Toward a clinical practice guide in pharmacogenomics testing for functional polymorphisms of drug-metabolizing enzymes. Gene/drug pairs and barriers perceived in Spain

The development of clinica lpractice recommendations or guidelines for the clinical use of biomarkers is an issue of great importance withr regard to adverse drug reactions.The poten-tial of pharmacogenomicbiomarkers has been extensively investigated in recent years.However,several barriers to implementing the use of pharmacogenomics testing exist.We conducted a survey among members of the Spanish Societies of Pharmacology and Clinical Pharmacology to obtain information about the perception of such barriers and to compare the perceptions of participants about the relative importance of majorgene/drug pairs.Of 11 potential barriers,the highest importance was attributed to lack of institutional support for pharmacogenomic stesting,and to the issues related to the lack of guidelines.Of the proposed gene/drug pairs the highest importance was assigned to HLA-B/abacavir, UGT1A1/irinotecan, and CYP2D6/tamoxifen.In this perspective article,we compare the relative importance of 29 gene/drugpairs in the Spanish study with that of the same pairs in the American Society for Clinical Pharmacology and Therapeutic sstudy,and we provide suggestions and areas of focus to develop a guide for clinical practice in pharmacogenomics testingThe work in the author’s laboratory is financed by Grants PS09/00943, PS09/00469, RETICS RIRAAF RD07/0064/0016, and CIBERehd from Instituto de Salud CarlosIII,Madrid, Spain, and by Grants GR10068 from Junta de Extremadura, Spain. Financed in part with FEDER funds from the European Unio

5G Visualization: The METIS-II Project Approach

[EN] One of the main objectives of the METIS-II project was to enable 5G concepts to reach and convince a wide audience from technology experts to decision makers from non-ICT industries. To achieve this objective, it was necessary to provide easy-to-understand and insightful visualization of 5G. This paper presents the visualization platform developed in the METIS-II project as a joint work of researchers and artists, which is a 3D visualization tool that allows viewers to interact with 5G-enabled scenarios, while permitting simulation driven data to be intuitively evaluated. The platform is a game-based customizable tool that allows a rapid integration of new concepts, allows real-time interaction with remote 5G simulators, and provides a virtual reality-based immersive user experience. As a result, the METIS-II visualization platform has successfully contributed to the dissemination of 5G in different fora and its use will be continued after METIS-II.This work has been performed in the framework of the H2020/5G-PPP project METIS-II cofunded by the EU. The authors wish to thank the rest of METIS-II colleagues who contributed to the development of the METIS-II visualization platform.Martín-Sacristán, D.; Herranz Claveras, C.; Monserrat Del Río, JF.; Szczygiel, A.; Kuruvatti, NP.; Garcia-Roger, D.; Prado-Alvarez, D.... (2018). 5G Visualization: The METIS-II Project Approach. Mobile Information Systems. 1-8. https://doi.org/10.1155/2018/2084950S18Zyda, M. (2005). From visual simulation to virtual reality to games. Computer, 38(9), 25-32. doi:10.1109/mc.2005.297Johnson, C. (2004). Top scientific visualization research problems. IEEE Computer Graphics and Applications, 24(4), 13-17. doi:10.1109/mcg.2004.20Tullberg, H., Popovski, P., Li, Z., Uusitalo, M. A., Hoglund, A., Bulakci, O., … Monserrat, J. F. (2016). The METIS 5G System Concept: Meeting the 5G Requirements. IEEE Communications Magazine, 54(12), 132-139. doi:10.1109/mcom.2016.1500799cmLee, B., Riche, N. H., Isenberg, P., & Carpendale, S. (2015). More Than Telling a Story: Transforming Data into Visually Shared Stories. IEEE Computer Graphics and Applications, 35(5), 84-90. doi:10.1109/mcg.2015.99Yi, J. S., Kang, Y. ah, & Stasko, J. (2007). Toward a Deeper Understanding of the Role of Interaction in Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1224-1231. doi:10.1109/tvcg.2007.70515Campbell, B. D. (2016). Immersive Visualization to Support Scientific Insight. IEEE Computer Graphics and Applications, 36(3), 17-21. doi:10.1109/mcg.2016.6

