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A limited feedback scheme based on spatially correlated channels for coordinated multipoint systems

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A limited feedback scheme based on spatially correlated channels for coordinated multipoint systems

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dc.contributor.author Domene Oltra, Fernando es_ES
dc.contributor.author Piñero, Gema es_ES
dc.contributor.author Botella Mascarell, Carmen es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.date.accessioned 2015-09-15T10:58:17Z
dc.date.available 2015-09-15T10:58:17Z
dc.date.issued 2012
dc.identifier.issn 1687-1499
dc.identifier.uri http://hdl.handle.net/10251/54650
dc.description.abstract High spectral efficiency can be achieved in the downlink of multi-antenna coordinated multi-point systems provided that the multiuser interference is appropriately managed at the transmitter side. For this sake, downlink channel information needs to be sent back by the users, thus reducing the rate available at the uplink channel. The amount and type of feedback information required has been extensively studied and many limited feedback schemes have been proposed lately. A common pattern to all of them is that achieving low rates of feedback information is possible at the cost of increasing complexity at the user side and, sometimes, assuming that some statistics of the channel are known. In this article, we propose a simple and versatile limited feedback scheme that exploits the spatial correlation at each multi-antenna base station (BS) without requiring any previous statistical information of the channel and without adding significant computational complexity. It is based on the separate quantization of the channel impulse response modulus and phase and it shows better mean square error performance than the standard scheme based on quantization of real and imaginary parts. In order to evaluate the performance of the downlink regarding multiuser interference management, different precoding techniques at the BSs, such as zero-forcing (ZF), Tomlinson-Harashima precoding (THP) and lattice reduction Tomlinson- Harashima precoding (LRTHP), have been evaluated. Simulations results show that LRTHP and THP present a higher robustness than ZF precoding against channel quantization errors but at the cost of a higher complexity at the BS. Regarding sum-capacity and bit error rate performances, our versatile scheme achieves better results than the standard one in the medium and high SNR regime, that is, in the region where quantization errors are dominant against noise, for the same feedback cost measured in bits per user. es_ES
dc.description.sponsorship The authors would like to thank the anonymous reviewers for their valuable comments and suggestions, which have greatly helped to improve the quality of this work. This work has been supported by the Spanish Ministry of Science and Innovation through CICYT Grant TEC2009-13741, Regional Government Generalitat Valenciana through Grant PROMETEO/2009/013, and by Universitat Politecnica de Valencia through its PAID-FPI program. C. Botella's work is supported by the Spanish MEC Grants CONSOLIDER-INGENIO 2010 CSD2008-00010 "COMON-SENS" and COSIMA TEC2010-19545-C04-01. The authors are within VLC/campus "Sustainable Communications and Computing (COCOS)" cluster. en_EN
dc.language Inglés es_ES
dc.publisher SpringerOpen es_ES
dc.relation Spanish Ministry of Science and Innovation through CICYT TEC2009-13741 es_ES
dc.relation Regional Government Generalitat Valenciana PROMETEO/2009/013 es_ES
dc.relation Universitat Politecnica de Valencia through its PAID-FPI program es_ES
dc.relation Spanish MEC CONSOLIDER-INGENIO 2010 CSD2008-00010 es_ES
dc.relation COSIMA TEC2010-19545-C04-01 es_ES
dc.relation.ispartof EURASIP Journal on Wireless Communications and Networking es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Wireless communications es_ES
dc.subject MIMO es_ES
dc.subject Limited feedback es_ES
dc.subject Precoding es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title A limited feedback scheme based on spatially correlated channels for coordinated multipoint systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/1687-1499-2012-176
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Domene Oltra, F.; Piñero, G.; Botella Mascarell, C.; Gonzalez, A. (2012). A limited feedback scheme based on spatially correlated channels for coordinated multipoint systems. EURASIP Journal on Wireless Communications and Networking. 2012(176):1-15. doi:10.1186/1687-1499-2012-176 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1186/1687-1499-2012-176 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2012 es_ES
