A survey of energy-efficient wireless communications
By Daquan Feng, Chenzi Jiang, Gubong Lim, Len Cimini, Gang Feng, Geoffrey Y. Li. IEEE Communications Surveys and Tutorials, 2013
1,000 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/61f9514f86fbc371b0d9bc1d5f9a4f2a90cd1541
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- Qingqing Wu
- M. Di Renzo
- Alessio Zappone
- Yuanwei Liu
- Rui Zhang
- Emil Björnson
- Robert Schober
- Chau Yuen
Citations in the corpus
- User Association in 5G Networks: A Survey and an Outlook (2015, background): “…observe that increasing the number of transmit antennas at the macro BS improves the probability that a user is associated with the macro BS, which indicates that macro BSs having large antenna arrays are capable of carrying higher traffic loads, hence reducingthe number of small cells required.”
- Review of Internet of Things (IoT) in Electric Power and Energy Systems (2018, methodology): “• Using the cooperative communication technique for IoT entities that have different channel conditions (channel diversity) [109].”
- Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications? A Survey of Alternatives (2014, background): “Energy-efficient design of wireless networks is an increasing research area [18]; energy efficiency is also a key metric for M2M applications.”
- Design Guidelines for Spatial Modulation (2015, background): “Recently, the energy consumption issue in wireless communication has attracted increasing attention, especially in MIMOaided LTE and LTE-A networks [111], [157].”
- Energy-Efficient Design of MIMO Heterogeneous Networks With Wireless Backhaul (2015, background): “We consider the power consumption due to transmission and signal processing operations performed on the entire network, therefore energy-efficiency tradeoffs will be such that savings at the MBSs and SAPs are not counteracted by increased consumption at the UEs, and vice versa [6], [48].”
- Massive MIMO and mmWave for 5G Wireless HetNet: Potential Benefits and Challenges (2016, methodology): “More than 70% of the mobile operator’s electricity bill is due to the radio part of the wireless cellular network [7], [8].”
- Energy Efficiency in Wireless Networks via Fractional Programming Theory (2015, background): “1) has become a canonical choice in wireless network design [105, 84, 60] and for this reason in this monograph we will focus on the model in (1.”
- Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues (2015, background): “Interested readers can refer to [13]–[16] for energy efficient wireless communications, [17], [18] for energy efficient optical commu-”
- Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey (2015, background): “For more survey information on the entire field of green technologies in wireless communication networks, the reader is referred to [5], [24], [29], [32], [34], [49] and [50].”
- Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, background): “tion and the fairness among users [38].”
- Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey (2016, methodology): “in sensor network [43], EE techniques in cellular networks [44], [45].”
- Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “ciency [66]–[72], as well as emergency and public safety ser-”