Abstract
Wireless communication has nowadays become one of the major worldwide causes of energy consumption in the field of ICT, with a devastating impact in terms of pollution and energy waste. As a result, the past decade has witnessed tremendous efforts and progress made by both the industry and academia for improving energy and power efficiency in current and emerging wireless communication networks, among which cognitive and cooperative communication are proposed as key technologies to increase both spectrum and energy efficiency. In this article, we provide a comprehensive survey of the green cognitive and cooperative communication and networking techniques from its characteristics point of view to operational details in the eventual deployment. We present a systematic overview on the tools and techniques that can be used to solve problems arising in energy efficiency optimization problem in this context. The need to incorporate green concepts such as multi-input and multi-output, multi-rate, and multi-carrier systems, short-range low-power communication using small cell networks, and machine to machine communication in emerging and advanced wireless communication technologies is also addressed. Finally, we highlight design challenges and open issues in embracing green technologies in different and cross layers of communication and networking.
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Niranjan N, Pandey S, Ganz A (2006) Design and evaluation of multichannel multirate wireless networks. J Mob Netw Appl
3GPP TS 23.888 v1.0.0. (2010) System improvements for machine-type communications. In: IEEE communications magazine
Akyildiz I, Zhu GM, Kuo GS (2008) Stod-rp: a spectrum-tree-based on-demand routing protocol for multihop cognitive radio networks. In: Proceedings IEEE GLOBECOM
Alouini M, Goldsmith A (1999) Area spectral efficiency of cellular mobile radio systems. In: IEEE transactions on vehicular technology, pp 1047–1066
ATIS (2009) Energy efficiency for telecommunication equipment: methodology for measure-ment and reporting-general requirements
Balakrishnan H, Heinzelman W, Chandrakasan A (2000) Energy-efficient communication protocol for wireless microsensor networks. In: HICSS, pp 3005–3014
Cheng G et al (2007) Joint on-demand routing and spectrum assignment in cognitive radio networks. In: Proceedings IEEE ICC
Christensen K, Quittek J, Nordman B (2011) Energy-efficient networks. In: IEEE network magazine
Darpa next generation communications program. http://www.darpa.mil/sto/smallunitops/xg.html
Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley (ISBN: 978-0-471-87339-6)
Dinkelbach W (1967) On nonlinear fractional programming. In: Managemet sciences, pp 492–498
Du D, Cardei M (2005) Improving wireless sensor network lifetime through power aware organization. In: ACM journal of wireless networks
ECR Initiative (2010) Network and telecom equipment-energy and performance assessment
Eiben AE, Smith JE (2003) Introduction to evolutionary computing. In: Springer Verlag
Efficiency Valuation Organization (2007) International performance measurement and verification protocol, Volume I: concepts and options for determining energy and water saving. http://www.evo-world.org
Fdida S, Khalif H, Malouch N (2009) Multihop cognitive radio networks: to route or not to route. In: IEEE network: the magazine of global internetworking-special issue title on networking over multi-hop cognitive networks, pp 20–25
Feng D et al (2012) A survey of energy-efficient wireless communications. In: IEEE communication surveys and tutorials
Garcia-Luna-Aceves JJ, Rajendran V, Obraczka K (2003) Energy-efficient, collision-free medium access control for wireless sensor networks. In: Sensys
Goldsmith AJ, Cui S, Bahai A (2005) Energy-constrained modulation optimization. In: IEEE transactions on wireless communications, pp 2349–2360
Gong J, Yang Z, Niu Z, Wu Y (2010) Cell zooming for cost-efficient green cellular networks. In: IEEE communications magazine, pp 74–79
Han C et al (2011) Green radio: radio techniques to enable energy-efficient wireless networks. In: IEEE communications magazine, pp 46–54
Heath Jr RW, Chae C-B, Gesbert D, Kountouris M, Salzer T (2007) Shifting the mimo paradigm: from single user to multiuser communications. In IEEE signal processing magazine, pp 36–46
Helaoui M, Hammi O, Kwan A, Ghannouchi FM (2010) Green power amplification systems for 3g+ wireless communication infrastructure. In: Proceeding of IEEE VTC
Herhold P, Zimmermann E, Fettweis G (2005) On the performance of cooperative relaying protocols in wireless networks. In: European Transactions on Telecommunications (ETT), pp 17–35
Hu D, Mao S (2012) On medium grain scalable video streaming over cognitive radio femtocell networks. In: IEEE journal on selected areas in communications, pp 641–651
