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In this paper, we address the energy conservation problem with the quality of service (QoS) requirements taken into account for the physical downlink shared channel (PDSCH) in LTE/LTE-Advanced networks. By jointly allocating the modulation and coding schemes (MCS), resource blocks (RB), and power, we first propose a standards-compliant QoS-oriented power control algorithm (SQPC) for realistic systems...
In 3GPP Release-12 specification, the adoption of small cells in long term evolution (LTE) networks is considered as a promising solution to meet the growing traffic demand for mobile data usage. However, energy consumption becomes a crucial challenge for network operators to deploy more small cells in heterogeneous networks in order to fulfill the requirement for achieving high data rates. In this...
IEEE 802.15.4 beacon-enabled mode adopts duty cycle to achieve energy efficiency and provides an optional acknowledgement (ACK) mechanism to ensure the transmission reliability. However, frequently sending ACK introduces additional ACK transmission energy consumption and increases end-to-end delay. In this paper, we focus on a duty cycle optimisation problem with joint consideration on energy efficiency,...
We consider a system where multiple users are connected to a small cell base station enhanced with computational capabilities. Instead of doing the computation locally at the handset, the users offload the computation of full applications or pieces of code to the small cell base station. In this scenario, this paper provides a strategy to allocate the uplink, downlink, and remote computational resources...
In the paper we focus on the problem of improving the efficiency of the peer-to-peer connection establishment for the recently suggested Bluetooth Low Energy (BLE) protocol. We suggest a novel Accelerated Connection Establishment (ACE) mechanism which enables to significantly reduce the time and energy consumption for establishing the connection between BLE devices in the multi-node scenarios. We...
In this paper, we study the use of a wireless charging vehicle (WCV) to replenish energy to sensors in a wireless sensor network so that none of the sensors will run out of its energy, where sensor batteries can be recharged. Specifically, we first propose a flexible on-demand sensor energy charging paradigm that decouples sensor energy replenishment and data collection into separate activities. We...
With the advance of energy harvesting technology, more and more sensors now are powered by ambient energy. Energy harvesting sensor networks are a key step in paving the way for truly green systems that can operate ‘perpetually’ and do not adversely impact on the environment. In this paper we consider quality data collection in an energy harvesting sensor network by exploring sink mobility. That is,...
Wireless Sensor Networks (WSNs) anomaly detection applications aim at identifying events which occur in a monitored area. Forest fire, landslide or intrusion detection are some examples. In order to perform anomaly detection, wireless sensors are deployed in the area of interest and the nodes monitor a physical parameter. If this parameter exceeds a predefined threshold, the node generates an alarm...
This paper presents a clean slate radio network solution, that has been designed with the aim to maximize energy performance. In traditional radio network designs, the energy cost for providing coverage (idle mode functionality) is totally dominating the network energy consumption. Here, a logical separation between idle mode functions and user plane data transmission and reception will be assumed...
This paper presents an energy efficient relay deployment algorithm that determines the optimal location and number of relays for future wireless networks, including Long Term Evolution (LTE)-Advanced heterogeneous networks. We formulate an energy minimization problem for macro-relay heterogeneous networks as a Mixed Integer Linear Programming (MILP) problem. The proposed algorithm not only optimally...
This paper focuses on the optimization of energy efficiency (EE) for BSs with distributed multiple-input multiple-output (MIMO) using an efficient antenna sleep strategy. A novel metric called sleep EE gain is proposed in this paper to evaluate the energy efficiency performance of sleep strategy in distributed MIMO systems. A related closed-form expression is developed to determine the optimum antenna...
To overcome latency constrain of common mobile cloud computing, computing capabilities can be integrated into a base station in mobile networks. This exploitation of convergence of mobile networks and cloud computing enables to take advantage of proximity between a user equipment (UE) and its serving station to lower latency and to avoid backhaul overloading due to cloud computing services. This concept...
The green communication draws a lot of attention in recent years. Meanwhile, as a promising technology, cognitive radio will constitute an important part of the future communication networks. Energy consumption of cognitive radio network is worthy studying, which is analyzed in this paper applying stochastic network calculus. A multi-channel cognitive radio network model is introduced. Stochastic...
In this paper, we propose a new addressing scheme, namely, the Clock Skew Addressing (CLOSA) scheme, that allows for assigning a unique IPv6 addresses to each node in the Internet of Things (IoT) network. The CLOSA scheme eliminates the need for the inefficient techniques of duplicate address detection and allocation table validation used in most existing addressing schemes. CLOSA guarantees uniqueness...
In this paper, we consider the potential influences on energy efficiency when Device to Device (D2D) communication is introduced to small cell network with sleep scheme. To begin with, we obtain the optimal sleep strategy for small cells, then we define parameters sleep ratio (SR) and maximum sleeping cell (MSC) to describe system dormant situation. Furthermore, parameters λ and θ are defined to indicate...
In-network processing (INP) is a promising method that allows aggregation of data while it is being transferred along the communication paths as a means to optimize the utilization of network resources without violating the quality of information (QoI) requirements. Given the large amount of data existing in dynamic environments, the optimization of INP requires a distributed framework that can adapt...
Base station (BS) sleeping has been proved to be an effective technique for saving energy consumption in cellular networks. However, BSs in sleeping mode might cause coverage holes, which have a negative impact on the connectivity of the network. In order to overcome this problem, we propose a combined coordinated multi-point (CoMP) transmission and BS sleeping scheme under the heterogeneous networks...
Energy consumption is an important issue in the design of Wireless Sensor Networks (WSNs) which typically are powered by limited energy. A suitable clustering algorithm for grouping sensor nodes can raise energy efficiency for WSNs. However, there exist some overheads for clustering, such as cluster-head selection, assignment, and cluster construction. In this paper, we propose a new regional energy...
Increasing wireless cellular networks capacity is one of the major challenges for the coming years, especially if we consider the annual doubling of mobile user traffic. Towards that and thanks to the fact that a significant amount of mobile data is indeed delay tolerable, in this paper, we suggest embedding the delayed offloading of some user traffic to be a part of future wireless cellular networks...
Heterogeneous networks (HetNets) have been considered as a promising technique for improving spectral efficiency, but the energy efficiency influenced by the fluctuation of user numbers should not be neglected to achieve green communications. We introduce the energy-efficient switch-off mode algorithm for pico cells to reduce power consumption in the self-organizing network (SON). Once the switch-off...
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