, the widespread use of smart devices and mobile applications has led to a massive growth of the mobile traffic demand. Efficiency and scalability are therefore key criteria for the development of future cellular systems, in which device-to-device (D2D) communication is recognized as one of the promising technologies. D2D communication allows mobile users in physical proximity to communicate directly, bypassing the base station as in conventional cellular networks.In this thesis, we investigate some of the possible benefits and challenges brought by the introduction of D2D communication in cellular systems. In particular, we focus on resource management techniques for network-assisted D2D communication using cellular spectrum. Our main contributions lie in the context of mode selection, power control and (frequency/time) resource allocation mechanisms, recognized as key techniques to realize the promises of this technology.First, we investigate how the integration of D2D communication in cellular systems operating under dynamic Time Division Duplex (TDD) can enhance their energy efficiency. We perform joint optimization of mode selection, uplink/downlink transmission period, and power allocation to minimize the transmission energy consumption. The resource management problems for different scenarios are formulated as mixed-integer nonlinear programming problems. In several cases, we exploit the problems’ structure to design efficient algorithms that achieve optimal solutions in polynomial time. In the remaining cases, we propose a heuristic algorithm that computes near-optimal solutions while respecting practical constraints in terms of execution times and signalling overhead. Our simulations demonstrate that D2D communications in dynamic TDD systems can yield significant energy savings and improved spectral efficiency compared to traditional cellular communication.Second, we study the performance of various power control strategies applicable to D2D communications in 3GPP LTE networks. We compare them with an utility maximization approach that trades off spectrum efficiency and total transmit power consumption. Our numerical results suggest that the LTE power control scheme is well prepared for network-assisted D2D communications, especially from the cellular user perspective. However, for D2D users, the utility based scheme can provide gains in terms of SINR and power consumption.Finally, we investigate the subcarrier allocation problem for uplink transmissions ina D2D-enabled network. We focus on maximizing the aggregate transmission rate of the system. In addition to the traditional inter-cell interference, we also account for the intra-cell interference caused by D2D pairs reusing cellular resources. This problem is computationally hard due to its nonconvex and combinatorial nature. However, we show that it can be described as a potential game; hence, we can find a Nash equilibrium using iterative algorithms based on best/better response dynamics.

  • 4.
    Della Penda, Demia
    et al.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Abrardo, Andrea
    University of Siena.
    Moretti, Marco
    University of Pisa.
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Potential games for subcarrier allocation in multi-cell networks with D2D communications2016In: 2016 IEEE International Conference Communications (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2016, article id 7511458Conference paper (Refereed)
    Abstract [en]

    This paper investigates the subcarrier allocation problem for uplink transmissions in a multi-cell network, where device-to-device communications are enabled. We focus on maximizing the aggregate transmission rate in the system accounting for both inter- and intra-cell interference. This problem is computationally hard due to its nonconvex and combinatorial nature. However, we show that it can be described by a potential game, and thus a Nash equilibrium can be found using iterative algorithms based on best/better response dynamics. In particular, we propose a simple iterative algorithm with limited signaling that is guaranteed to converge to an equilibrium point, corresponding to a local maximum of the potential function. Using extensive simulations, we show that the algorithm converges quickly also for dense networks, and that the distance to the true optimum is often small, at least for the small-sized networks for which we were able to compute the true optimum.

  • 5.
    Della Penda, Demia
    et al.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Fu, Liqun
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Energy efficient D2D communications in dynamic TDD systems2017In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 65, no 3, p. 1260-1273Article in journal (Refereed)
    Abstract [en]

    Device-to-Device (D2D) communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of D2D communication in cellular systems operating under dynamic Time Division Duplex (TDD) can improve energy efficiency. We perform joint optimization of mode selection, uplink/downlink transmission period, and power allocation to minimize the transmission energy consumption while satisfying a traffic requirement. Solutions are developed for two scenarios: with and without interference among D2D communications. Both formulations are expressed as mixed-integer nonlinear programming problems, which are NP hardin general. We exploit problem structure to develop efficient solutions for both scenarios. For the interference-free case, we develop algorithms that find the optimal solution in polynomial time. When considering interference, we propose a customized solver based on branch-and-bound that reduces the search complexity by taking advantage of the problem-specific proprieties. We complement this solver by a more practical heuristic algorithm. Simulation results demonstrate that D2D communications in dynamic TDD systems can yield significant energy savings and improved spectral efficiency compared to traditional cellular communication. Furthermore, we give analytical characterizations of the receiver locations relative to a given transmitter where D2D communication is optimal. These regions can be surprisingly large and not necessarily circular.