AL-FEC for streaming services in LTE E-MBMS

3rd Generation Partnership Project specified Application Layer - Forward Error Correction (AL-FEC) to be used for Enhanced Multimedia Broadcast Multicast Services (E-MBMS) in Long Term Evolution (LTE) networks. Specifically, Raptor coding is applied to both streaming and file delivery services. This article focuses on streaming services and investigates the optimum configuration of the AL-FEC mechanism depending on the signal-to-interference plus noise power ratio conditions. These configurations are compared with a scenario without an application layer protection to obtain the potential gain that can be achieved by means of AL-FEC. This article also studies the multiplexing of services within the AL-FEC time interleaving. These analyses were performed using a proprietary system level simulator and assuming both pedestrian and vehicular users. Different quality criterions were used to ensure the completeness of the study. Results show the significant benefit of using AL-FEC in E-MBMS in terms of coverage and service quality.This study was supported by the Spanish Ministry of Science under the project TEC2011-27723-C02-02.Calabuig Gaspar, J.; Monserrat Del Río, JF.; Gozálvez Serrano, D.; Gómez Barquero, D. (2013). AL-FEC for streaming services in LTE E-MBMS. EURASIP Journal on Wireless Communications and Networking. 2013(73):1-12. https://doi.org/10.1186/1687-1499-2013-73S1122013733GPP TS 25.346 V6.4.0, Introduction of the Multimedia Broadcast Multicast Service (MBMS) in the Radio Access Network (RAN); Stage 2, 2005.Deng H, Tao X, Lu J: Qos-aware resource allocation for mixed multicast and unicast traffic in OFDMA networks. EURASIP Journal on Wireless Communications and Networking 2012, 2012(195):1-10. 10.1186/1687-1499-2012-1953GPP TS 26.346 V9.5.0, Multimedia Broadcast/Multicast Service (MBMS); Protocols and codecs, 2011.Shokrollahi A: Raptor codes. IEEE Transactions on Information Theory 2006, 52(6):2251-2567. 10.1109/TIT.2006.8743903GPP TS 25.346 V7.5.0, Introduction of the Multimedia Broadcast/Multicast Service (MBMS) in the Radio Access Network (RAN); Stage 2, 2007.Martín-Sacristán D, Monserrat JF, Cabrejas J, Calabuig D, Garrigas S, Cardona N: On the way towards fourth-generation mobile: 3GPP LTE and LTE-advanced. EURASIP Journal on Wireless Communications and Networking 2009, 1-10. 10.1155/2009/3540893GPP TS 36.211 V.8.5.0, Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation, 2008.3GPP TS 36.300 V9.1.0, Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description, 2009.Monserrat JF, Calabuig J, Fernandez-Aguilella A, Gomez-Barquero D: Joint delivery of unicast and E-MBMS services in LTE networks. IEEE Transactions on Broadcasting. 2012, 58(2):157-167. 10.1109/TBC.2012.2191030Alexiou A, Bouras C, Kokkinos V, Papazois A, Tsichritzis G: Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application, Multimedia broadcasting in LTE networks. Edited by: Muntean GM, Trestian R. Hershey, PA: IGI Global; 2012:269-289.Wang N, Zhang Z: The impact of application layer Raptor FEC on the coverage of MBMS. Radio and Wireless Symposium, 2008 IEEE 2008, 223-226. 10.1109/RWS.2008.4463469Gomez-Barquero D, Fernandez-Aguilella A, Cardona N: Multicast delivery of file download services in evolved 3G mobile networks with HSDPA and MBMS. IEEE Transactions on Broadcasting. 