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Due to the expansion of the unmanned aerial vehicle (UAV) market, there is the issue of spectrum scarcity for unmanned aerial system (UAS). Thus, it needs to allocate the resource effectively in the limited bandwidth considering the network environment. In this paper, we propose the frame structure and the resource allocation algorithm which can maximize the network throughput as well as satisfy the...
We propose a quality of service (QoS) aware resource allocation algorithm for virtual machines (VMs) in cloud servers. The proposed scheme consists of two parts: a service profiler that describes the relationship between QoS and resource utilization, and a resource controller that determines an appropriate VM resource configuration. The performance of the proposed VM resource allocation scheme is...
Network Virtualization is one of the most promising technologies for future networking. Network Virtualization allows multiple virtual networks to coexist on same shared physical infrastructure simultaneously. One of the crucial keys in Network Virtualization is Virtual Network Embedding, which provides a method to allocate physical substrate resource to virtual network requests. In this paper, we...
This paper proposes a proactive optimal resource allocation scheme for elastic security Virtualized Network Functions (VNFs) in the Service Function Chaining on the Software Defined Network Function Virtualization (SDNFV-enabled) cloud environment. We firstly analyze our system model, and transform them into M/M/1/∞ and M/M/k queueing model. Then we define mathematical requirements by analyzing the...
This paper proposes QoS-constrained energy-efficiency (EE) maximization scheme in a multi-antenna wireless powered network. Specifically, considering full CSI at the users, we optimize energy transmit covariance at the power transmitter, the power allocation at the users and the time allocation for energy and information transfer. The EE optimization problem is first converted into its equivalent...
In this paper, we propose a framework to jointly optimize user association and power control for the uplink cognitive small cell network (CSN). In the considered CSN, small cell base stations (SBSs) are deployed to serve a set of small cell user equipments (SUEs) by sharing the same licensed spectrum with a macrocell base station. The problem of joint user association and power allocation is formulated...
Cognitive femotcell networks can opportunistically access the licensed spectrum to enhance spectrum utilization. However, interference management plays a crucial role to effectively utilize the spectrum. In this paper, we consider the joint resource allocation and power control problem for an uplink transmission for a network consisting of a licensed macrocell and multiple cognitive femtocells. Furthermore,...
Reverse pricing has been recognized as an effective tool to handle demand uncertainty in the travel industry (e.g., airlines and hotels). To investigate its viability for communication networks, we study the practical limitations of (operator-driven) time-dependent pricing that has been recently introduced, taking into account demand uncertainty. Compared to (operator-driven) time-dependent pricing,...
Recently, cognitive radio technology has been a lot of attention to improve bandwidth efficiency. In this paper, we propose an adaptive bandwidth management scheme based on the mechanism design and negotiation theory. According to the user`s utility, QoS and trust value, the proposed scheme allocates total resources while dynamically controlling the selfish users. In addition, proposed scheme is able...
In cellular networks, proximity users may communicate directly without going through the infrastructure such as the base station (BS), which is device-to-device (D2D) communications, and it can improve spectral efficiency. However, enabling D2D communications in a cellular network poses two major challenges. First, the BS is suffered from signaling overhead. Second, D2D transmitters may cause harmful...
In order to accommodate emerging mobile data traffic, millimeter-wave band is considered for 5th generation (5G) mobile communication systems. However, the millimeter-wave signal has poor propagation characteristics compared with those for current mobile communication systems. Therefore, beamforming is essential to utilize millimeter-wave band for 5G mobile communication systems. Furthermore, massive...
Adaptive Modulation and Coding (AMC) is one of key technologies in 4G system. Band AMC technique enables the Orthogonal Frequency-Division Multiple Access (OFDMA) system to achieve their maximum throughput by efficient utilization of wireless channel characteristics. Band AMC with the adjacent subcarrier allocation specified in 4G system (Worldwide Interoperability for Microwave Access (WiMAX) standard)...
The Long Term Evolution (LTE) broadcast is a promising solution to cope with exponentially increasing user traffic by broadcasting common user requests over the same frequency channels. In this paper, we propose a novel network framework provisioning broadcast and unicast services simultaneously. For each serving file to users, a cellular base station determines either to broadcast or unicast the...
In this paper, we propose an inter-cell interference management scheme using a multi-cell SRN (Shared Relay Node) in order to avoid inter-cell interference and to increase the cell throughput in 3GPP LTE (3rd Generation Partnership Project Long Term Evolution)-Advanced networks. Recently, the CoMP (Coordinated Multi-Point transmission/reception) scheme has received growing attention as a promising...
This paper proposes a resource allocation algorithm for multicasting video streams to users with diverse screen sizes. In order to gain from multicasting, quality of the channel has to be sufficiently high for the all users, and probability that such channel happens become lower as the number of the users grows. Therefore, this paper considers orthogonal frequency division multiple access (OFDMA)...
Recently, dynamic resource allocation for multimedia multicast services has enjoyed tremendous research attention due to its potential to effectively utilize scarce system resources and support demands from multiple users with varying channel characteristics. Different single-rate and multi-rate transmission techniques have been proposed for multicast dynamic resource allocation (MDRA) algorithms...
An inter-cell interference (ICI) problem between co-channel BSs has been one of main challenging research issues in downlink cellular networks. Fractional frequency reuse (FFR) and BS cooperation are useful techniques to manage the ICI problem. By combining the BS cooperation and FFR techniques, we propose to determine an efficient cooperation mode and the type of subchannels, i.e., reusable subchannels...
This paper deals with the resource allocation task for the uplink of OFDMA-based cognitive radio (CR) systems. A weighted sum-rate maximization problem is formulated to optimize the subcarrier assignment as well as the power loading per CR user, while protecting the primary user (PU) systems. Since the CR-to-PU channels may not be accurately acquired, the PU interference constraint is cast as a chance...
A weighted sum-rate maximization problem is considered for an access point (AP) allocating resources to wireless cognitive radios (CRs) communicating using orthogonal frequency-division multiple access (OFDMA). To protect the incumbent primary user (PU) system operating over the same frequency band, the interference inflicted to the PU receiver must be regulated. Since the channel gain estimates from...
We propose a block scheduling (BLS) scheme which can significantly reduce signaling overhead to accommodate more users with low-rate, real-time traffic. The basic concept of the BLS scheme is to allocate the resource to each user by using resource blocks which are a basic unit of resource allocation. Since the performance of the BLS scheme depends on traffic models, we consider two types of traffic:...
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