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This paper presents a fast and efficient transmission method for use in device-to-device (D2D)-assisted cellular networks. The proposed method is designed to be able to achieve short service time and reduce the number of blocked users subject to the condition that all users' transmission rates are satisfactory. Simulation results show that the proposed method has a much better average data rate and...
The paper provides an overview of various techniques used to avoid intercell interference (ICI) in MIMO OFDMA systems. ICI occurs in a cellular communication system when adjacent cells use the same radio resources, i.e. frequency reuse of unity. This interference experienced is maximum by the edge users. The edge users suffer from severe ICI leading to throughput degradation. Hence edge users contribute...
In cloud computing resource allocation should be elastic, within the sense that it must have modification accurate and quickly based on the demand. In cloud computing, Virtual machine allocates the resource for user's needs. Some time workload of service, increase rapidly, the existing approaches solve aggressive resource provisioning tasks using SPRNT, but still some challenges occur in VM allocation...
We consider the resource allocation (RA) optimization problem in shared spectrum access communications system, and propose efficient solutions for both inter-operator and intra-operator RA optimization problems. For inter-operator RA optimization, we present a spectrum sharing framework that primarily focuses on fairness issues for the spectrum sharing operators, by taking care of the sharing policy...
Inis paper proposes the improved method 01 resource block group allocation to user's equipment (UE). This method resolves the disadvantage of Max C/I ratio method when single user station with highest SNR may occupy the channel for a long time.
Carrier Aggregation (CA) is one of the main technologies used in Long Term Evolution Advanced (LTE-A) networks. It helps to increase bandwidth up to 100 MHz and downlink speed up to 3Gbps. Research work for CA based LTE-A network have focused on component carrier (CC) selection and packet scheduling. Most of the earlier work on resource scheduling has considered CC selection, resource allocation and...
In order to meet the explosive traffic demand, the capacity of Long Term Evolution(LTE) system needs to be further expanded, and one choice is to integrate unlicensed carrier into the overall LTE system. However, unlicensed band might be shared by other communication systems like Wi-Fi and radar, so the available bandwidth for each user could not be guaranteed. We propose a carrier aggregation resource...
In this paper, we investigate a preference-aware multicast mechanism in active array aided LTE (Long Term Evolution) networks. An active antenna system can direct vertical beams in different horizontal and vertical directions, so the amount of energy delivered is more concentrated on the target users. Employing the active array, each multicast group is provided with an individual beam with specific...
A computational grid is a high performance computing system consisting of computer resources distributed over multiple locations and connected via computer network. One of many possible types of applications executed in computational grids is known as workflow applications. These applications consist of multiple computational tasks, which are precedence related, and usually process huge data files...
Carrier Aggregation (CA) is a key functionality for next generation wireless communication systems that enables operators to create larger virtual carrier bandwidths for data hungry applications by aggregating available Component Carriers (CCs). In this paper, the Resource Allocation (RA) optimisation problem in Orthogonal Frequency Division Multiplexing (OFDM) based wireless systems is studied with...
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...
Providing resource allocation with performance predictability guarantees is increasingly important in cloud platforms, especially for data-intensive applications, for which performance depends greatly on the available rates of data transfer between the various computing/storage hosts underlying the virtualized resources assigned to the application. Existing resource allocation solutions either assume...
This paper focuses on the resource allocation problem in the context of Cloud Computing. More specifically, this work considers the problem of optimizing the mapping cost of Infrastructure as Cloud Service (IaaS) onto a Networked Edge Data-Centers (DCs) with respect to Quality of Service (QoS) requirements. This work proposes to dynamically partition the networked DCs resources over IaaS requests...
:In today scenario, with increasing number of user fair Resource Allocation has become a problem. The purpose of Resource Allocation is to allocate sub-carrier and power to users to meet their service requirements while maintaining fairness among users and maximize resources utilization. In this paper resources are allocated in such a way to maximize the throughput while minimize the power consumption.
This paper presents a radio resource block allocation optimization problem for cellular communications systems with users running delay-tolerant and real-time applications, generating elastic and inelastic traffic on the network and being modelled as logarithmic and sigmoidal utilities respectively. The optimization is cast under a utility proportional fairness framework aiming at maximizing the cellular...
An algorithm to adapt dynamically virtual networks to additional resource requirements is proposed and evaluated. The optimization is achieved while balancing load and avoiding fragmentation in the infrastructure (often referred as substrate or physical network). The algorithm focuses on virtual nodes requiring more resources by extending their allocations and maintaining their connectivity (even...
This paper proposes a composition-based resource allocation approach to cloud infrastructure-as-a-service (IaaS). A number of previous proposals have addressed resource allocation for IaaS services with bandwidth guarantee as the main obstacle to accessing datacenter-based cloud resources. Less focus has been put on utilization of hosting resources, i.e. computing and storage. Shortcomings with these...
Voice over LTE (VoLTE), adopted as a standard technology by 3GPP is confronted by a number of challenges due to different Quality-of-Service (QoS) requirements as well as the Inter-Cell Interference (ICI) problem. In this paper, a novel Resource Allocation (RA) strategy for improving VoIP capacity in LTE uplink system is proposed. Our strategy improves the VoLTE performance simply by prioritizing...
We present a joint resource allocation (RA) and admission control (AC) framework for an orthogonal frequency-division multiple access (OFDMA)-based cellular network composed of a macrocell overlaid by small cells. In this framework, the resource allocation problems for both the macrocell and small cells are formulated as optimization problems. The macrocell RA problem is aware of the existence of...
As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted...
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