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This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS...
In cognitive radio sensor networks, one of the fundamental tasks is cooperative spectrum sensing by multiple cognitive radio (CR) sensors to improve the spectrum detection performance. However, during each cooperative sensing process, extra energy is consumed by the selected sensors through local sensing, data reporting, and data fusion activities. Thus, cooperative sensing processes call for energy...
In this paper, we study the energy efficiency problem of the heterogeneous network composed of pico clusters deployed within the macro cells. We would like to find the optimal transmit power of the pico cells such that the energy efficiency of the cluster is the largest. A cell-specific cell selection bias is also considered so that each user may choose its serving cell in the most energy-efficient...
In this paper, we propose an algorithm that determines the optimal user equipment (UE) and base station (BS) association in heterogeneous cellular network, aiming at minimizing network energy consumption and avoiding frequent pico base station (PBS) mode switching, by taking into account the energy consumption of PBS switching-on/off operation. We first formulate the energy minimization problem into...
In the practical application of cognitive radio network, it is especially important to improve the energy efficiency for those energy-constrained cognitive users. From the perspective of maximizing the energy efficiency in cognitive radio networks, this paper considers the case that the sudden appearance of the primary user can lead to data collision when the cognitive user is transmitting data. Then...
In this paper, we propose a joint power allocation and antenna selection scheme for orthogonal-frequency-division-multiplexing (OFDM) distributed multiple-input multiple-output (D-MIMO) systems. Our aim is to increase energy efficiency (EE), under the constraint of transmission power of each remote access unit (RAU). Because of the multi-objective and non-convex nature of the problem, obtaining the...
Radar sensor deployment is of great importance for radar sensor network (RSN) provisioning. A RSN is effectively deployed to detect multi-target within a given surveillance area with required detection performance and energy consumption. In this paper, we explore two deployment strategies-Hexagonal Deployment Strategy(HDS) and Diamond Deployment Strat-egy(DDS). We propose two decision fusion rules...
We investigate energy-efficient dispatching policy for virus scanning as service (VSaaS) under N-version protection. Under N-version protection, one would dispatch a file-scan request to multiple service engines, in order to reduce the missed detection error cost. However, this also increases the energy consumption of service engines and the queueing delay. To manage this tradeoff, we aim to reduce...
In this paper, we propose a hybrid cellular network structure where co-frequency vertical coverage embedded on the cell edge, to improve the performance in the cell edge, using the cell interference depth as the interference threshold. Based on this proposed structure, three key performance metrics, i.e., the spectral efficiency, the cell throughput and the energy efficiency, are analyzed. The results...
This paper investigates an energy efficient power allocation scheme in cognitive radio networks (CRNs), where secondary user (SU) may incorrectly sense the unlicensed spectrum and hence transmit data in collision. We aim to maximize the energy efficiency by optimal and low complexity power allocation design. At first, an energy efficient power allocation optimization problem with sensing errors is...
In this paper, we propose a cross-layer design model for multiple input and multiple output (MIMO) cellular systems, to solve the problem of energy efficient communications with delay demand. We first investigate the energy efficient multiple quadrature amplitude modulation (MQAM) constellation size for each transmission stream. With the demand of the packet delay, then we propose an adaptive MIMO/SIMO...
In this paper, a low complexity algorithm is proposed to improve energy efficiency in LTE networks. Energy efficiency optimization issue is formulated as NP-hard problem which requires high computational cost due to optimal exhaustive search (ES). Then a low complexity energy efficiency optimization algorithm (LCEEO) based on optimal switching-off eNB selection is proposed. With LCEEO, eNBs will be...
In Wireless Sensor networks clustering algorithm is an effective technology to save sensor nodes energy and extend network lifetime, but most of these algorithms are often designed for homogeneous sensor networks, which is not realistic and practical. In this paper, we propose an improved clustering protocol BEEC (Balanced and Energy-Efficient Clustering algorithm) for heterogeneous wireless sensor...
This paper investigates energy efficient resource allocation for orthogonal frequency division multiplexing (OFDM) multi-relay networks, where the source node communicates with the destination node via multiple relay nodes. Both transmit power and circuit power consumption are taken into consideration. The objective is to minimize the overall power consumption so as to achieve high energy efficiency...
In wireless sensor networks (WSNs), power-conserving MAC design is vitally important for sensors which use a power source from a fixed utility or manual battery recharging. In this paper, we propose an energy-efficient sensor selection algorithm with two-hop cooperating transmission, which minimizes the total energy consumption of WSNs by exploiting spatial correlation between sensors without compromising...
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