Hu D, Mao S (2012) Streaming scalable videos over multi-hop cognitive radio networks. In: IEEE transactions on wireless communications, pp 3501–3511
Khalif H et al (2008) Probabilistic path selection in opportunistic cognitive radio networks. In: Proceedings IEEE GLOBECOM
Kharitonov D, Alimian A, Nordman B (2009) Network and telecom equipment-energy and performance assessment, ecrinitiative draft 3.0.1. http://www.ecrinitiative.org/
Koh J, Chieng D, Abdulkafi AA, Tiong SK, Ting A (2012) Energy efficiency and cell coverage area analysis for macrocell networks. In: Proceedings of IEEE ICFCN
Koutitas G (2010) A review of energy efficiency in telecommunication networks. In: Telfor journal
Koutitas G (2010) Green network planning of single frequency networks. In: IEEE transactions on broadcasting
Koutitas G, Karousos A, Tassiulas L (2012) Deployment strategies and energy efficiency of cellular networks. In: IEEE transactions on wireless communications
Larranga P, Lozano JA (2001) Estimation of distribution algorithms: a new tool for evolutionary computation. In: Kluwer Academic Publishers
Liang X, Lu R, Li X, Shen X (2011) Grs: the green, reliability, and security of emerging machine to machine communications. In: IEEE communications magazine, pp 28–35
Luo J, Hassanein H (2006) Reliable energy aware routing in wireless sensor networks. In: IEEE DSSNS workshop
Mahfoudh S, Minet P (2008) Performance evaluation of the serena algorithm to schedule router nodes activity in wireless ad hoc and sensor networks. In: AINA
Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. In: IEEE personal commununication, pp 13–18
Naeem M (2012) Computationally efficient algorithms for resource allocation in cognitive radio and green communication systems. PhD thesis available in Simon Fraser University, Canada
Namjoshi P, Kalpakis K, Dasgupta K (2002) Maximum lifetime data gathering and aggregation in wireless sensor networks. In: IEEE networks
Raahemifar K, Illanko K, Anpalagan A (2009) Sub-channel and power allocation for multiuser ofdm with rate constraints using genetic algorithm. In: Proceedings IEEE pacific rim conference on communications, computers and signal processing
Schaible S (1983) Fractional programming. In: Zeitschrift fr operations research, pp 39–54
Schaible S, Avriel M, Diewert WE, Zhang I (2010) Generalized concavity. In: SIAM publications
Sendonaris A, Erkip E, Aazhang B (2003) User cooperation diversity (parts I,II). IEEE transactions on communications 51(11):1927–1948
Shresta N (2006) Reception awarness for energy conservation in ad hoc network. In: PhD Thesis, Macquarie University, Sydney, Australia
Shroff NB, Kwon S (2006) Energy-efficient interference-based routing for multi-hop wireless networks. In: IEEE INFOCOM
Smart (2020) Enabling the low carbon economy in the information age. http://www.smart2020.org/publications/. March 2012
Verizon (2009) Verizon NEBS compliance: TEEER metric quantification. http://www.verizonnebs.com/TPRs/VZ-TPR-9207.pdf
Wang W, Zhang Z, Huang A (2011) Towards green wireless communications: metrics, optimization and tradeoff. In: Green IT: technologies and applications. Springer
Wong SHY, Pefkianakis I, Lu S (2008) Samer: spectrum aware mesh routing in cognitive radio networks. In: Proceedings IEEE DySPAN
Xie B, Xin C, Shen C-C (2005) A novel layered graph model for topology formation and routing in dynamic spectrum access networks. In: Proceedings IEEE DySPAN
Yang C, Xiong C, Chen Y, Zhang S, Li GY, Xu Z, Xu S (2011) Energy-efficiet wireless communications: tutorial, survey, and open issues. In: IEEE wireless communications magazine
Yang Y, Chen T, Kim H (2010) Energy efficiency metrics for green wireless communications. In: Proceedings of WCSP
Yi Y, Son K, Kim H, Krishnamachari B (2011) Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. In: IEEE journal on selected areas in communications
Zeller D, Blume O, Barth U (2010) Approaches to energy efficient wireless access networks. In: Special session on Green Communication at 4th Int. Symp. Commun. Control Signal Processing. Proceedings IEEE VTC Fall
Zhang S, Chen Y, Xiong C, Li GY, Xu S (2011) Energy- and spectral-efficiency tradeoff in downlink ofdma networks. In IEEE transactions on wireless communications
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Part of the work of L. Chen is supported by the ANR (Agence Nationale de la Recherche) under the grant Green-Dyspan (ANR-12-IS03).
Part of the work of W. Wang is supported by National Natural Science Foundation of China (Nos. 61261130585 and 61001098).
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Chen, L., Wang, W., Anpalagan, A. et al. Green Cooperative Cognitive Communication and Networking: A New Paradigm for Wireless Networks. Mobile Netw Appl 18, 524–534 (2013). https://doi.org/10.1007/s11036-013-0441-3
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DOI: https://doi.org/10.1007/s11036-013-0441-3