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

  • Joint Mode Selection and Spectrum Partitioning for Device-To-Device Communication: A Dynamic Stackelberg Game
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Kun Zhu, Ekram Hossain
    Abstract:

    Device-To-Device (D2D) Communication technology is a promising add-on component for future wireless networks to provide local area services with increased spectrum efficiency and improved user experience. Three modes (i.e., cellular mode, reuse mode, and dedicated mode) can be used for D2D Communication. A potential D2D user equipment (UE) can select a Communication mode and dynamically adapt the mode selection according to the performance and the cost. This is referred to as the user-controlled mode selection problem. Also, a base station (BS) needs to reserve a spectrum band for the dedicated mode of operation, which we refer to as spectrum partitioning. The optimal spectrum partitioning needs to consider the utility of the BS that depends on the distribution of the users' mode selection, which, in turn, is governed by the spectrum partitioning. To jointly address the problems of spectrum partitioning and user-controlled mode selection (which are cyclically dependent on each other), we propose a dynamic Stackelberg game framework in which the BS and the potential D2D UEs act as the leader and the followers, respectively. Specifically, the adaptive mode selection of potential D2D UEs is formulated as a follower evolutionary game, and an evolutionary stable strategy is considered to be the solution. The dynamic control of spectrum partitioning by the BS is formulated as a leader optimal control problem. We also extend the formulation by considering information delays in control and state. Numerical analysis is performed to evaluate the effectiveness of the proposed framework, which shows that although the mode selection is performed in a distributed and user-controlled manner, the dynamic spectrum partitioning can be viewed as an effective incentive mechanism to drive the user distribution close to the optimal one.

  • resource allocation under channel uncertainties for relay aided device to device Communication underlaying lte a cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the chance constraint approach to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

  • 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.

  • Resource allocation under channel uncertainties for relay-aided Device-To-Device Communication underlaying LTE-A cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the \textit{chance constraint approach} to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

  • Distributed resource allocation for relay-aided Device-To-Device Communication: A message passing approach
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain
    Abstract:

    Device-To-Device (D2D) Communication underlaying cellular wireless networks is a promising concept to improve user experience and resource utilization by allowing direct transmission between two cellular devices. In this paper, performance of network-assisted D2D Communication is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a distributed solution for resource allocation with a view to maximizing network sum-rate. An optimization problem is formulated for radio resource allocation at the relays. The objective is to maximize end-to-end rate as well as satisfy the data rate requirements for cellular and D2D user equipments under total power constraint. Due to intractability of the resource allocation problem, we propose a solution approach using message passing technique where each user equipment sends and receives information messages to/from the relay node in an iterative manner with the goal of achieving an optimal allocation. Therefore, the computational effort is distributed among all the user equipments and the corresponding relay node. The convergence and optimality of the proposed scheme are proved and a possible distributed implementation of the scheme in practical LTE-Advanced networks is outlined. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance with a small increase in end-to-end delay when compared to direct Communication between D2D peers.

Monowar Hasan - One of the best experts on this subject based on the ideXlab platform.

  • resource allocation under channel uncertainties for relay aided device to device Communication underlaying lte a cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the chance constraint approach to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

  • Resource allocation under channel uncertainties for relay-aided Device-To-Device Communication underlaying LTE-A cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the \textit{chance constraint approach} to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

  • Distributed resource allocation for relay-aided Device-To-Device Communication: A message passing approach
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain
    Abstract:

    Device-To-Device (D2D) Communication underlaying cellular wireless networks is a promising concept to improve user experience and resource utilization by allowing direct transmission between two cellular devices. In this paper, performance of network-assisted D2D Communication is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a distributed solution for resource allocation with a view to maximizing network sum-rate. An optimization problem is formulated for radio resource allocation at the relays. The objective is to maximize end-to-end rate as well as satisfy the data rate requirements for cellular and D2D user equipments under total power constraint. Due to intractability of the resource allocation problem, we propose a solution approach using message passing technique where each user equipment sends and receives information messages to/from the relay node in an iterative manner with the goal of achieving an optimal allocation. Therefore, the computational effort is distributed among all the user equipments and the corresponding relay node. The convergence and optimality of the proposed scheme are proved and a possible distributed implementation of the scheme in practical LTE-Advanced networks is outlined. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance with a small increase in end-to-end delay when compared to direct Communication between D2D peers.

