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With the rapid growth of the cloud industry in recent years, energy consumption of warehouse-scale datacenters has become a major concern. Energy-aware Virtual Machine consolidation has proven to be one of the most effective solutions for tackling this problem. Among the sub-problems of VM consolidation, VM placement is the trickiest and can be treated as a bin packing problem which is NP-hard, hence,...
This paper investigates relay selection and subcarrier allocation in cooperative OFDMA systems where users with best-effort (BE) service and rate-constrained (RC) service coexist. We formulate the problem as a binary integer linear programming to maximize the network data rate with quality-of-service (QoS) requirements. A greedy algorithm is proposed for the degradation problem of only BE users and...
Long Term Evolution (LTE) users with high mobility often experience poor communication issues, such as call dropping and call blocking effects. These issues, which are resulted from the frequent handover, can be mitigated by a call admission control (CAC) algorithm. Located inside the base station (eNB), CAC algorithm is responsible for determining whether to accept or to reject incoming calls. In...
Cognitive radio (CR) is the current growing technology in wireless communication field and has increase the ability to use the frequency spectrum more properly. The main objective of cognitive radios is to sense the surrounding and use primary user's vacant spaces and allot them to the secondary users without interference each other. This paper presents the optimal solution and optimizes the Quality...
Device-to-Device (D2D) communication enables a directdata transmission between User Equipment (UE) without the relayby Base Station (BS). When D2D communication is employedunderlying the Long Term Evolution (LTE) cellular network, it canenhance the spectrum utilization, power-saving efficiency andnetwork capacity. However, it might also cause inter-interferenceswhich degrade the system performance...
A newly emerging technology which provides resources for the purpose of computation of resources which is based on the user demand is known as Cloud computing. This supply based on the demand for resources are scheduled on the basis of certain policies. In order to combat and solve the Virtual Machine (VM) scheduling problem in cloud computing, a new and unique Tabu Search (TS) resource based scheduling...
One of the more obvious ways to reduce the volume of data traffic on cellular networks is through the use of handover to fixed networks via WiFi and other radio channels. With the growing focus on emerging 5G concepts and technologies, there has been a corresponding focus on the functional mechanisms needed to achieve this handover in a timely fashion. Much less attention has been paid to the practicalities,...
In a device to device (D2D) communication underlaying cellular network, total system sum rate can be improved if cellular user equipments (UEs) and D2D pairs share resource blocks (RBs). We consider such an optimization problem where the objective is to maximize the total sum rate of the system while sharing RBs among cellular UEs and D2D pairs and maintaining some quality of service (QoS) requirements...
Today, Cloud Computing provides many technological oriented applications distributed over the internet. Cloud Computing facilitate tremendous changes in the IT world, to increases the maximum profits from this new platform. In IT industry everyday new applications coming up and increases the complexity of scheduling process. For this purpose, job scheduling plays a most important responsibility in...
Cloud computing has emerged as a new marketoriented business model for elucidating large-scale problems in heterogeneous distributed systems. It provides defended, rapid, beneficial data storage and computing power with the assistance of internet. Cloud provides on-demand services for different QoS requirements of different users. So, scheduling the services is wearying one. In this paper, we proposed...
This paper presents two novel heuristic algorithms for the design of wireless access networks (QoS-HWNDA-1, QoSHWNDA-2) adapted in the case of QoS networks, which is the prevalent situation in the evolution of 5G technology. Emphasis was given to the design of CDMA based wireless networks and Fixed Wireless networks considering QoS architectures. The objectives of these methods are first to place...
In this paper, Hybrid of Particle Swarm Optimization (PSO) and Neuro-Fuzzy (NF) has been proposed for improving Vertical Hand-off (VHO) decision for the Ubiquitous Heterogeneous Wireless Network (UHWN). The mobile users have made VHO decision based on data-rate, dwelling time and service type, residue energy and network connection time. To reduce the computational complexity, the pre-decision of VHO...
This paper considers the channel state information (CSI) acquisition and exploitation problem in cloud radio access networks (Cloud-RAN). A novel CSI acquisition method, called compressive CSI acquisition, is adopted to effectively reduce the CSI signaling overhead by obtaining instantaneous coefficients of only a subset of all the channel links. To deal with the uncertainty in available CSI, we propose...
In this paper we have studied downlink packet scheduling algorithms proposed for LTE cellular networks. The study emphasize on six most promising scheduling algorithms such as: FLS, EXP rule, LOG rule, PF, MLWDF, EXP/PF.
In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e...
Software-defined elastic optical networks (SD-EONs) provide operators more flexibility to customize their optical infrastructure dynamically and adaptively, and network virtualization, i.e., infrastructure-as-a-service (IaaS), enables multiple tenants to share the substrate infrastructure efficiently. In this paper, we study how to provision virtual SD-EONs (vSD-EONs) with the correlated data and...
Future hybrid vehicle networks can use both Vehicle-to- Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communications to provide reliable, timely, scalable, and media-rich services. In this paper, we investigate the problem that how to disseminate the data to the Road Side Unit (RSU) considering bidirectional transmissions, using vehicles to store-carry-and-forward the messages if possible, in...
Carrier Aggregation (CA) features will enhance Quality of Service (QoS) for the users as well as cell throughput of the LTE-Advanced (LTE-A) base-station (eNodeB). To deliver a high QoS for users, an eNodeB requires a well-designed and efficient CA enabled downlink scheduling algorithm. Enabling aggregation of multiple component carriers leads to huge power consumption compared with non-CA scenario...
A cloud radio access network (Cloud-RAN) is a network architecture that holds onto the promise of meeting the explosive growth of mobile data traffic. Cloud-RAN consists a central processor (CP) connecting to multiple multi-antenna base stations (BSs) via finite-capacity backhaul links. To reduce the backhaul traffic, BS-level caching technique is utilized in which the popular contents are pre-fetched...
Dynamic spectrum access is an important issue in cognitive radio networks (CRNs) as secondary users (SUs) can benefit from accessing the vacant licensed channels of primary users (PUs). In this paper, we consider the problem of competitive distributed spectrum access in CRNs with quality of service (QoS) constraints. We first propose a distributed matching algorithm (DMA) to handle spectrum access...
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