dc.description.issue 176 es_ES
dc.relation.senia 228750 es_ES
dc.relation.references Costa M: Writing on dirty paper (Corresp.). IEEE Trans Inf Theory 1983, 29(3):439-441. 10.1109/TIT.1983.1056659 es_ES
dc.relation.references Goldsmith A, Jafar S, Jindal N, Vishwanath S: Capacity limits of MIMO channels. IEEE J Sel Areas Commun 2003, 21(5):684-702. 10.1109/JSAC.2003.810294 es_ES
dc.relation.references Caire G, Shamai S: On the achievable throughput of a multiantenna gaussian broadcast channel. IEEE Trans Inf Theory 2003, 49(7):1691-1706. 10.1109/TIT.2003.813523 es_ES
dc.relation.references Peel C, Hochwald B, Swindlehurst A: A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization. IEEE Trans Commun 2005, 53: 195-202. 10.1109/TCOMM.2004.840638 es_ES
dc.relation.references Windpassinger C, Fischer R, Vencel T, Huber J: Precoding in multiantenna and multiuser communications. IEEE Trans Wirel Commun 2004, 3(4):1305-1316. 10.1109/TWC.2004.830852 es_ES
dc.relation.references Xu D, Huang Y, Yang L: Improved nonlinear multiuser precoding using lattice reduction. Signal Image Video Process 2009, 3: 47-52. 10.1007/s11760-008-0058-3 es_ES
dc.relation.references Roger S, Domene F, Gonzalez A, Almenar V, Piñero G: An evaluation of precoding techniques for multiuser communication systems. In Proceedings of the 7th IEEE International Symposium on Wireless Communication Systems. York; 2010:295-299. es_ES
dc.relation.references Shu F, Gang W, Shao-Qian L: Optimal multiuser MIMO linear precoding with LMMSE receiver. EURASIP J Wirel Commun Netw 2009, 2009: 1-10. es_ES
dc.relation.references Gesbert D, Kountouris M, Heath R, Chae CB, Salzer T: Shifting the MIMO paradigm. IEEE Signal Process Mag 2007, 24(5):36-46. es_ES
dc.relation.references Conte E, Tomasin S, Benvenuto N: A comparison of scheduling strategies for MIMO broadcast channel with limited feedback on OFDM systems. EURASIP J Wirel Commun Netw 2010, 2010: 1-12. es_ES
dc.relation.references Stuber G, Barry J, McLaughlin S, Li Y, Ingram M, Pratt T: Broadband MIMO-OFDM wireless communications. Proc IEEE 2004, 92(2):271-294. 10.1109/JPROC.2003.821912 es_ES
dc.relation.references 3GPP TS 36.211 V8.9.0: Evolved universal terrestrial radio access (E-UTRA); Physical channels and modulation. 2009. es_ES
dc.relation.references 3GPP TS 36.201, V10.0.0: Evolved universal terrestrial radio access (E-UTRA); Physical layer - general description. 2010. es_ES
dc.relation.references Pedersen K, Frederiksen F, Rosa C, Nguyen H, Garcia L, Wang Y: Carrier aggregation for LTE-advanced: functionality and performance aspects. IEEE Commun Mag 2011, 49(6):89-95. es_ES
dc.relation.references Trivellato M, Tomasin S, Benvenuto N: On channel quantization and feedback strategies for multiuser MIMO-OFDM downlink systems. IEEE Trans Commun 2009, 57(9):2645-2654. es_ES
dc.relation.references Choi J, Heath R: Interpolation based transmit beamforming for MIMO-OFDM with limited feedback. IEEE Trans Signal Process 2005, 53(11):4125-4135. es_ES
dc.relation.references Domene F, Piñero G, de Diego M, Gonzalez A: Performance of multiuser MIMO-OFDM precoding techniques with quantized channel information. In Proceedings of the 7th IEEE International Symposium on Wireless Communication Systems. York; 2010:56-60. es_ES
dc.relation.references Shirani-Mehr H, Caire G: Channel state feedback schemes for multiuser MIMO-OFDM downlink. IEEE Trans Commun 2009, 57(9):2713-2723. es_ES
dc.relation.references Castro P, Joham M, Castedo L, Utschick W: Robust MMSE linear precoding for multiuser MISO systems with limited feedback and channel prediction. In Proceedings of the 19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Cannes; 2008:1-5. es_ES
dc.relation.references 3GPP TR 36.814, V9.0.0: Evolved universal terrestrial radio access (E-UTRA); Further advancements for E-UTRA physical layer aspects. 2010. es_ES
dc.relation.references Gesbert D, Hanly S, Huang H, Shamai Shitz S, Simeone O, Yu W: Multi-cell MIMO cooperative networks: a new look at interference. IEEE J Sel Areas Commun 2010, 28(9):1380-1408. es_ES
dc.relation.references Irmer R, Droste H, Marsch P, Grieger M, Fettweis G, Brueck S, Mayer HP, Thiele L, Jungnickel V: Coordinated multipoint: concepts, performance, and field trial results. IEEE Commun Mag 2011, 49(2):102-111. es_ES
dc.relation.references Björnson E, Zakhour R, Gesbert D, Ottersten B: Cooperative multicell precoding: rate region characterization and distributed strategies with instantaneous and statistical CSI. IEEE Trans Signal Process 2010, 58(8):4298-4310. es_ES
