Relay assisted cellular system for energy minimization

Chandwani, Gitanjali; Datta, Shubhashis; Chakrabarti, Saswat

doi:10.1109/indcon.2010.5712641

Cited by 15 publications

(16 citation statements)

References 4 publications

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“…RN deployment can bring power savings in the uplink, and prolonging battery lifetime of the UE. The theoretical analysis and computer simulation results on effects of relaying by considering fixed RNs show that for the path-loss index of 4, power reduction of more than 50% (4 to 5 dB) can be achieved [222]. The simulation shows high power efficiency achievement while maintaining an acceptable level of signal to noise ratio (SNR).…”

Section: Technical Aspectsmentioning

confidence: 97%

LTE-Advanced Radio Access Enhancements: A Survey

Dehghani

Arshad

MacKenzie

2014

Wireless Pers Commun

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Long Term Evolution Advanced (LTE-Advanced) is the next step in LTE evolution and allows operators to improve network performance and service capabilities through smooth deployment of new techniques and technologies. LTE-Advanced uses some new features on top of the existing LTE standards to provide better user experience and higher throughputs. Some of the most significant features introduced in LTE-Advanced are carrier aggregation, enhancements in heterogeneous networks, coordinated multipoint transmission and reception, enhanced Multiple Input Multiple Output (MIMO) usage and deployment of relay nodes in the radio network. Mentioned features are mainly aimed to enhance the radio access part of the cellular networks. This survey article presents an overview of the key radio access features and functionalities of the LTE-Advanced radio access network, supported by the simulation results. We also provide a detailed review of the literature together with a very rich list of the references for each of the features. An LTE-Advanced roadmap and the latest updates and trends in LTE markets are also presented.

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Section: Technical Aspectsmentioning

confidence: 97%

LTE-Advanced Radio Access Enhancements: A Survey

Dehghani

Arshad

MacKenzie

2014

Wireless Pers Commun

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“…The reduction factor depends on number of relay stations, location of relay stations and pathloss factor [4]. Fig.…”

Section: B Mathematical Analysis For Battery Consumptionmentioning

confidence: 99%

Power optimization of wireless network

Jha

Mishra

Yadav

et al. 2013

2013 Annual IEEE India Conference (INDICON)

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During the last few years there has been a significant growth in the field of wireless communication. Power optimization is an important task for NGN (Next Generation Network), because near about 7-8 % weightage of ICT (Information and Communication Technology) power are being used in mobile communication. In this paper tools and techniques are provided for optimizing total power consumption of a Wireless Network due to repeated data processing and inefficient transmission to a fixed end-to-end source. In this work it is shown that the improved transmission strategy could enhance and optimize the total power utilization considerably. Power optimization in wireless network has been analyzed on the basis of three case study which are: 1) Relay based Approach, 2) Battery Model, and 3) Routing Protocol. The proposed network is compared among various scenarios and on the basis of performance analysis, the proposed model provides a best solution for NGN with AODV routing protocol as compared with OLSR as far as power optimization is concerned.

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“…The system performance is also greatly affected by the number of relays in the cell, as shown in [5][6][7][8]. These works converge to the existence of some threshold beyond which adding more relays does not improve the system performance significantly.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, to predict the transmit energy consumption without requiring excessive simulations, we consider the geometrical model proposed in our previous work [9], that we adapt to fit more general settings and circular cells aided by N r relays. Other geometrical patterns have been used in the literature, such as in [8,10]. However, they are neither coverage-nor energy-optimized and do not reflect the performance gains obtained by relaying.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the performance analysis of sub-optimal relay placement is relevant and the deployment flexibility should be considered as well, i.e. the possibility for a designer to have a wide range of potential relay locations without harming the network performance too much.The system performance is also greatly affected by the number of relays in the cell, as shown in [5][6][7][8]. These works converge to the existence of some threshold beyond which adding more relays does not improve the system performance significantly.…”

mentioning

confidence: 99%

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Trade-Offs on Energy-Efficient Relay Deployment in Cellular Networks

Parzysz

Gagnon

2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

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Relay-based cellular networks are likely to play an important role in the race for energy efficiency. However, potential gains greatly depend on how relay stations are deployed within the cell. Using a geometrical model for energy-efficient analysis, we investigate the impact of the number and location of relays on energy consumption, and its dependence on the relay coding scheme and the propagation environment, i.e. the pathloss and the line-of-sight conditions. In addition to the transmit energy, we account for the economic cost of relay deployment, as well as the overhead energy dissipated at each relay stations due to data processing and network maintenance. We then bring out four key trade-offs which balance the cost and flexibility of relay deployment, the energy efficiency and the coverage extension. I. INTRODUCTIONA major challenge for next generation cellular systems is to provide high-data-rate services in an energy-efficient manner to all users, including at cell-edge. In this regard, relaying is considered as a promising option for significant gains for both coverage extension and energy consumption. The issue of relay deployment embraces both the number of relay stations and their position within the cell.A wide literature proposes analysis and algorithms for optimal relay placement regarding coverage [1-3], outage probability [4], energy consumption [5] or spectral efficiency [6]. However, obtained results are only valid for the considered radio propagation model and coding scheme. Moreover, relay deployment is also constrained by the urban topography and by administrative by-laws, which implies that it may be impossible to locate a relay station at its optimal location. Therefore, the performance analysis of sub-optimal relay placement is relevant and the deployment flexibility should be considered as well, i.e. the possibility for a designer to have a wide range of potential relay locations without harming the network performance too much.The system performance is also greatly affected by the number of relays in the cell, as shown in [5][6][7][8]. These works converge to the existence of some threshold beyond which adding more relays does not improve the system performance significantly. With this perspective, a trade-off between capacity enhancement and deployment cost has been highlighted in [7]. Though, trade-offs between energy efficiency and relay deployment have been little explored in the literature.

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Relay assisted cellular system for energy minimization

Cited by 15 publications

References 4 publications

LTE-Advanced Radio Access Enhancements: A Survey

LTE-Advanced Radio Access Enhancements: A Survey

Power optimization of wireless network

Trade-Offs on Energy-Efficient Relay Deployment in Cellular Networks

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