Maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints

Akyildizet, 2006, Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Comput. Netw., 50, 2127, 10.1016/j.comnet.2006.05.001 Cormio, 2009, A survey on MAC protocols for cognitive radio networks, Ad Hoc Netw., 7, 1315, 10.1016/j.adhoc.2009.01.002 Haykin, 2005, Cognitive radio: brain-empowered wireless communications, IEEE J. Sel. Areas Commun., 23, 201, 10.1109/JSAC.2004.839380 Peha, 2009, Sharing spectrum through spectrum policy reform and cognitive radio, Proc. IEEE, 97, 708, 10.1109/JPROC.2009.2013033 Saleem, 2014, Primary radio user activity models for cognitive radio networks: A survey, J. Netw. Comput. Appl., 43, 1, 10.1016/j.jnca.2014.04.001 Wang, 2010, Game theory for cognitive radio networks: An overview, Comput. Netw., 54, 2537, 10.1016/j.comnet.2010.04.004 Ahmad, 2015, A survey on radio resource allocation in cognitive radio sensor networks, Commun. Surv. Tutor., 17, 888, 10.1109/COMST.2015.2401597 de Lima, 2012, Coordination mechanisms for self-organizing femtocells in two-tier coexistence scenarios, IEEE Trans. Wireless Commun., 11, 2212, 10.1109/TWC.2012.041912.110965 Xu, 2014, Internet of things in industries: A survey, IEEE Trans. Ind. Inf., 10, 2233, 10.1109/TII.2014.2300753 Kelly, 2013, Towards the implementation of IoT for environmental condition monitoring in homes, IEEE Sens. J., 13, 3846, 10.1109/JSEN.2013.2263379 Bradai, 2015, EMCOS: Energy-efficient mechanism for multimedia streaming over cognitive radio sensor networks, Pervasive Mob. Comput., 22, 16, 10.1016/j.pmcj.2015.06.015 Bush, 2014 Nardelli, 2014, Models for the modern power grid, EPJ-ST, 223, 2423 Yan, 2013, A survey on smart grid communication infrastructures: Motivations, requirements and challenges, Commun. Surv. Tutor., 15, 5, 10.1109/SURV.2012.021312.00034 Kuzlu, 2014, Communication network requirements for major smart grid applications in HAN, NAN and WAN, Comput. Netw., 67, 74, 10.1016/j.comnet.2014.03.029 Qiu, 2011, Cognitive radio network for the smart grid: experimental system architecture, control algorithms, security, and microgrid testbed, IEEE Trans. Smart Grid, 2, 724, 10.1109/TSG.2011.2160101 Shah, 2013, A cross-layer QoS-aware communication framework in cognitive radio sensor networks for smart grid applications, IEEE Trans. Ind. Inf., 9, 1477, 10.1109/TII.2013.2242083 Khan, 2015, Cognitive radio for smart grids: Survey of architectures, spectrum sensing mechanisms, and networking protocols, Commun. Surv. Tutor. Yu, 2011, Cognitive radio based hierarchical communications infrastructure for smart grid, IEEE Netw., 25, 6, 10.1109/MNET.2011.6033030 Gungor, 2012, Cognitive radio networks for smart grid applications: A promising technology to overcome spectrum inefficiency, IEEE Veh. Technol. Mag., 7, 41, 10.1109/MVT.2012.2190183 Nielsen, 2015, What can wireless cellular technologies do about the upcoming smart metering traffic?, IEEE Commun. Mag., 53, 41, 10.1109/MCOM.2015.7263371 Zhang, 2012, Cognitive machine-to-machine communications: visions and potentials for the smart grid, IEEE Netw., 26, 6, 10.1109/MNET.2012.6201210 Wildman, 2014, On the joint impact of beamwidth and orientation error on throughput in directional wireless Poisson networks, IEEE Trans. Wirel. Commun, 13, 7072, 10.1109/TWC.2014.2331055 Andrews, 2005, Interference cancellation for cellular systems: A contemporary overview, IEEE Wirel. Commun., 12, 19, 10.1109/MWC.2005.1421925 Haenggi, 2012 Nardelli, 2012, Optimal transmission capacity of ad hoc networks with packet retransmissions, IEEE Trans. Wirel. Commun., 11, 2760 Nardelli, 2014, Throughput optimization in wireless networks under stability and packet loss constraints, IEEE Trans. Mob. Comput., 13, 1883, 10.1109/TMC.2013.49 Nardelli, 2015, Throughput analysis of cognitive wireless networks with Poisson distributed nodes based on location information, Ad Hoc Netw., 10.1016/j.adhoc.2015.04.001 Kolter, 2011, REDD: a public data set for energy disaggregation research, Workshop on Data Mining Applications in Sustainability (SIGKDD), San Diego, CA, 25, 59 J.Z. Kolter, [Online]. Available: http://redd.csail.mit.edu/ (accessed 15.03.15). Cardieri, 2010, Modeling interference in wireless ad hoc networks, Commun. Surv. Tutor., 12, 551, 10.1109/SURV.2010.032710.00096 Weber, 2010, An overview of the transmission capacity of wireless networks, IEEE Trans. Commun., 58, 3593, 10.1109/TCOMM.2010.093010.090478 Baccelli, 2011, Interference networks with point-to-point codes, IEEE Trans. Inf. Theory, 57, 2582, 10.1109/TIT.2011.2119230 Weber, 2007, The effect of fading, channel inversion, and threshold scheduling on ad hoc networks, IEEE Trans. Inf. Theory, 53, 4127, 10.1109/TIT.2007.907482 [Online]. Available: http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.optimize.fsolve.html (accessed 15.03.15). Goldsmith, 2005 Pipattanasomporn, 2014, Load profiles of selected major household appliances and their demand response opportunities, IEEE Trans. Smart Grid, 5, 742, 10.1109/TSG.2013.2268664 Lee, 2012, Physical layer security in wireless smart grid, IEEE Commun. Mag., 50, 46, 10.1109/MCOM.2012.6257526 Strbac, 2008, Demand side management: Benefits and challenges, Energy policy, 36, 4419, 10.1016/j.enpol.2008.09.030 Tsividis, 2010, Event-driven data acquisition and digital signal processing: A tutorial, IEEE Trans. Circ. Syst. II, Exp. Br., 57, 577, 10.1109/TCSII.2010.2056012 Simonov, 2015, Gathering process data in low-voltage systems by enhanced event-driven metering, IEEE Syst. J, PP, 1, 10.1109/JSYST.2015.2390073 Munkhammar, 2014, Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data, Appl. Energ., 135, 382, 10.1016/j.apenergy.2014.08.093 Sajjad, 2015, Probabilistic generation of time-coupled aggregate residential demand patterns, IET Gener. Transm. Distrib., 9, 789, 10.1049/iet-gtd.2014.0750 Alsheikh, 2014, Machine learning in wireless sensor networks: Algorithms, strategies, and applications, Commun. Surv. Tutor., 16, 1996, 10.1109/COMST.2014.2320099 Aijaz, 2014, PRMA based cognitive machine-to-machine communication in smart grid networks, IEEE Trans. Veh. Technol, PP Aijaz, 2015, CORPL: A routing protocol for cognitive radio enabled AMI networks, IEEE Trans. Smart Grid, 6, 477, 10.1109/TSG.2014.2324022 Alves, 2015, Enhanced transmit antenna selection scheme for secure throughput maximization without CSI at the transmitter and its applications on smart grids, IEEE Trans. Inf. Forensics Secur.