2009, 55(4):742-751. 10.1109/TBC.2009.2032800Stockhammer T, Shokrollahi A, Watson M, Luby M, Gasiba T: Handbook of Mobile Broadcasting: DVB-H, DMB, ISDB-T and Media FLO, Application layer forward error correction for mobile multimedia broadcasting. Edited by: Furhet B, Ahson S. Boca Raton, FL: CRC Press; 2008:239–-280.Afzal J, Stockhammer T, Gasiba T, Xu W: Video streaming over MBMS: a system design approach. Journal of Multimedia. 2006, 1(5):25-35.Alexiou A, Bouras C, Kokkinos V, Papazois A, Tseliou G: Cellular Networks - Positioning, Performance Analysis, Reliability, Forward error correction for reliable e-MBMS transmissions in LTE networks. Edited by: Melikov A. Rijeka, Croatia: InTech; 2011:353-374.Munaretto D, Jurca D, Widmer J: Broadcast video streaming in cellular networks: An adaptation framework for channel, video and AL-FEC rates allocation. Wireless Internet Conference (WICON), 2010 The 5th Annual ICST 2010, 1-9.Bouras C, Kanakis N, Kokkinos V, Papazois A: Application layer forward error correction for multicast streaming over LTE networks. Int. J. Commun. Syst 2012. 10.1002/dac.2321RaptorQ technical overview, Qualcomm Technical Report 2010. http://www.qualcomm.com/instella_api/asset/3cd5b620-afea-012d-72bc-12313804dc61Mladenov T, Kim K, Nooshabadi S: Forward error correction with RaptorQ Code on embedded systems. Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium 2011, 1-4. 10.1109/MWSCAS.2011.6026424Calabuig J, Monserrat JF, Martín-Sacristán D, Olmos J: Comparison of multicast/broadcast services in Long Term Evolution Advanced and IEEE 802.16m networks. Wirel. Commun. Mob. Comput. 2012. 10.1002/wcm.2229Jiang X, Zhu G, Wu W, Gao Y: Design of LTE E-MBMS Dynamic Scheduling Information. Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on 2010, 1-5. 10.1109/WICOM.2010.56002103GPP TS 36.331 V.9.9.0, Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol Specification, 2011.Alberi Morel M-L, Kerboeuf S, Sayadi B, Leprovost Y, Faucheux F: Performance Evaluation of Channel Change for DVB-SH Streaming Services. Communications (ICC), 2010 IEEE International Conference on 2010, 1-6. 10.1109/ICC.2010.5502523WINNER + IMT-Advanced Calibration: Guidelines, software and results. 2009. http://projects.celtic-initiative.org/winner+/WINNER+%20Evaluation%20Group.htmlBrueninghaus K, Astely D, Salzer T, Visuri S, Alexiou A, Karger S, Seraji GA: Link performance models for system level simulations of broadband radio access systems, in Proceedings of 16th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Berlin, Germany 2005, 4: 2306-2311. 10.1109/PIMRC.2005.1651855ITU-R M.2135, Guidelines for evaluation of radio interface technologies for IMT-Advanced. 2008. http://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2135-2008-PDF-E.pdf3GPP TS 36.101 V.9.10.0, Evolved Universal Terrestrial Radio Access (E-UTRA); User Equipment (UE) radio transmission and reception. 2011.Rong L, Ben Haddada O, Elayoubi S-E: Analytical Analysis of the Coverage of a MBSFN OFDMA Network," Global Telecommunications Conference . IEEE GLOBECOM 2008. IEEE 2008, 1-5. 10.1109/GLOCOM.2008.ECP.4593GPP TSG-SA WG4 S4-100861, Relation between MBSFN area and intended MBMS service reception area, 2010.3GPP TR 36.213 V.9.3.0, Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures, 2010

