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We jointly investigate resource allocation along with dynamic activation of energy harvesting base stations in a two-tier heterogeneous network (HetNet) under energy harvesting as well as interference constraints. Considering the varying channel condition, user activity, and arrival of harvested energy in different time slots, we determine resource allocation and dynamic activation of energy harvesting...
Device-to-device transmission technology can help base stations achieve high transmission rates and meet high-capacity requirements. It is also a key technology for future markets. Additionally, the coexistence of licensed and unlicensed bands will be relevant to the landscape of the emerging 5th-generation cellular systems. However, there is a shortage of research on efficient transmission during...
With the rapid growth of bandwidth-intensive applications, Carrier Aggregation (CA) has been introduced in Long Term Evolution-Advanced (LTE-A) Networks to provide higher data rates. In this paper, we investigate the joint resource block allocation and link adaptation problem with CA in LTE-A dwonlink. The problem is formulated as an Integer Programming problem aimed at maximizing the cell throughtput...
As 4G services became more widely available, the number of 4G users has increased greatly, and the services began to suffer from the huge loads for base stations. Fortunately, 3GPP proposed Carrier Aggregation (CA), a method to aggregate component carriers (CCs) and increase the bandwidth to 100 MHz. In order to avoid low efficiency for a cell edge user, we position Wi-Fi stations around the cell...
In a shared virtualized storage system that runs VMs with heterogeneous IO demands, it becomes a problem for the hypervisor to cost-effectively partition and allocate SSD resources among multiple VMs. There are two straightforward approaches to solving this problem: equally assigning SSDs to each VM or managing SSD resources in a fair competition mode. Unfortunately, neither of these approaches can...
The smart grid is a modern electricity grid that uses wireless technologies to control and supervise the substation and the electricity generation and consumption sides. Several wireless technologies can be used for smart grid communication such as Long-Term evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX). However, LTE is the most compatible network for the smart grid because...
One of the promising techniques to enhance MAC efficiency is orthogonal frequency division multiple access (OFDMA). Even though OFDMA-based WLAN allows multi-user transmissions, it requires a careful design of resource management particularly in densely deployed WLANs. To address this problem, we propose a two-phase resource allocation (TPRA) algorithm. In TPRA, an access points (AP) determines its...
RFID technology suffers from a recurring issue: the reader-to-reader collision. Numerous protocols have been proposed to attempt to reduce them, but, remaining reading errors still heavily impact the performances and fairness of dense RFID deployments. This paper introduces a new Distributed Efficient & Fair Anticollision for RFID (DEFAR) protocol. It reduces both monochannel and multichannel...
The heterogeneity between macro and pico base stations (BSs) and the uneven traffic distribution bring challenges for the load balancing and interference coordination in heterogeneous networks (HetNets). Besides, how to guarantee the quality of service (QoS) requirement of pico users when the heavy traffic is offloaded from macro BSs to pico BSs is also a problem worth considering. In this paper,...
Resource allocation and user association are two key issues in the heterogeneous wireless cellular networks. The joint optimization on these two problems is considered as NP-hard and hence it is difficult to achieve the exact solution effectively. In this paper a novel shareable resource allocation and user association scheme is proposed with frequency reusing taken into consideration. The optimization...
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 current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs...
In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the interference power constraint at the Primary Receiver (PR), the total transmission power constraint...
The proliferation of novel network access devices and demand for high quality of service by the end users are proving to be insufficient and are straining the existing wireless cellular network capacity. An economic and promising alternate to enhance the spectral efficiency and network throughput is device to device (D2D) communication. However, enabling D2D communication poses significant challenges...
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...
This paper focuses on heterogeneous dense small-cell networks (Dense-SCNs), consisting of a macro cell base station (MBS) and multiple small cell base stations (SBSs). In the Dense-SCNs, the MBS is a centralized energy trading center and SBSs receive the required energy resource from the trading center. Due to the SBSs' randomly deployment, resulting in the diversity of energy acquisition price, we...
In this paper, we focus on the resource allocation based on scheduling algorithms. Unlike the existing solutions, we introduce the concept of Proportional-Integral-Derivative (PID) controller in the scheduling algorithm called PID-Scheduler in order to reach the system stability. The stability is considered in terms of throughput and delay which meet the nodes needs. In order to allocate the resources...
In this paper, we consider the multicast resource allocation problem for video streaming in Orthogonal Frequency Division Multiple Access (OFDMA) systems. The video streams are encoded into base layer (BL) and enhancement layer (EL) data by the hierarchical video coding (HVC) scheme. The basic resource unit is a set of contiguous subcarriers (chunk). The problem is formulated to maximize the sum of...
Fractional Frequency Reuse (FFR) is considered an attractive inter-cell interference coordination (ICIC) technique for modern Heterogeneous Cellular Systems (Hetnets) due to its low complexity and minimal signaling overhead. This paper proposes an FFR scheme that further increases the resource allocation to macro users (MUEs) who are located farther away from the serving macro base station (MeNB)...
In this paper, a distributed fair algorithm is proposed to address the resource allocation problem in the cognitive femtocell network. The cognitive functionalities equipped in femtocells enable us to effectively identify the qualified resource blocks (RBs), thus we can mitigate inter-cell interference. By exploiting the satisfaction degree and the channel state difference, the proposed distributed...
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