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This paper focuses on resource allocation in heterogeneous Ultra Dense small-cell Networks (UDNs), in which massive overlaid small cells are under the coverage of a macro cell. In UDN, both co-tier and cross-tier interference need to be taken into account. When increasing the deployment density of Small-cell Base Stations (SBSs) and the unreasonable energy usage, it results in serious interference...
In this paper, we investigate the energy-efficient resource allocation problem in the downlink of an Orthogonal Frequency Division Multiple Access (OFDMA) system with multiple users. A iterative algorithm is developed to maximize the overall energy efficiency of the downlink transmission by allocating the resource blocks (RBs) and the transmit power, which is constant for all RBs assigned to a given...
The underwater wireless remote sensors convey messages in a range, where there is no possible human intervention. It is difficult to replace the battery in order to sustain energy in an acoustic environment. Moreover, considering the environment, solar energy cannot be used to recharge for batteries. These sensors are required to be awake for an extended period, taking in consideration that they have...
Data center energy consumption has become one of the top concerns in designing and operating large-scale data centers as cloud service providers such as Amazon, Google, IBM and Microsoft have begun to establish more data centers in response to growing requests in clouds. In recent years, extensive efforts have been put into the research of reducing the energy consumption of servers. With the improvement...
Densely-deployed heterogeneous networks (HetNets) with large number of small cell base stations (SBSs) will constitute one of the main pillars of emerging 5G wireless systems. While such dense deployments of HetNets can help in achieving capacity requirements of 5G networks, they can also result in a significant increase in energy consumption. Since there may not be many associated users in certain...
In this paper, we investigate the energy efficient resource allocation problem for the wireless powered OFDMA multi-cell networks. In the considered system, the users who have data to transmit in the uplink are empowered by the wireless power obtained from multiple base stations (BSs) with a large scale of multiple antennas in the downlink. A time division protocol is considered to divide the time...
In this paper we present a data-driven power control (DDPC) approach to improve total cell throughput and energy efficiency of ultra-dense femtocells. Although femtocells can increase the capacity and coverage in an indoor environment, ultra-dense femtocells may consume a lot of energy and generate severe interference. We investigate a data-driven clustering approach to reduce co-tier interference...
Spectrum efficiency (SE) and energy efficiency (EE) are two key targets in wireless communication networks. Applying energy harvesting technology to cognitive radio networks (CRNs), which is called RF-powered CRNs, provides an effective method to improve both SE and EE of CRNs. In conventional RF-powered CRNs, secondary transmitters (STs) equipped with RF energy harvesting capability opportunistically...
In this paper our work investigates the performance of Intra-WBSN by placing the Body Node Coordinators (BNCs) at different positions in Intra-WBSN. Physiological data is collected by bio-sensor nodes and forwarded to BNC through intermediate node or forwarder. The forwarder node is selected on the basis of cost-function. Cost-function depends on the residual energy of node and path-loss between sensor...
Design of energy efficient underwater wireless sensor networks (UWSNs) routing protocol to prolong network lifetime is a challenging task because of limited battery life of sensor nodes. In this paper, we propose mobile energy efficient square routing protocol (MEES) to balance energy consumption of nodes in the network. Two mobile sinks are deployed at the farthest distance from each other. In order...
Energy efficiency is a major requirement for next generation mobile networks both as an end to reduce operational expenses and to increase the systems' ecological friendliness. Another integral part of 5G networks is the increased density of the deployment of small radius base stations, such as femtocells. Based on the design principle that demands a system to be active and transmitting only when...
This paper studies the potential improvements in terms of energy efficiency and system throughput of a hybrid automatic retransmission request (HARQ) mechanism. The analysis includes both the physical (PHY) and medium access (MAC) layers. We investigate the trade-off provided by HARQ, which demands reduced transmit power for a given target outage probability at the cost of more accesses to the channel...
Machine Learning (ML) techniques empower Internet of Things (IoT) devices with the capability to interpret the complex, noisy real-world data arising from sensor-rich systems. Achieving sufficient energy efficiency to execute ML workloads on an edge-device necessitates specialized hardware with efficient digital circuits. Razor systems allow excessive worst-case VDD guardbands to be minimized down...
ConvNets, or Convolutional Neural Networks (CNN), are state-of-the-art classification algorithms, achieving near-human performance in visual recognition [1]. New trends such as augmented reality demand always-on visual processing in wearable devices. Yet, advanced ConvNets achieving high recognition rates are too expensive in terms of energy as they require substantial data movement and billions of...
In this paper, we propose an energy efficient multipath congestion control protocol, called emReno. emRemo can shift traffic to the lower energy cost path without sacrificing the throughput and still guaranteeing the fairness and load balancing. The extensively simulations show the features of emReno as a common multipath congestion control protocol as well as its energy efficient characteristic.
In this study, we address the problem of minimizing the energy consumption in future 5G networks by means of a joint optimization of radio access network (RAN) and multi-hop wireless backhaul network. The objective of the optimization is to operate the network with the smallest set of base stations while meeting the quality of service (QoS) requirements of users. We first pose the optimization problem...
A reconfigurable compressive sensing engine for on-die acceleration of target threshold detection, feature extraction and depth perception is fabricated in 14nm Tri-Gate CMOS, and occupies 0.022mm2. Compressed-domain processing with sort-assisted thresholding, opportunistic early-termination using 3-stop checkpointing and in-line bound estimation enable 305mV-850mV operation with peak energy-efficiency...
Energy consumption's increasing importance in scientific computing has driven an interest in developing energy efficient high performance systems. Energy constraints of mobile computing has motivated the design and evolution of low-power computing systems capable of supporting a variety of compute-intensive user interfaces and applications. Others have observed the evolution of mobile devices to also...
In this paper, we propose a new energy efficient strategy for 802.11ac networks. 802.11ac uses multi-user MIMO (MU-MIMO) technique for throughput enhancement. When multiplexing spatial streams of different lengths, 802.11ac pads additional bits for shorter streams to equalize the sizes of all streams. The padding method incurs redundant energy consumption for a receiver while listening useless data...
Energy Efficiency is an important feature in poor-covered areas where not only the access to a cellular network is scarce but also energy sources are limited. In this paper, we consider a wireless mesh network to act as a local backhaul network to cover rural and remote villages. The shortage of energy in these settlements motivates to optimize the energy consumption of the wireless backhaul network...
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