Costs and benefits of automation for astronomical facilities

The Observatorio Astrof\'isico de Javalambre (OAJ{\dag}1) in Spain is a young astronomical facility, conceived and developed from the beginning as a fully automated observatory with the main goal of optimizing the processes in the scientific and general operation of the Observatory. The OAJ has been particularly conceived for carrying out large sky surveys with two unprecedented telescopes of unusually large fields of view (FoV): the JST/T250, a 2.55m telescope of 3deg field of view, and the JAST/T80, an 83cm telescope of 2deg field of view. The most immediate objective of the two telescopes for the next years is carrying out two unique photometric surveys of several thousands square degrees, J-PAS{\dag}2 and J-PLUS{\dag}3, each of them with a wide range of scientific applications, like e.g. large structure cosmology and Dark Energy, galaxy evolution, supernovae, Milky Way structure, exoplanets, among many others. To do that, JST and JAST are equipped with panoramic cameras under development within the J-PAS collaboration, JPCam and T80Cam respectively, which make use of large format (~ 10k x 10k) CCDs covering the entire focal plane. This paper describes in detail, from operations point of view, a comparison between the detailed cost of the global automation of the Observatory and the standard automation cost for astronomical facilities, in reference to the total investment and highlighting all benefits obtained from this approach and difficulties encountered. The paper also describes the engineering development of the overall facilities and infrastructures for the fully automated observatory and a global overview of current status, pinpointing lessons learned in order to boost observatory operations performance, achieving scientific targets, maintaining quality requirements, but also minimizing operation cost and human resources.Comment: Global Observatory Control System GOC