Klaus Doppler - One of the best experts on this subject based on the ideXlab platform.

  • Resource Sharing Optimization for Device-To-Device Communication Underlaying Cellular Networks
    IEEE Transactions on Wireless Communications, 2011
    Co-Authors: Klaus Doppler, Cássio B. Ribeiro, Olav Tirkkonen
    Abstract:

    We consider Device-To-Device (D2D) Communication underlaying cellular networks to improve local services. The system aims to optimize the throughput over the shared resources while fulfilling prioritized cellular service constraints. Optimum resource allocation and power control between the cellular and D2D connections that share the same resources are analyzed for different resource sharing modes. Optimality is discussed under practical constraints such as minimum and maximum spectral efficiency restrictions, and maximum transmit power or energy limitation. It is found that in most of the considered cases, optimum power control and resource allocation for the considered resource sharing modes can either be solved in closed form or searched from a finite set. The performance of the D2D underlay system is evaluated in both a single-cell scenario, and a Manhattan grid environment with multiple WINNER II A1 office buildings. The results show that by proper resource management, D2D Communication can effectively improve the total throughput without generating harmful interference to cellular networks.

  • Device-To-Device Communication as an underlay to LTE-advanced networks
    IEEE Communications Magazine, 2009
    Co-Authors: Klaus Doppler, Cássio B. Ribeiro, Carl Wijting, Mika Rinne, Klaus Hug
    Abstract:

    In this article Device-To-Device (D2D) Communication underlaying a 3GPP LTE-Advanced cellular network is studied as an enabler of local services with limited interference impact on the primary cellular network. The approach of the study is a tight integration of D2D Communication into an LTE-Advanced network. In particular, we propose mechanisms for D2D Communication session setup and management involving procedures in the LTE System Architecture Evolution. Moreover, we present numerical results based on system simulations in an interference limited local area scenario. Our results show that D2D Communication can increase the total throughput observed in the cell area.

  • Power optimization of Device-To-Device Communication underlaying cellular Communication
    IEEE International Conference on Communications, 2009
    Co-Authors: Chia-hao Yu, C??ssio Ribeiro, Klaus Doppler, Olav Tirkkonen, Cassio Ribeiro
    Abstract:

    We address resource sharing of the cellular network and a Device-To-Device (D2D) underlay Communication assuming that the cellular network has control over the transmit power and the radio resources of D2D links. We show that by proper power control, the interference between two services can be coordinated to benefit the overall performance. In addition, we consider a scenario with prioritized cellular Communication and an upper limit on the maximum transmission rate of all links. We derive the optimum power allocation for the considered resource sharing modes. The results show that cellular service can be effectively guaranteed while having a comparable sum rate with a none power control case in most of the cell area.

  • methods apparatuses and computer program products for providing coordination of device to device Communication
    2008
    Co-Authors: Klaus Doppler, Cassio Ribeiro, Carl Wijting, Mika Rinne
    Abstract:

    An apparatus for providing coordination of device to device Communication may include a processor. The processor is configured to communicate a request for a resource allocation to a network Communication node (300). The resource allocation is related to resources usable for device to device Communication between a first terminal communicating the request and a second terminal. The processor is further configured to receive a resource allocation including an amount and duration of resources to be used for the device to device Communication in response to the request (310), and utilize the resource allocation for device to device Communication with the second terminal (320).

Dong In Kim - One of the best experts on this subject based on the ideXlab platform.

  • resource allocation under channel uncertainties for relay aided device to device Communication underlaying lte a cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the chance constraint approach to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

  • Resource allocation under channel uncertainties for relay-aided Device-To-Device Communication underlaying LTE-A cellular networks
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: Monowar Hasan, Ekram Hossain, Dong In Kim
    Abstract:

    Device-To-Device (D2D) Communication in cellular networks allows direct transmission between two cellular devices with local Communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D Communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the \textit{chance constraint approach} to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D Communication significantly improves network performance when compared to direct Communication between D2D peers.

