[1] Ericsson Mobility Report, http://www.ericsson.com/res/docs/2013/ericsson-mobilityreport- november-2013.pdf, November 2013.
[2] E.G., Larsson, O., Edfors, F., Tufvesson, and T. L., Marzetta, “Massivemimo for next generation wireless systems,” IEEE Communications Magazine, vol. 52, no. 2, pp. 186–195, February 2014.
[3] J.G., Andrews, “Sevenways that hetnets are a cellular paradigm shift,” IEEE Communications Magazine, vol. 51, no. 3, pp. 136–144, March 2013.
[4] R., Irmer, H., Droste, P., Marsch, M., Grieger, G., Fettweis, S., Brueck, H. P., Mayer, L., Thiele, and V., Jungnickel, “Coordinated multipoint: concepts, performance, and field trial results,” IEEE Communications Magazine, vol. 49, no. 2, pp. 102–111, February 2011.
[5] China Mobile, “C-RAN: the road towards green RAN,” White Paper, ver 2 (2011).
[6] U., Paul, A. P., Subramanian, M. M., Buddhikot, and S. R., Das, “Understanding traffic dynamics in cellular data networks,” in Proceedings IEEE International Conference on Computer Communications (INFOCOM), Orlando, FL, USA, June 2011.
[7] S., Woo, E., Jeong, S., Park, et al., “Comparison of caching strategies in modern cellular backhaul networks,” in Proceedings ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Taipei, Taiwan, June 2013.
[8] N., Yu and Q., Han, “Context-aware communities and their impact on information influence in mobile social networks,” in Proceedings IEEE International Conference on Pervasive Computing and Communications (PERCOM) Workshops, Lugano, Switzerland, March 2012.
[9] Open Networking Foundation, “Software-defined networking: the new norm for networks,” white paper, 2012.
[10] M. C., Teich and B. E. A., Saleh, Fundamentals of Photonics, Canada: Wiley Interscience, 1991.
[11] P., Lukowicz, A., Pentland, and A., Frescha, “From context awareness to socially aware computing,” IEEE Pervasive Computing, vol. 11, no. 1, pp. 32–14, January–March 2012.
[12] B., Sundararaman, U., Buy, and A. D., Kshemkalyani, “Clock synchronization for wireless sensor networks: a survey,” Ad Hoc Networks, vol. 3, no. 3, pp. 281–323, December 2003.
[13] C. P., Liu and A. J., Seeds, “Transmission of wireless mimo-type signals over a single optical fiber without wdm,” IEEE Transactions on Microwave Theory and Techniques, vol. 58, no. 11, pp. 3094–3102, November 2010.
[14] A. E., Gamal and Y. H., Kim, Network Information Theory, Cambridge University Press, 2011.
[15] A., Sanderovich, O., Somekh, H. V., Poor, and S., Shamai, “Uplink macro diversity of limited backhaul cellular network,” IEEE Trans. Information Theory, vol. 55, no. 8, pp. 3457–3478, August 2009.
[16] A. D., Coso and S., Simoens, “Distributed compression for mimo coordinated networks with a backhaul constraint,” IEEE Transactions on Communications, vol. 8, no. 9, pp. 4698–4709, September 2009.
[17] Y., Zhou and W., Yu, “Optimized backhaul compression for uplink cloud radio access network,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1295–1307, June 2014.
[18] S., Park, O., Simeone, O., Sahin, and S., Shamai, “Joint decompression and decoding for cloud radio access networks,” IEEE Signal Processing Letters, vol. 20, no. 5, pp. 503–506, May 2013.
[19] S., Park, O., Simeone, O., Sahin, and S., Shamai, “Robust and efficient distributed compression for cloud radio access networks,” IEEE Transactions on Vehicular Technology, vol. 62, no. 2, pp. 692–703, February 2013.
[20] L., Zhou and W., Yu, “Uplink multicell processing with limited backhaul via per-base-station successive interference cancellation,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 10, pp. 1981–1993, October 2013.
[21] O., Simeone, O., Somekh, and S., Shamai, “Downlink multicell processing with limitedbackhaul capacity,” EURASIP Journal on Advances in Signal Processing, pp. 1–10, May 2009.
[22] S. H., Park, O., Simeone, O., Sahin, and S., Shamai, “Joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks,” IEEE Transactions on Signal Processing, vol. 61, no. 22, pp. 5646–5658, November 2013.
