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Smartphones and other devices connected to a mobile network typically create billions of measurement samples every day. Those measurements are currently used for instantaneous resource allocation and link adaptation. There is much room for using the measurements also for network optimization with big data analytics. The measurements give valuable insight into the service quality experienced by devices...
Millimeter-wave (mm-wave) communication is a promising technology for supporting extremely high data rates in the next generation wireless networks. Mm-wave signals experience high path loss and directional transmission is required to compensate the severe channel attenuation. The special characteristics of the mm-wave propagation arise opportunities as well as challenges for the network resource...
Ultra dense networks and device-to-device communications are expected to play a major role in 5G networks to meet tremendous traffic requirements. In our work, we address traffic offloading in dense device-to-device cooperative heterogeneous networks with focus on use cases where a very large number of users request simultaneously common streaming content from a remote server with quality of service...
We study the problem of serving randomly arriving and delay-sensitive traffic over a multi-channel communication system with time-varying channel states and unknown statistics. This problem deviates from the classical exploration-exploitation setting in that the design and analysis must accommodate the dynamics of packet availability and urgency as well as the cost of each channel use at the time...
In this work we show that random-access protocols, which are used in a range of networks (e.g. WiFi, power line communications and Internet of Things), may experience a high-throughput, extremely long (of the order of hours) transitory phase. This behaviour is not highlighted by common analysis techniques and experimental evaluations, which can lead to incorrect prediction of network performance....
In this paper, we study the performance of initial access beamforming schemes in the cases with large but finite number of transmit antennas and users. Particularly, we develop an efficient beamforming scheme using genetic algorithms. Moreover, taking the millimeter wave communication characteristics and different metrics into account, we investigate the effect of various parameters such as number...
The ongoing evolution of mobile wireless communications has resulted in the vision of a multi-radio heterogeneous network (HetNet) that comprises cells of different scales controlled by various radio access technologies (RATs). These emerging architectures call for more advanced methods of cross-RAT radio resource allocation, which are the primary focus of this article. In this paper, based on network...
With the rapid development of smart handled devices and mobile internet services, mobile network operators (MNOs) have experienced an explosive growth in traffic demand in cellular access networks. Intelligently offloading traffic through small-cell networks has been widely considered as an efficient approach for MNOs to relieve traffic congestion in cellular access networks and accommodate more mobile...
Heterogeneous cellular networks have emerged as the primary solution for overwhelming traffic demands. This study addresses the architecture optimization of multitier open-access downlink heterogeneous cellular networks. A distinguishing feature of this work is that the transmission requirements of mobile users and the profit requirements of operators are all considered. Spatial throughput is maximized...
This paper aims at providing a green battery solution for practical wireless communication systems. First, we discuss the demands and latest developments of wireless energy transfer (WET) in relevant industries. Second, we propose a user- centric energy-efficient approach in wireless powered communication networks (WPCNs), where mobile users first harvest energy from a dedicated power station and...
This paper considers wireless powered communication networks (WPCNs), where mobile users first harvest energy from a dedicated power station and then communicate with an information receiving station. We aim to maximize the weighted sum of user-centric energy efficiency (WSUEE) via joint time allocation and power control in both downlink and uplink. The proposed approach provides the flexibility of...
In this paper, we consider energy harvesting cognitive radio networks (CRNs) where each secondary user (SU) has no fixed power supplies and extract energy only via harvesting energy by Radio Frequency (RF) provided by the control center (CC). Cooperative spectrum sensing is employed to improve the sensing performance. The spectrum sensing policy should maximize the probability of discovering and utilizing...
Cloud-RAN is a novel architecture for LTE networks, where antennas with only limited processing capabilities are deployed in the field and all baseband and higher layer processing of the base stations is pooled in a central office. It has been shown that the centralization leads to multiplexing gains for signal processing hardware. When a system is able to efficiently cope with overload of the compute...
In this paper, we assess the performance gains of mobility on the downlink of cellular data networks. These gains are only due to the elastic nature of traffic and thus observed even under a blind, fair scheduling scheme: data are more likely transmitted when users are close to the base stations, in good radio conditions. This phenomenon is further amplified by opportunistic scheduling schemes that...
As a part of Fourth Generation (4G) wireless communication system, a user can associate with any radio access technology (RAT) when there are multiple RATs available and can move seamlessly among them. To handle the explosive growth of traffic in cellular network, the idea of mobile data traffic offloading to Wireless Fidelity (WiFi) has been proposed. In this paper, we focus on mobile data offload...
Heterogeneous cellular networks have emerged to be the primary solution for overwhelming traffic demands. This study addresses the architecture optimization of multi-tier open access downlink heterogeneous cellular networks to achieve the maximum network spatial throughput under practical constraints on the network deployment cost and traffic loads of individual tiers. In particular, with the use...
Access Point (AP) optimization is one of the most important components in indoor Wireless Local Area Network (WLAN) localization technique since the AP number and locations have significant impact on the variations of Received Signal Strength (RSS) in target environment. Different from the conventional AP optimization approaches, we propose to use the concept of adaptive channel power allocation to...
In contrary to conventional gaming-on-demand solution, cognitive cloud gaming platform facilitates gaming component migration from the cloud server to the players' terminal, a novel flexible solution to provide Gaming as a Service. In this work, we model the component-based game and investigate the capacity of intelligent resource management for different optimization targets, including cloud resource...
Typically, wireless network performance decreases in high traffic regimes, e. g., at traffic hot spots and peak hours, since a large number of active users have to share limited radio resources. From a network perspective, even congestion may occur in some cells, which may lead to drastic deterioration of user throughputs. As a consequence, network operators employ admission control in their base...
This paper determines the cost/revenue performance of a mobile communication system in an IMT-Advanced scenario with integrated Common Radio Resource Management (iCRRM). The iCRRM performs classic CRRM functionalities jointly with Spectrum Aggregation (SA), being able to switch users between non-contiguous frequency bands. The SA scheduling is obtained with an optimized General Multi-Band Scheduling...
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