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Cognitive radio is able to effectively increase spectral utilization. However, cooperative spectrum sensing gives malicious users chances to interfere with its decision processes. If a mobile secondary user's energy detection results become unreliable, conventional trust-value based cooperative spectrum sensing algorithms, which are used to resist malicious attacks, cannot distinguish whether it's...
Virtually interconnected objects with unique identifiers and computing, communication and sensing functionalities form the Internet of Things (IoT) architecture. In the cloud-centric IoT concept, IoT objects can provide sensing services based on a cloud-inspired business model. Smart mobile devices have a great potential to improve the performance of IoT applications by enabling access to their built-in...
Video streaming is the most popular application in today's mobile Internet and its growing demands and popularity put more and more load on cellular networks. In a recent trend to mitigate the cellular load, followed by many providers, users are offered to offload mobile connections to WiFi hotspots, which are predominately deployed in urban environments. In this work, we conduct a simulative performance...
The radio access networks (RANs) need to support massive and diverse data traffic with limited spectrum and energy. To cope with this challenge, software-defined radio access network (SDRAN) architectures have been proposed to renovate the RANs. However, current researches lack the design and evaluation of network protocols. In this paper, we address this problem by presenting the protocol design...
To meet the challenge of the ever-growing traffic volume in current wireless communications, ultra-dense network (UDN) deployment with high system capacity has attracted wide attention in recent years. However, existing researches on UDN mainly focus on system throughput while ignore energy efficiency (EE). Therefore, we will analyze the UDN performance including not only system throughput but also...
In future 5G mobile networks, radio access network functions will be virtualized and implemented on centralized cloud platforms. In principle, this allows for more advanced algorithms of joint processing and offers the ability to balance the computational load. However, the shift of functionality on a cloud-platform also imposes challenges on the design of the applied algorithms. In this paper, we...
In this paper, we look at reusing existing packet-based network (e.g. Ethernet) to possibly decrease deployment costs of fronthaul Cloud Radio Access Network (C-RAN) network and cost of Baseband Unit (BBU) resources. The challenge of this solution is that it requires mobile traffic (until now transmitted over synchronous protocols) to traverse the asynchronous Ethernet without losing synchronization...
Cloud radio networks employ coordinated transmission among base stations (BSs) to reduce the interference effects. The practical limitations in implementing coordination results in suboptimal systems with limited performance. In this paper, we analyze the performance of a cloud network with clustering, where geographically close BSs form a clustered cloud. Coverage probability and rate distributions...
The dynamic stochastic resource optimization problem in heterogeneous cloud radio access networks (H-CRANs) is researched in this paper, characterizing the cooperative beamforming with fronthaul capacity and queue stability constraints. To make the average energy efficiency (EE) of remote radio heads (RRHs) arbitrarily close to the optimum and maintain system queue stability, the EE optimization problem...
The incorporation of dynamic voltage scaling (DVS) technology into computation offloading could further reduce energy consumption of smart mobile device (SMD), which has not been fully studied. In this paper, this issue is formulated with jointly considering computational speed of SMD, transmit power of SMD, and the partial offloading, resulting in a nonconvex problem. To circumvent such a problem,...
With the rapid growth of the Internet, traditional broadcasters are under severe pressure from their competitors. In order to enhance their competitiveness, broadcasters need to provide not only traditional linear broadcast services but also new tri-play services. Traditional terrestrial broadcast systems need to be upgraded to next generation broadcast wireless (NGB-W) systems, where terrestrial...
Cognitive Radio (CR) is a promising technology for the flexible spectrum utilization in wireless communications. Very recently, there has been increasing interest in the applicability of CR techniques in satellite communication systems. This paper investigates the impact of the propagation phenomena in a co-existence scenario of satellite uplink Fixed Satellite Service (FSS) and terrestrial Fixed...
Ensuring seamless coverage accounts for the lion's share of the energy consumed in a mobile network. Overlapping coverage of three to five mobile network operators (MNOs) results in enormous amount of energy waste which is avoidable. The traffic demands of the mobile networks vary significantly throughout the day. As the offered load for all networks are not same at a given time and the differences...
Endowed with context-awareness and proactive capabilities, caching users' content locally at the edge of the network is able to cope with increasing data traffic demand in 5G wireless networks. In this work, we focus on the energy consumption aspects of cache-enabled wireless cellular networks, specifically in terms of area power consumption (APC) and energy efficiency (EE). We assume that both base...
A joint energy and spectral efficient power allocation strategy for a point-to-point multi-carrier link, subject to a delay-outage probability constraint, is proposed in this paper. Since the two objectives, namely, link-layer energy efficiency (EE) and effective capacity (EC), conflict with each other, the tradeoff problem falls into the scope of multi-objective optimization problems (MOP). With...
Traditional mobile radio communications system designs are largely based on the principles of engineering an independent radio link for each user. Recent developments with small cells and multiple antennas have further improved the capacity of the radio channel through high density frequency reuse. Such techniques achieve an increase in capacity (i.e. number of users and their traffic) that is linearly...
In a device-to-device (D2D) communication underlaying cellular network, user equipments are required to operate cooperatively and unselfishly to transmit data as relays. However, most users behave in a more or less selfish way, which makes user selfishness a key factor that affects the performance of the whole communication system. We focus on the impact of node selfishness on D2D communications....
Recently, there has been a tremendous increase in demand for mobile data driven by the wide-spread usage of smartphone like devices. Besides the efforts of studies that propose ways for operators to handle this huge growth, there is also an emerging research area of analyzing this new type of user data. In this paper, we perform an analysis on mobile user data to understand general aggregated user...
In this paper, we propose a traffic engineering-based adaptive approach to dynamically reconfigure the computing-plus-communication resources of networked data centers which support in real-time the service requirements of mobile clients connected by TCP/IP energy-limited wireless backbones. The goal is to maximize the energy-efficiency, while meeting hard QoS requirements on the delivered transmission...
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...
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