  • 6.
    Della Penda, Demia
    et al.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Fu, Liqun
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Mode Selection for Energy Efficient D2DCommunications in Dynamic TDD Systems2015In: Communications (ICC), 2015 IEEE International Conference on, 978-1-4673-6432-4: IEEE conference proceedings, 2015, p. 5404-5409Conference paper (Refereed)
    Abstract [en]

    Network-assisted Device-to-Device (D2D) communicationis a promising technology for improving the performanceof proximity-based services. This paper demonstrates how D2Dcommunication can be used to improve the energy-efficiencyof cellular networks, leading to a greener system operationand a prolonged battery life of the mobile devices. Assuminga flexible TDD system, we develop optimal mode selectionpolicies for minimizing the energy cost (either from the systemor from the device perspective) while guaranteeing a certainrate requirement. The jointly optimal transmit power and timeallocation, as well as the optimal mode selection, is found bysolving a small convex optimization problem. Special attentionis given to the geometrical interpretation of the obtained results.We show that when network energy is the primary concern, D2Dmode is preferable in a large portion of the cell. When the deviceenergy consumption is most important, on the other hand, thearea where D2D mode is preferable shrinks and becomes close tocircular. Finally, we investigate how network parameters affectthe range where direct communication is preferred.

  • 7.
    Della Penda, Demia
    et al.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Nomikos, Nikolaos
    Charalambous, Themistoklis
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Minimum Power Scheduling under Rician Fading in Full-Duplex Relay-Assisted D2D Communication2017In: 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings, IEEE , 2017Conference paper (Refereed)
    Abstract [en]

    In cellular systems, the combination of Device-to-Device (D2D) communication and relaying is an efficient means for improving network coverage and transmissions quality without additional infrastructure deployment. It enables communication between user pairs in situations when both their direct D2D transmission and the traditional communication via the base station experience poor channel quality. In this paper, we propose a joint relaying-operation selection and power-allocation scheme, herein called HyD2D, for relay-assisted D2D communication in Rician fading environment. The target is to choose the set of communication links that minimizes the power consumption, while ensuring a minimum success probability. To overcome the nonconvexity of the outage probability constraints under Rician fading, we use the concept of coherent-measure-of-risk from the field of finance. We therefore obtain a linear programming formulation that we can efficiently solve. Simulations show that HyD2D selects the most energy-efficient relaying operation that satisfies the success probability requirement, while leveraging only statistical channel state information.

  • 8.
    Della Penda, Demia
    et al.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Risuleo, Riccardo Sven
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Valenzuela, Patricio E.
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Johansson, Mikael
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Optimal Power Control for D2D Communications under Rician Fading: a Risk Theoretical Approach2017In: 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper (Refereed)
    Abstract [en]

    Device-to-device communication is a technology that allows users in close proximity to establish a direct communication link instead of passing through the base station. Because direct communications are likely to have a strong line-of-sight component in the received signal, it is reasonable to model the direct channel with Rician fading. In this paper, we propose a power-control scheme for device-to-device communications on a shared channel. Our allocation minimizes the total power consumption while limiting the link outage probability due to Rician fast fading. By leveraging the concept of conditional-value-at-risk from the field of finance, we obtain a linear programming formulation which can be efficiently solved. Through simulation results we show the benefit of the proposed power allocation compared to a deterministic power control that does not account for the random channel variations. Moreover, we provide insights into how the network topology and the parameter settings affect the performance and feasibility of the power allocation.

1 - 8 of 8
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