Mohamedslim Alouini - One of the best experts on this subject based on the ideXlab platform.

  • delay reduction in multi hop device to device Communication using network coding
    IEEE Transactions on Wireless Communications, 2018
    Co-Authors: Ahmed Douik, Sameh Sorour, Hong-chuan Yang, Tareq Y Alnaffouri, Mohamedslim Alouini
    Abstract:

    This paper considers the problem of reducing the broadcast decoding delay of wireless networks using instantly decodable network coding- based Device-To-Device Communications. In contrast with the previous works that assume a fully connected network, this paper investigates a partially connected configuration in which multiple devices are allowed to transmit simultaneously. To that end, different events occurring at each device are identified so as to derive an expression for the probability distribution of the decoding delay. Afterward, the joint optimization problem over the set of transmitting devices and packet combination of each is formulated. The optimal solution of the joint optimization problem is derived using a graph-theoretic approach by introducing the cooperation graph in which each vertex represents a transmitting device with a weight translating its contribution to the network. This paper solves the problem by reformulating it as a maximum weight clique problem which can efficiently be solved. Numerical results suggest that the proposed solution outperforms state-of-the-art schemes and provides significant gain, especially for poorly connected networks.

  • Delay reduction in multi-hop Device-To-Device Communication using network coding
    IEEE Transactions on Wireless Communications, 2018
    Co-Authors: Ahmed Douik, Sameh Sorour, Tareq Y. Al-naffouri, Hong-chuan Yang, Mohamedslim Alouini
    Abstract:

    This paper considers the problem of reducing the broadcast decoding delay of wireless networks using instantly decodable network coding (IDNC) based Device-To-Device (D2D) Communications. In a D2D configuration, devices in the network can help hasten the recovery of the lost packets of other devices in their transmission range by sending network coded packets. Unlike previous works that assumed fully connected network, this paper proposes a partially connected configuration in which the decision should be made not only on the packet combinations but also on the set of transmitting devices. First, the different events occurring at each device are identified so as to derive an expression for the probability distribution of the decoding delay. The joint optimization problem over the set of transmitting devices and the packet combinations of each is, then, formulated. The optimal solution of the joint optimization problem is derived using a graph theory approach by introducing the cooperation graph and reformulating the problem as a maximum weight clique problem in which the weight of each vertex is the contribution of the device identified by the vertex. Through extensive simulations, the decoding delay experienced by all devices in the Point to Multi-Point (PMP) configuration, the fully connected D2D (FC-D2D) configuration and the more practical partially connected D2D (PC-D2D) configuration are compared. Numerical results suggest that the PC-D2D outperforms the FC-D2D and provides appreciable gain especially for poorly connected networks.

  • delay reduction in multi hop device to device Communication using network coding
    2015 International Symposium on Network Coding (NetCod), 2015
    Co-Authors: Ahmed Douik, Sameh Sorour, Hong-chuan Yang, Tareq Y Alnaffouri, Mohamedslim Alouini
    Abstract:

    This paper considers the problem of reducing the broadcast delay of wireless networks using instantly decodable network coding (IDNC) based Device-To-Device (D2D) Communications. In D2D-enabled networks, devices help hasten the recovery of the lost packets of devices in their transmission range by sending network coded packets. To solve the problem, the different events occurring at each device are identified so as to derive an expression for the probability distribution of the decoding delay. The joint optimization problem over the set of transmitting devices and the packet combinations of each is formulated. Due to the high complexity of finding the optimal solution, this paper focuses on cooperation without interference between the transmitting users. The optimal solution, in such interference-less scenario, is expressed using a graph theory approach by introducing the cooperation graph. Extensive simulations compare the decoding delay experienced in the Point to Multi-Point (PMP), the fully connected D2D (FC-D2D) and the more practical partially connected D2D (PC-D2D) configurations and suggest that the PC-D2D outperforms the FC-D2D in all situations and provides an enormous gain for poorly connected networks.