[23] P., Marsch and G., Fettweis, “A framework for optimizing the uplink performance of distributed antenna systems under a constrained backhaul,” in Proceedings IEEE International Conference on Communications (ICC), Glasgow, Scotland, June 2007.
[24] R., Zhang and J. M., Cioffi, “Exploiting opportunistic multiuser detection in decentralized multiuser mimo systems,” IEEE Transactions on Wireless Communications, vol. 10, no. 8, pp. 2474–2485, August 2011.
[25] S., Park, C. B., Chae, and S., Bahk, “Before/after precoded massive mimo in cloud radio access networks,” in Proceedings International Conference on Communications (ICC) Workshop, Budapest, Hungary, June 2013.
[26] P. D., Kerret and D., Gesbert, “Sparse precoding in multicell mimo systems,” in Proceedings IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, April 2012.
[27] M., Hong, R., Sun, H., Baligh, and Z. Q., Luo, “Joint base station clustering and beamformer design for partial coordinated transmission in heterogeneous networks,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 2, pp. 226–240, February 2013.
[28] F., Zhuang and V. K. N., Lau, “Backhaul limited asymmetric cooperations for mimo cellular networks via semidefinite relaxation,” IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 684–693, February 2014.
[29] J., Zhao, T., Quek, and Z., Lei, “Coordinated multipoint transmission with limited backhaul data transfer,” IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2762– 2775, June 2013.
[30] R., Zakhour and D., Gesbert, “Optimized data sharing in multicell mimo with finite backhaul capacity,” IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6102–6111, December 2011.
[31] Q., Zhang, C., Yang, and A., Molisch, “Downlink base station cooperative transmission under limited-capacity backhaul,” IEEE Transactions on Wireless Communications, vol. 12, no. 8, pp. 3746–3759, August 2013.
[32] A., Chowdhery, W., Yu, and J. M., Cioffi, “Cooperative wireless multicell ofdma network with backhaul capacity constraints,” in Proceedings IEEE International Conference on Communications (ICC), Kyoto, Japan, June 2011.
[33] N., Golrezaei, K., Shanmugam, A. G., Dimakis, A. F., Molisch, and G., Caire, “Femtocaching: wireless video content delivery through distributed caching helpers,” in Proceedings International Conference on Computer Communications (INFOCOM), Orlando, FL, USA, March 2012.
[34] A., Liu and V., Lau, “Cache-enabled opportunistic cooperative mimo for video streaming in wireless systems,” IEEE Transactions on Signal Processing, vol. 62, no. 2, pp. 390–402, January 2014.
[35] N., Golrezaei, A. G., Dimakis, and A. F., Molisch, “Wireless device-to-device communications with distributed caching,” in IEEE International Symposium on Information Theory Proceedings (ISIT), Cambridge, MA, USA, July 2012.
[36] M., Ji, G., Caire, and A. F., Molisch, “Optimal throughput-outage trade-off in wireless one-hop caching networks,” in IEEE International Symposium on Information Theory Proceedings (ISIT), Istanbul, Turkey, July 2012.
[37] K., Tutschku and P., Tran-Gia, “Spatial traffic estimation and characterization for mobile communication network design,” IEEE Journal on Selected Areas in Communications, vol. 16, no. 5, pp. 804–811, June 1998.
[38] S., Ha, S., Sen, C., Joe-Wong, Y., Im, and M., Chiang, “Tube: time-dependent pricing for mobile data,” ACM SIGCOMM Computer Communication Review, vol. 42, no. 4, pp. 247–258, August 2012.
[39] F., Yu and V., Leung, “Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks,” Computer Networks, vol. 38, no. 5, pp. 577–589, October 2002.
[40] A., Krause, A., Smailagic, and D. P., Siewiorek, “Context-aware mobile computing: learning context-dependent personal preferences from a wearable sensor array,” IEEE Transactions on Mobile Computing, vol. 5, no. 2, pp. 113–127, February 2006.
[41] H., Zang and J. C., Bolot, “Mining call and mobility data to improve paging efficiency in cellular networks,” in Proceedings ACM Mobile Computing and Networking (MobiCom), Montreal, Canada, September 2007.
[42] G., Liu and G. M., Jr, “A class of mobile motion prediction algorithms for wireless mobile computing and communication,” Mobile Networks and Applications, vol. 1, no. 2, pp. 113–121, October 1996.