Implementing opportunistic spectrum access in LTE-Advanced

Long term evolution advanced (LTE-A) has emerged as a promising mobile broadband access technology aiming to cope with the increasing traffic demand in wireless networks. However, the enhanced spectral efficiency offered by LTE-A may become futile without a better management of scarce and overcrowded electromagnetic spectrum. In this sense, cognitive radio (CR) has been proposed as a potential solution to the problem of spectrum scarcity. Among all the mechanisms provided by CR, opportunistic spectrum access (OSA) aims at a dynamic and seamless use of certain licensed bands provided the licensee is not harmfully affected. This operation requires spectral awareness in order to avoid interferences with licensed systems. In spite of implementing some spectrum sensing mechanisms, LTE-A technology lacks other tools that are needed in order to improve the knowledge of the radio environment. This work studies the adoption of a Geo-located data base (Geo-DB) that cooperatively retrieves and maintains information regarding the location of unutilized portions of spectrum potentially available for OSA. Moreover, the potential benefit of this LTE-compliant OSA solution is evaluated using a calibrated simulation tool, by which numerical results allow us to optimally configure the system and show that the proposed opportunistic system is able to significantly improve its performance.The authors would like to thank the funding received from the Ministerio de Ciencia e Innovacion within the Project number TEC2011-27723-C02-02 and from the Ministerio de Industria, Turismo y Comercio TSI-020100-2011-266 funds. This article had been written in the framework of the CELTIC project CP08-001 COMMUNE. Study by X. Gelabert is funded by the BP-DGR 2010 scholarship (ref. 00192). The authors would like to acknowledge the contributions of their colleagues.Osa Ginés, V.; Herranz Claveras, C.; Monserrat Del Río, JF.; Gelabert, X. (2012). Implementing opportunistic spectrum access in LTE-Advanced. EURASIP Journal on Wireless Communications and Networking. 2012(99):1-17. https://doi.org/10.1186/1687-1499-2012-99S117201299Martín-Sacristán D, Monserrat JF, Cabrejas-Peñuelas J, Calabuig D, Garrigas S, Cardona N: On the way towards fourth-generation mobile: 3GPP LTE and LTE-Advanced. EURASIP J Wirel Commun Netw 2009, 2009: 1-10.Ratasuk R, Tolli D, Ghosh A: Carrier aggregation in LTE-Advanced. In IEEE 71st Vehicular Technology Conference (VTC 2010-Spring). Taipei; 2010:1-5.Wang H, Rosa C, Pedersen K: Performance of uplink carrier aggregation in LTE-advanced systems. In IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall). Ottawa; 2010:1-5.Tandra R, Sahai A, Mishra S: What is a spectrum hole and what does it take to recognize one? Proc IEEE 2009, 97(5):824-848.Mitola IJ, Maguire JGQ: Cognitive radio: making software radios more personal. IEEE Personal Commun 1999, 6(4):13-18. 10.1109/98.788210Haykin S: Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 2005, 23(2):201-220.IEEE 802.22 Working Group on Wireless Regional Area Networks. [ http://www.ieee802.org/22/ ]ITU-R BT1368: Planning criteria for digital terrestrial television services in the VHF/UHF bands.ITU-R BT1786: Criterion to assess the impact of interference to the terrestrial broadcasting service (BS).Kawade S, Nekovee M: Cognitive radio-based urban wireless broadband in unused TV bands. In 20th International Radioelektronika Conference. Brno; 2010:1-4.Modlic B, Sisul G, Cvitkovic M: Digital dividend--Opportunities for new mobile services. In International Symposium ELMAR 2009 (ELMAR'09). Zadar; 2009:1-8.Zhao X, Guo Z, Guo Q: A cognitive based spectrum sharing scheme for LTE advanced systems. In International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moscow; 2010:965-969.Hussain S, Fernando X: Spectrum sensing in cognitive radio networks: Up-to-date techniques and future challenges. In IEEE Toronto International Conference on Science and Technology for Humanity (TIC-STH). Toronto; 2009:736-741.Xu Y, Sun Y, Li Y, Zhao Y, Zou H: Joint sensing period and transmission time optimization for energy-constrained cognitive radios. EURASIP J Wirel Commun Netw 2010, 2010: 1-16.Yucek T, Arslan H: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun Surv Tutor 2009, 11: 116-130.Cabric D, Mishra S, Brodersen R: Implementation issues in spectrum sensing for cognitive radios. In Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers. Volume 1. Pacific Grove; 2004:772-776.Zeng Y, Liang YC, Hoang A, Peh E: Reliability of spectrum sensing under noise and interference uncertainty. In IEEE International Conference on Communications Workshops, 2009. ICC Workshops. Dresden; 2009:1-5.Bixio L, Ottonello M, Raffetto M, Regazzoni CS: Comparison among cognitive radio architectures for spectrum sensing. EURASIP J Wirel Commun Netw 2011, 2011: 1-18.Mustonen M, Matinmikko M, Mammela A: Cooperative spectrum sensing using quantized soft decision combining. In 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2009 (CROWNCOM'09). Hannover; 2009:1-5.Xiao L, Liu K, Ma L: A weighted cooperative spectrum sensing in cognitive radio networks. In International Conference on Information Networking and Automation (ICINA). Volume 2. Kunming; 2010:45-48.Pan Q, Chang Y, Zheng R, Zhang X, Wang Y, Yang D: Solution of information exchange for cooperative sensing in cognitive radios. In IEEE Wireless Communications and Networking Conference, 2009 (WCNC'2009). Budapest; 2009:1-4.Masri A, Chiasserini CF, Perotti A: Control information exchange through UWB in cognitive radio networks. In 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC). Modena; 2010:110-115.Celebi H, Arslan H: Utilization of location information in cognitive wireless networks. IEEE Wirel Commun 2007, 14(4):6-13.FCC: Notice of Proposed Rulemaking, in the Matter of Unlicensed Operation in the TV Broadcast Bands (ET Docket no. 04-186) and Additional Spectrum for Unlicensed.Marcus MJ, Kolodzy P, Lippman A: Reclaiming the vast wasteland: why unlicensed use of the white space in the TV bands will not cause interference to DTV viewers. New America Foundation: wireless future program, tech rep 2005.Nam H, Ghorbel M, Alouini M: Proc. of the Fifth International Conference on Cognitive Radio Oriented. In Proc of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks Communications (CROWNCOM). Cannes; 2010:1-5.IEEE Std 80221-2008: IEEE Standard for Local and Metropolitan Area Networks-Part 21: Media Independent Handover. 2009.3GPP TS 36133: Evolved Universal Terrestrial Radio Access (E-UTRA); Requirements for support of radio resource management.Sesia S, Baker M, Toufik I: LTE, the UMTS long term evolution: from theory to practice. Wiley, New Haven; 2009.Digham FF, Alouini MS, Simon MK: On the energy detection of unknown signals over fading channels. In IEEE International Conference on Communications, 2003 (ICC'03). Volume 5. Anchorage; 2003:3575-3579.Ghasemi A, Sousa ES: Collaborative spectrum sensing for opportunistic access in fading environments. In First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN). 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D6.3 Intermediate system evaluation results

