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This paper mainly focuses on developing a joint cloud and wireless resource allocation algorithm based on evolutionary game (JRA-EG) considering mobile terminals' energy consumption and time delay as well as monetary cost in mobile edge computing environment. The mobile terminals (MTs) in different service areas form different populations. In addition, the competition among populations of MTs in different...
Localization technologies in wireless sensor networks have been suffering from great energy consumption problem due to the energy-constrained characteristic of the networks. Existing power allocating solutions are mostly distributed for the lack of global network knowledge. In this paper, we investigate localization algorithm with the support of software-defined network (SDN) technique and propose...
One fundamental issue in supporting multi-cell ultrahigh throughput wireless local area networks (WLAN) is how to coordinate inter-cell interference. In this paper, we present a novel max-min fair resource allocation scheme to increase system capacity and improve the communication quality of cell-edge users. We assume the users within one cell operate on orthogonal frequency channels, while users...
In this paper, we study optimal transmission scheduling and congestion control in multi-hop device-to-device (D2D) communications underlaying cellular networks. The optimization is not only based on the cellular and D2D link qualities but it also takes the interference situation for each possible mode and the quality of service (QoS) requirements of each user into account. The problem is formulated...
In this paper, a resource allocation algorithm is proposed for different quality of service (QoS) guarantee, fair transmission and high data rate in orthogonal frequency division multiple access (OFDMA) and wireless local area network (WLAN) integrated system. First, different QoS requirements are converted into different rate requests for simplifying the optimization problem. Second, the sub-channels...
In this paper, we propose an adaptive user scheduling and resource management algorithm for multiuser MIMO downlink systems with heterogeneous delay requirements, in order to not only maximize the system throughput but also maintain delay constraints as well. We adopt the concepts of effective capacity and effective bandwidth to illustrate the behaviors of different traffic characteristics such as...
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