[43] T., Liu, P., Bahl, and I., Chlamtac, “Mobility modeling, location tracking, and trajectory prediction in wireless atm networks,” IEEE Journal on Selected Areas in Communications, vol. 6, no. 6, pp. 922–936, August 1998.
[44] M. M., Zonoozi and P., Dassanayake, “User mobility modeling and characterization of mobility patterns,” IEEE Journal on Selected Areas in Communications, vol. 15, no. 7, pp. 1239–1252, September 1997.
[45] P. S., Prasad and P., Agrawal, “Movement prediction in wireless networks using mobility traces,” in Proceedings IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA, January 2010.
[46] P. N., Pathirana, A. V., Savkin, and S., Jha, “Mobility modelling and trajectory prediction for cellular networks with mobile base stations,” in Proceedings ACM International Symposium on Mobile ad hoc Networking and Computing (MobiHoc), Annapolis, MD, USA, June 2003.
[47] T., Zhang, E., van den Berg, J., Chennikara, et al., “User mobility modeling and characterization of mobility patterns,” IEEE Journal on Selected Areas in Communications, vol. 19, no. 10, pp. 1931–1941, October 2001.
[48] I. F., Akyildiz and W., Wang, “The predictive user mobility profile framework for wireless multimedia networks,” IEEE/ACM Trans. Networking, vol. 12, no. 6, pp. 1021–1035, December 2004.
[49] W. C., Peng and M. S., Chen, “Mining user moving patterns for personal data allocation in a mobile computing system,” in Proceedings IEEE International Conference on Parallel Processing (ICPP), Toronto, Canada, August 2000.
[50] F., Yu and V., Leung, “Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks,” Computer Networks, vol. 38, no. 5, pp. 577–589, April 2002.
[51] E., Miluzzo, N. D., Lane, K., Fodor, et al., “Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application,” in Proceedings ACMconference on Embedded Network Sensor Systems (Sensys), Raleigh, NC, USA, November 2008.
[52] L., Gueguen and B., Sayrac, “Traffic prediction from wireless environment sensing,” in Proceedings IEEE Wireless Communications and Networking Conference (WCNC), Budapest, Hungary, April 2009.
[53] N., Eagle and A., Pentland, “Reality mining: sensing complex social systems,” Personal and Ubiquitous Computing, vol. 10, no. 4, pp. 255–268, May 2006.
[54] A., Sridharan and J., Bolot, “Location patterns of mobile users a large-scale study,” in Proceedings IEEE International Conference on Computer Communications (INFOCOM), Turin, Italy, April 2013.
[55] C., Jedrzycki and V. C. M., Leung, “Probability distribution of channel holding time in cellular telephony systems,” in Proceedings IEEE Vehicular Technology Conference (VTC), Atlanta, GA, USA, April 1996.
[56] K., Farrahi and D., Gatica-Perez, “What did you do today?: discovering daily routines from large-scale mobile data,” in Proceedings ACM International Conference on Multimedia, Vancouver, BC, Canada, October 2008.
[57] N., Li and G., Chen, “Analysis of a location-based social network,” in Proceedings IEEE International Conference on Computational Science and Engineering (CSE), Vancouver, BC, Canada, August 2009.
[58] K. L. A., Yau, P., Komisarczuk, and P. D., Teal, “Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues,” Journal of Network and Computer Applications, vol. 35, no. 1, pp. 253–267, January 2012.
[59] D. P., Palomar and M., Chiang, “A tutorial on decomposition methods fornetwork utility maximization,” IEEE Journal on Selected Areas in Communications, vol. 24, no. 8, pp. 1439–1451, August 2006.
[60] S., Boyd, N., Parikh, E., Chu, B., Peleato, and J., Eckstein, “Distributed optimization and statistical learning via the alternating direction method of multipliers,” Foundations and Trends in Machine Learning, vol. 3, no. 1, pp. 1–122, January 2011.
[61] G., Mateos and G. B., Giannakis, “Robust PCA as bilinear decompositionwith outlier-sparsity regularization,” IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5176–5190, October 2012.
[62] N. D., Sidiropoulos, G. B., Giannakis, and R., Bro, “Blind PARAFAC receivers for DS-CDMA systems,” IEEE Transactions on Signal Processing, vol. 48, no. 3, pp. 810–823, March 2000.
[63] E., Acar and B., Yener, “Unsupervised multiway data analysis: A literature survey,” IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 1, pp. 6–20, January 2009.
