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Conventional planning and optimization of cellular networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Therefore, we propose an energy-aware dynamic network provisioning framework for realizing green mobile cellular systems by reducing energy consumption in access networks. Proposed mechanism allows base stations (BSs) to offload their entire traffic...
Heterogeneous network (HetNet) has been widely accepted as a viable way to deal with the increasing traffic demand. However, the deployment of small cell base stations (SBSs) inevitably triggers a tremendous escalation of energy consumption. In this paper, we study the energy efficient HetNet deployment problem taking the disparities of the traffic load distribution into account. The optimization...
With the development of wireless networks, the scale of network optimization problems is growing correspondingly. While algorithms have been designed to reduce complexity in solving these problems under given size, the approach of directly reducing the size of problem has not received much attention. This motivates us to investigate an innovative approach to reduce problem scale while maintaining...
Directional Antennas (DAs) provide higher gain, and reduce interference by directing beams toward the desired receiver. In this paper, we propose a new joint optimization framework considering the energy consumption and throughput in DAs Wireless Mesh Networks (WMNs). We formulate the joint optimization problem as a Mixed Integer Linear Problem (MILP) using a weighted objective function of both the...
Heterogeneous cellular network (HCN), which generally consists of small cell base stations (SBSs) and macro base stations (MBSs), is proposed as a promising scheme to improve the capacity of the cellular network. However, huge energy consumption by the densely deployed SBSs arises as a challenging problem that should be addressed properly to fulfill the potential of HCNs. In this paper, we aim to...
As the number of cores increases, cache-based memory hierarchy is becoming a major problem in terms of the scalability and energy consumption. Software-managed scratchpad memories (SPM) is a scalable alternative to caches, but the benefit comes at the cost of explicit management of data. For instance, an instruction SPM needs a code management techniques to load code blocks to the SPM. This paper...
Cooperation among network devices is a promising solution to improve network throughput and network service quality. In addition, it can be used to enhance network survivability against failures. In this paper, we study the user cooperation solution of multipath streaming application on wireless user equipments (UEs) using auction theory. We assume that UEs use multipath transport layer service, and...
In virtualized datacenters (vDCs), dynamic consolidation of virtual machines (VMs) is used to achieve both energy-efficiency and load balancing among different physical machines (PMs). Using VM live migrations, we can consolidate VMs on a smaller number of hosts to power down unused PMs and save energy. Most migration schemes are however oblivious to the characteristics of services that run inside...
In this paper, we propose a cooperative spectrum sensing method where the nodes detecting the primary user and those sending the sensing results are respectively selected in order to achieve energy efficiency. We formulate the problem of node selection and derive the optimized solution. The results show that the proposed method saves the energy compared to the case where the node selection is not...
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 proposed a utility-based energy-efficient (UEE) resource allocation algorithm in downlink OFDMA heterogeneous networks (HetNets) with mixed traffic. The resource allocation problem is formulated as a mixed integer nonlinear programming (MINLP) problem first. Then an iterative algorithm is proposed to optimize the resource block (RB) scheduling and power allocation alternatively,...
Cognitive radios is popular to solve the spectrum scarcity problem. In this paper, we investigate the channel assignment problem in the cognitive radio sensor networks. Due to the inherent power and resource constraints of wireless sensor networks, energy efficiency is the primary concern for networks design. Firstly, a model of data transmission and channel state is described to estimate the predicted...
In future, the wireless network could apply different access technology and guarantee various QoS requirements of services. However, the spectrum resource and other resources are limited. The limited resources are requirements of services tough to meet. In addition, the energy consumption is an important problem with the explosive increase of the wireless terminals and nodes. Hence, a joint bandwidth...
With the emergence of energy harvesting technologies, the energy harvesting wireless sensor network (EH-WSN) provides near-perpetual energy supply for sensor nodes. The routing techniques based on energy-efficient are not suitable for EH-WSN. In this paper, we focus on the routing problem for EH-WSN. We first describe the factors of affecting routing performance in EH-WSN and present three related...
In this paper, the quantum behaved particle swarm optimization algorithm(QPSO) is improved, and the Benchmark function is used to test the improved Quantum behaved particle swarm optimiaztion algorithm(CQPSO). The results show that the improved quantum behaved particle swarm algorithm has better convergence. The improved quantum behaved particle swarm optimization algorithm was used to optimize the...
We investigate the problem of throughput-guaranteed energy saving for base stations in small-cell networks with universal frequency reuse. The objective function is to minimize the time average of total power expenditure in each slot over infinite horizon, while the data arrival rate is constrained in the mean rate stable region. We take advantage of both queue state information and channel state...
Energy efficiency in future green cellular wireless networks poses a challenge to operators and researchers. An effective method of providing energy savings (ES) in base stations (BSs) is to switch off idle BSs or put them into sleep mode and subsequently migrate the traffic loads to active BSs in their neighborhood. The intrinsic issue related to such methods applied to heterogeneous networks (HetNets)...
In multi-radio wireless networks, it is vital to efficiently utilize the resource of non-overlapping channels, and thus the problem of channel assignment has been widely studied. Most proposed channel assignment approaches focus on reducing interference or maximizing throughput, assuming that all the radios on each node are keeping active. However, it is a significant waste of energy when network...
Provisioning the capacity of wireless networks is difficult when peak load is significantly higher than average load, for example, in public spaces like airports or train stations. Service providers can use femtocells and small cells to increase local capacity, but deploying enough femtocells to serve peak loads requires a large number of femtocells that will remain idle most of the time, which wastes...
This paper investigates the downlink resource allocation problem in Orthogonal Frequency Division Multiple Access (OFDMA) Heterogeneous Networks (HetNets) consisting of macrocells and small cells sharing the same frequency band. The focus of this study is to devise an energy efficient scheme that allows shared spectrum access to small cells, while ensuring a certain level of quality of service for...
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