The overall purpose of METIS is to develop a 5G system concept that fulfil s the requirements of the beyond-2020 connected information society and to extend today’s wireless communication systems for new usage cases. First, in this deliverable an updated view on the overall METIS 5G system concept is presented. Thereafter, simulation results for the most promising technology components supporting the METIS 5G system concept are reported. Finally, s imulation results are presented for one relevant aspect of each Horizontal Topic: Direct Device - to - Device Communication, Massive Machine Communication, Moving Networks, Ultra - Dense Networks, and Ultra - Reliable Communication.Popovski, P.; Mange, G.; Fertl, P.; Gozálvez - Serrano, D.; Droste, H.; Bayer, N.; Roos, A.... (2014). D6.3 Intermediate system evaluation results. http://hdl.handle.net/10251/7676

METIS research advances towards the 5G mobile and wireless system definition

[EN] The Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS) project is laying the foundations of Fifth Generation (5G) mobile and wireless communication system putting together the point of view of vendors, operators, vertical players, and academia. METIS envisions a 5G system concept that efficiently integrates new applications developed in the METIS horizontal topics and evolved versions of existing services and systems. This article provides a first view on the METIS system concept, highlights the main features including architecture, and addresses the challenges while discussing perspectives for the further research work.Part of this work has been performed in the framework of the FP7 project ICT-317669 METIS, which is partly funded by the European Commission. The authors would like to acknowledge the contributions of their colleagues in METIS with special thanks to Petar Popovski, Peter Fertl, David Gozalvez-Serrano, Andreas Hoglund, Zexian Li, and Krystian Pawlak. Also thanks to Josef Eichinger and Malte Schellmann for the fruitful discussions during the revision of this article.Monserrat Del Río, JF.; Mange, G.; Braun, V.; Tullberg, H.; Zimmermann, G.; Bulakci, O. (2015). METIS research advances towards the 5G mobile and wireless system definition. EURASIP Journal on Wireless Communications and Networking. 2015(53):1-16. https://doi.org/10.1186/s13638-015-0302-9S116201553Cisco, in Global Mobile Data Traffic Forecast Update, 2014–2019 White Paper, February 2015. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.pdfMETIS, in Mobile and wireless communications Enablers for the Twenty-twenty Information Society, EU 7th Framework Programme project, http://www.metis2020.com .ICT-317669 METIS project, in Scenarios, requirements and KPIs for 5G mobile and wireless system, Deliverable D1.1, May 2013, https://www.metis2020.com/documents/deliverables/B Ahlgren, C Dannewitz, C Imbrenda, D Kutscher, B Ohlman, A survey of information-centric networking. IEEE Commun Mag 50(7), 26–36 (2012)A Osseiran, F Boccardi, V Braun, K Kusume, P Marsch, M Maternia, O Queseth, M Schellmann, H Schotten, H Taoka, H Tullberg, MA Uusitalo, B Timus, M Fallgren, Scenarios for the 5G mobile and wireless communications: the vision of the METIS project. IEEE Commun Mag 52(5), 26–35 (2014)D Gomez-Barquero, D Calabuig, JF Monserrat, N Garcia and J Perez-Romero, Hopfield neural network - based approach for joint dynamic resource allocation in heterogeneous wireless networks, in Proceedings 64th IEEE Vehicular Technology Conference (VTC), Montreal. 2006JF Monserrat, P Sroka, G Auer, J Cabrejas, D Martin-Sacristan, A Mihovska, R Rossi, A. Saul, R. Schoenen, Advanced Radio Resource Management for IMT-Advanced in WINNER+ (II), in Proc. Future Network and Mobile Summit, pp.1-9, June 2010.F Boccardi, RW Heath, A Lozano, TL Marzetta, P Popovski, Five disruptive technology directions for 5G. IEEE Commun Mag 52(2), 74–80 (2014)JG Andrews, S Buzzi, C Wan, SV Hanly, A Lozano, ACK Soong, JC Zhang, What will 5G be? IEEE J Sel Area Comm 32(6), 1065–1082 (2014)MN Tehrani, M Uysal, H Yanikomeroglu, Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions. IEEE Commun Mag 52(5), 86–92 (2014)N Bhushan, L Junyi, D Malladi, R Gilmore, D Brenner, A Damnjanovic, R Sukhavasi, C Patel, S Geirhofer, Network densification: the dominant theme for wireless evolution into 5G. IEEE Commun Mag 52(2), 82–89 (2014)K Okino, T Nakayama, C Yamazaki, H Sato, Y Kusano, Pico Cell Range Expansion with Interference Mitigation toward LTE-Advanced Heterogeneous Networks, in Proc. of IEEE International Conference on Communications (ICC), 2011.P Mugen, L Dong, W Yao, L Jian Li, C Hsiao-Hwa, Self-configuration and self-optimization in LTE-advanced heterogeneous networks. 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