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This paper investigates the energy saving of base station (BS) deployed in a 1-D multi-hop vehicular network with sleep scheduling strategy. We consider cooperative BS scheduling strategy where BSs can switch between sleep and active modes to reduce the average energy consumption utilizing the information of vehicular speeds and locations. Assuming a Poisson distribution of vehicles, we derive an...
Each mobile network architecture able to meet the traffic requirements of future 5G services comes with its own set of benefits vs. requirements for the radio and the transport segments. This paper focuses on the energy performance of four mobile network architectures, each one with different splitting options for the baseband processing functions. The radio segment under exam is based on a new radio...
Compared with energy-harvesting transmitters, the performance of energy-harvesting receivers has not been fully investigated. The main consumption of energy at transmitters is for transmission, while that at receivers is for information decoding. Hence, the analysis and optimization of energy-harvesting transmitters and receivers are inherently different. Motivated by the above, in this paper, we...
Wireless caching has been used to improve network performance and reduce bandwidth and energy consumption. In this paper, we study the issue of joint admission control and content caching for wireless access points with energy harvesting capability. Given limited energy supply, the access points, in a competitive environment, aim to maximize their payoff defined in terms of revenue by optimizing their...
A considerable percentage of worldwide electrical energy is consumed by information and communication technology. One significant element in this perspective are the data distribution systems via Content Delivery Networks (CDNs). We introduce a new model to compute the total energy consumption of CDNs which is based on a hierarchical Internet map and that takes into account the energy consumption...
In this paper, we propose a novel online centralized algorithm for enabling non-cooperative and energy harvesting capable base stations (BSs) to trade energy in multi-tier cellular networks. BSs are connected to the non-renewable energy source used by a BS when it cannot harvest enough energy to serve its connected users. A double auction trading framework is proposed to motivate BSs with the extra...
In this paper, we explore the content information to design the joint caching and push mechanism in the small-cell base stations (SBSs) powered by renewable energy. The problem is formulated as a Markov decision process by exploring the features of content popularity and renewal and by taking into consideration the energy consumption for both content fetch from core network and push to the users....
In the Internet of Things (IoT), resources' constrained tiny sensors and devices could be connected to unreliable and untrusted networks. Nevertheless, securing IoT technology is mandatory, due to the relevant data handled by these devices. Intrusion Detection System (IDS) is the most efficient technique to detect the attackers with a high accuracy when cryptography is broken. This is achieved by...
In LTE and LTE-Advanced systems the rate of requests on the Random Access CHannel (RACH) can be high. Indeed, the Machine Type Communication (MTC) implies to have a high number of devices that need to request radio resources for transmitting small amount of data. Furthermore, reducing the time in which radio resources are allocated to Human Type Communications (HTC) for energy savings purposes, may...
The rapid development of cloud computing has raised big concerns over the high energy consumption of modern data centers. To satisfy the ever increasing data traffic needs, the energy consumption of data center network (DCN) also takes a significant proportion. The newly emerging technology, Software Defined Networking (SDN), which allows flexible control of network devices, brings a new opportunity...
Installing a mobile sink on the public vehicle, which is a path-constrained vehicle, to collect data in a mobile sensor network can lower maintenance cost. However, immediately sending the data packet to the mobile sink when it arrives does not guarantee the shortest path, leading to high energy consumption. Meanwhile, immediately sending the data packet to the closest future position of the mobile...
In video multicast, it is a challenging task to deliver video at a satisfactory level to multiple receivers with different channel quality and different battery capacities. In order to resolve such receiver heterogeneity, we propose a video multicast system that integrates scalable video coding (SVC) and flexible multicast service (FMS). The system is designed to transmit the base layer (BL) and the...
Green communications has received much attention in recent years. In cellular networks, base stations (BSs) account for more than 50 percent of the energy consumption. Reducing energy consumption of BSs is essential to realizing green cellular networks. Utilizing green energy to power BSs is a promising way to reduce the on-grid energy consumption. Maximizing the utilization of green energy has thus...
We have proposed a prioritized random access (PRA) scheme, where each node indicates its access priority by differentiating the transmit power of preamble signatures and the eNodeB utilizes multiple detection thresholds to detect the prioritized preamble signatures. In this paper, in order to make the PRA scheme more robust, we enhance our previously proposed PRA scheme by investigating the effect...
We consider an energy minimization problem for cooperative LTE networks. To reduce energy consumption, we investigate how to jointly optimize the transmit power and the association between cells and user equipments (UEs), by taking into consideration joint transmission (JT), one of the coordinated multipoint (CoMP) techniques. We formulate the optimization problem mathematically. For solving the problem,...
Wireless sensor networks (WSNs) always collect an enormous amount of rich diverse environmental information. When WSNs grow large in scale, it is difficult for the sink to gather data due to the increasing transmission overhead. In order to improve the fidelity of data recovery and save energy, we propose a novel data aggregation and space-time global recovery scheme. The scheme exploits block Compressed...
We investigate the energy efficiency (EE) in cognitive radio networks, where cognitive users are allowed to access the licensed frequency band opportunistically, provided that the licensed band is vacant. In particular, we study the impact of imperfect spectrum sensing and formulate the EE maximization as a joint optimization problem of the spectrum sensing duration and the transmit power of the cognitive...
There is a significant potential in saving energy of cellular networks by switching off some unloaded base stations (BSs). In this paper, we propose a BS switch-off strategy with distance constraints for reducing the energy consumption in random cellular networks. An ergodic capacity and coverage probability of the hard-core point processes (HCPP) random cellular networks are first analyzed. Furthermore,...
The number of devices that communicate through the cellular system is expected to rise significantly over the coming years. But cellular systems, such as LTE-A, were designed to handle human-to-human traffic. Hence, they are not suitable for managing massive machine-to-machine communications. Therefore, additional congestion control methods must be developed and evaluated. Up to date, access class...
Recent years have witnessed a growing interest in localization algorithms for wireless ad hoc networks. In most localization algorithms, increasing the density of anchor nodes is one of the main strategies to improve the localization accuracy in dense networks. In this paper, based on the number of reference nodes, we propose a distributed localization algorithm, i.e., history based multi-node collaborative...
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