dc.relation.references Papadogiannis A, Gesbert D, Hardouin E: A dynamic clustering approach in wireless networks with multi-cell cooperative processing. In Proceedigns of the 2008 IEEE International Conference on Communications. Beijing; 2008:4033-4037. es_ES
dc.relation.references 3GPP TS 36.211, V10.0.0: Evolved universal terrestrial radio access (E-UTRA); Physical channels and modulation. 2010. es_ES
dc.relation.references Minn H, Al-Dhahir N: Optimal training signals for MIMO-OFDM channel estimation. IEEE Trans Wirel Commun 2006, 5(5):1158-1168. es_ES
dc.relation.references Thomas T, Mondal B, Ghosh A: CSI reference signal designs for enabling closed-loop MIMO feedback. In Proceedings of the 72nd IEEE Vehicular Technology Conference Fall. Ottawa; 2010:1-5. es_ES
dc.relation.references Koivisto T, Schober K, Kuosmanen T, Roman T, Enescu M: Reference signal design for flexible MIMO operation in LTE-advanced downlink. In Proceedings of the 71st IEEE Vehicular Technology Conference Spring. Taipei; 2010:1-5. es_ES
dc.relation.references Sesia S, Toufik I, Baker M: LTE: the UMTS Long Term Evolution: From Theory to Practice. John Wiley & Sons, Chichester; 2009. es_ES
dc.relation.references Doukopoulos X, Legouable R: Robust channel estimation via FFT interpolation for multicarrier systems. In Proceedings of the 65th IEEE Vehicular Technology Conference Spring. Dublin; 2007:1861-1865. es_ES
dc.relation.references Ancora A, Bona C, Slock D: Down-sampled impulse response least-squares channel estimation for LTE OFDMA. In Proceedings of the 32nd IEEE International Conference on Acoustics, Speech and Signal Processing. Volume 3. Honolulu; 2007:293-296. es_ES
dc.relation.references Love D, Heath R, Lau V, Gesbert D, Rao B, Andrews M: An overview of limited feedback in wireless communication systems. IEEE J Sel Areas Commun 2008, 26(8):1341-1365. es_ES
dc.relation.references Cheng Y, Lau V, Long Y: A scalable limited feedback design for network MIMO using per-cell product codebook. IEEE Trans Wirel Commun 2010, 9(10):3093-3099. es_ES
dc.relation.references Piñero G, Botella C, Gonzalez A, de Diego M, Cardona N: Downlink power control and beamforming for a cooperative wireless system. In Proceedings of the 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Volume 2. Barcelona; 2004:974-978. es_ES
dc.relation.references Kim JH, Zirwas W, Haardt M: Efficient feedback via subspace-based channel quantization for distributed cooperative antenna systems with temporally correlated channels. EURASIP J Adv Signal Process 2008, 2008: 1-13. es_ES
dc.relation.references Baum D, Hansen J, Salo J: An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM). In Proceedings of the 61st IEEE Vehicular Technology Conference Spring. Volume 5. Stockholm; 2005:3132-3136. es_ES
dc.relation.references 3GPP Technical Report 25.996 V10.0.0: Spatial channel model for multiple input multiple output (MIMO) simulations. 2011. es_ES
dc.relation.references Wang CX, Hong X, Wu H, Xu W: Spatial-temporal correlation properties of the 3GPP spatial channel model and the kronecker MIMO channel model. EURASIP J Wirel Commun Netw 2007, 2007: 1-9. es_ES
dc.relation.references 3GPP Technical Report 25.996 V10.0.0: MATLAB implementation of the 3GPP spatial channel model. 2011. es_ES
dc.relation.references Max J: Quantizing for minimum distortion. IRE Trans Inf Theory 1960, 6: 7-12. 10.1109/TIT.1960.1057548 es_ES
dc.relation.references Sullivan G: Efficient scalar quantization of exponential and laplacian random variables. IEEE Trans Inf Theory 1996, 42(5):1365-1374. 10.1109/18.532878 es_ES
dc.relation.references Zhang R: Cooperative multi-cell block diagonalization with per-base-station power constraints. IEEE J Sel Areas Commun 2010, 28(9):1435-1445. es_ES
dc.relation.references Kaviani S, Krzymień W: Optimal multiuser zero forcing with per-antenna power constraints for network MIMO coordination. EURASIP J Wirel Commun Netw 2011, 2011: 1-12. es_ES
dc.relation.references Windpassinger C: Detection and precoding for multiple input multiple output channels. PhD thesis. University Erlangen-Nurnberg, Germany; 2004. es_ES
dc.relation.references Lenstra A, Lenstra H, Lovász L: Factoring polynomials with rational coefficients. Math Ann 1982, 261: 515-534. 10.1007/BF01457454 es_ES
dc.relation.references Gan YH, Ling C, Mow WH: Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection. IEEE Trans Signal Process 2009, 57(7):2701-2710. es_ES
dc.relation.references Roger S, Gonzalez A, Almenar V, Vidal AM: Extended LLL algorithm for efficient signal precoding in multiuser communication systems. IEEE Commun Lett 2010, 14(3):220-222. es_ES


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