A Survey of Energy Efficient Resource Management Techniques for Multicell Cellular Networks

Rao, Jaya; Fapojuwo, Abraham O.

doi:10.1109/surv.2013.042313.00226

Cited by 139 publications

(70 citation statements)

References 99 publications

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“…We assume an average bit rate of 10 Mbit/s in the following figures and use the energy consumption models of Equations (13) and (14). The transmission power P tx is set according to the P max values in Table 2.…”

Section: Base Station Energy Consumption In D2d Networkmentioning

confidence: 99%

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

2018

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Device-to-device (D2D) communication is an essential part of the future fifth generation (5G) system that can be seen as a "network of networks," consisting of multiple seamlessly-integrated radio access technologies (RATs). Public safety communications, autonomous driving, socially-aware networking, and infotainment services are example use cases of D2D technology. High data rate communications and use of several active air interfaces in the described network create energy consumption challenges for both base stations and the end user devices. In this paper, we review the status of 3rd Generation Partnership Project (3GPP) standardization, which is the most important standardization body for 5G systems. We define a set of application scenarios for D2D communications in 5G networks. We use the recent models of 3GPP long term evolution (LTE) and WiFi interfaces in analyzing the power consumption from both the infrastructure and user device perspectives. The results indicate that with the latest radio interfaces, the best option for energy saving is the minimization of active interfaces and sending the data with the best possible data rate. Multiple recommendations on how to exploit the results in future networks are given.

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Section: Base Station Energy Consumption In D2d Networkmentioning

confidence: 99%

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

2018

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“…A static clustering of a fixed cluster size of 2 is employed in this work, however both studies does not intend to cover all clustering solutions available, especially missing the dynamic clustering algorithms which can reduce high complexity on user-centric clustering solution in large clusters of cells. Rao et al presents a survey on energy efficient resource management for cooperative networks in [15] however energy efficient cooperative clustering challenge is not reviewed extensively. A comprehensive book is published about CoMP [10], two example clustering techniques, one for static, one for dynamic clustering is presented however it again fails to present an extensive review for CoMP clustering.…”

Section: ) Network Densification -Massive Small Cell Deploymentmentioning

confidence: 99%

“…New architectures like CDSA [17] and C-RAN [22]- [24] have been envisioned to enable energy efficiency and reduce OPEX and CAPEX costs in future wireless networks, mainly by providing small cell coverage only when it's required. Enabling CoMP will also improve energy efficiency [15]. It's been in the attention of research to design CoMP clusters to maximise energy efficiency and to optimise the trade-off between spectral efficiency and energy efficiency.…”

Section: Energy Efficiencymentioning

confidence: 99%

Coordinated Multi-Point Clustering Schemes: A Survey

Bassoy

Farooq

Imran

et al. 2017

IEEE Commun. Surv. Tutorials

162

109

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Abstract-Mobile data traffic grew by 74% in 2015 and it's expected to grow 8-fold by 2020. Future wireless networks will need to deploy massive number of small cells to cope with this increasing demand. Dense deployment of small cells will require advanced interference mitigation techniques to improve spectral efficiency and enhance much needed capacity. Coordinated multi-point (CoMP) is a key feature for mitigating intercell interference, improve throughput and cell edge performance. However, cooperation will need to be limited to few cells only due to additional overhead required by CoMP due to channel state information (CSI) exchange, scheduling complexity and additional backhaul limitation. Hence small CoMP clusters will need to be formed in the network. This article surveys the stateof-the-art on one of the key challenges of CoMP implementation: CoMP clustering. As a starting point, we present the need for CoMP, the clustering challenge for 5G wireless networks and provide a brief essential background about CoMP and the enabling network architectures. We then provide the key framework for CoMP clustering and introduce self organisation as an important concept for effective CoMP clustering to maximise CoMP gains. Next, we present two novel taxonomies on existing CoMP clustering solutions, based on self organisation and aimed objective function. Strengths and weaknesses of the available clustering solutions in the literature are critically discussed. We then discuss future research areas and potential approaches for CoMP clustering. We present a future outlook on the utilisation of Big Data in cellular context to support proactive CoMP clustering based on prediction modelling. Finally we conclude this paper with a summary of lessons learnt in this field. This article aims to be a key guide for anyone who wants to research on CoMP clustering for future wireless networks.

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“…One of the major challenges is the incursion of inter-tier interference due to the aggressive spatial reuse. Discontinuous transmission (DTX) mode at BSs serves as a potential technology of managing interference and improving energy efficiency [5], [10], [11]. The main principle of DTX is to shut down some BS components in time periods without signal transmission to reduce interference and energy wastage of the system.…”

Section: Introductionmentioning

confidence: 99%

HetNets With Random DTX Scheme: Local Delay and Energy Efficiency

Nie

Zhong

Zheng

et al. 2016

IEEE Trans. Veh. Technol.

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Heterogeneous cellular networks (HetNets) are to be deployed for future wireless communication to meet the ever-increasing mobile traffic demand. However, the dense and random deployment of small cells and their uncoordinated operation raise important concerns about energy efficiency. On the other hand, discontinuous transmission (DTX) mode at the base station (BS) serves as an effective technology to improve energy efficiency of overall system. In this paper, we investigate the energy efficiency under finite local delay constraint in the downlink HetNets with the random DTX scheme. Using a stochastic geometry based model, we derive the local delay and energy efficiency in a general case and obtain closed-form expressions in some special cases. These results give insights into the effect of key system parameters, such as path loss exponents, BS densities, SIR threshold and mute probability on the system performance. We also provide the low-rate and high-rate asymptotic behavior of the maximum energy efficiency. It is analytically shown that it is less energy-efficient to apply random DTX scheme in the low-rate regime. In the high-rate regime, however, random DTX scheme is essential to achieve the finite local delay and higher energy efficiency. Finally, we extend the analysis to the load-aware DTX scheme where the mute probability depends on the user activity level.

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A Survey of Energy Efficient Resource Management Techniques for Multicell Cellular Networks

Cited by 139 publications

References 99 publications

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

Coordinated Multi-Point Clustering Schemes: A Survey

HetNets With Random DTX Scheme: Local Delay and Energy Efficiency

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