[64] N. D., Sidiropoulos and A., Kyrillidis, “Multi-way compressed sensing for sparse low-rank tensors,” IEEE Signal Processing Letters, vol. 19, no. 11, pp. 757–760, October 2012.
[65] B., Settles, “Active learning literature survey,” Technical Report, University of Wisconsin, Madison, vol. 52, pp. 55–66, January 2010.
[66] G. E., Hinton, S., Osindero, and Y. W., Teh, “A fast learning algorithm for deep belief nets,” Neural Computation, vol. 18, no. 7, pp. 1527–1554, July 2006.
[67] P., Blasco and D., Gunduz, “Learning-based optimization of cache content in a small cell base station,” in IEEE International Conference on Communications (ICC) 2014, 2014, accepted and available at http://arxiv.org/abs/1402.3247.
[68] S., Shalev-Shwartz, “Online learning and online convex optimization,” Foundations and Trends in Machine Learning, vol. 4, no. 2, pp. 107–194, February 2012.
[69] M., Satyanarayanan, “Mobile computing: the next decade,” ACM SIGMOBILE Mobile Computing and Communications Review, vol. 15, no. 2, pp. 2–10, January 2011.
[70] E. E., Marinelli, “Hyrax: cloud computing on mobile devices using mapreduce,” Masters Thesis, Carnegie Mellon University, 2009.
[71] G., Huerta-Canepa and D., Lee, “A virtual cloud computing provider for mobile devices,” in Proceedings ACM Workshop on Mobile Cloud Computing and Services: Social Networks and Beyond (MCS), San Francisco, CA, USA, June 2010.
[72] M., Satyanarayanan, P., Bahl, R., Caceres, and N., Davies, “The case for vm-based cloudlets in mobile computing,” IEEE Pervasive Computing, vol. 8, no. 4, pp. 14–23, October– December 2009.
[73] M., Webb, Z., Li, P., Bucknell, T., Moulsley, and S., Vadgama, “Future evolution in wireless network architectures: towards a 'cloud of antennas’,” in Proceedings IEEE Vehicular Technology Conference (VTC), Quebec City, Canada, September 2012.
[74] P., Papakos, L., Capra, and D. S., Rosenblum, “Volare: context-aware adaptive cloud service discovery for mobile systems,” in Proceedings ACM International Workshop on Adaptive and Reflective Middleware, Bangalore, India, November 2010.
[75] N., Ravi, J., Scott, L., Han, and L., Iftode, “Context-aware battery management for mobile phones,” in Pervasive Computing and Communications (PerCom), Hong Kong, China, March 2008.
[76] I., Roussaki, N., Kalatzis, N., Liampotis, et al., “Context-awareness inwireless and mobile computing revisited to embrace social networking,” IEEE Communications Magazine, vol. 50, no. 6, pp. 74–81, June 2012.
[77] H., Kim and N., Feamster, “Improving network management with software defined networking,” IEEE Communications Magazine, vol. 51, no. 2, pp. 114–119, February 2013.
[78] N., McKeown, T., Anderson, H., Balakrishnan, et al., “Openflow: enabling innovation in campus networks,” ACM SIGCOMM Computer Communication Review, vol. 38, no. 2, pp. 69–74, March 2008.
[79] N., Gude, T., Koponen, J., Pettit, et al., “Nox: towards an operating system for networks,” ACM SIGCOMM Computer Communication Review, vol. 38, no. 3, pp. 105–110, July 2008.
[80] W., Tuttlebee, Software Defined Radio: Origins, Drivers, and International Perspectives, West Sussex, England: John Wiley & Sons, 2002.
[81] K. K., Yap, R., Sherwood, M., Kobayashi, et al., “Blueprint for introducing innovation into wireless mobile networks,” in Proceedings ACM SIGCOMM Workshop, New Delhi, India, August 2010.
[82] A., Gudipati, D., Perry, L. E., Li, and S., Katti, “Softran: software defined radio access network,” in Proceedings ACM SIGCOMM Workshop, Hong Kong, China, August 2013.
[83] X., Jin, L. E., Li, and L., Vanbevery, “Softcell: scalable and flexible cellular core network architecture,” in Proceedings ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT), Santa Barbara, CA, USA, December 2013.
[84] W. C., Liao, M., Hong, H., Farmanbar, et al., “Min flow rate maximization for software defined radio access networks,” http://arxiv.org/abs/1312.5345, 2013.