請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52829
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 闕志達(Tzi-Dar Chiueh) | |
dc.contributor.author | Yi-Yao Lan | en |
dc.contributor.author | 藍義堯 | zh_TW |
dc.date.accessioned | 2021-06-15T16:29:32Z | - |
dc.date.available | 2020-08-28 | |
dc.date.copyright | 2015-08-28 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-13 | |
dc.identifier.citation | [1] 3GPP, 'Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation,' 3rd Generation Partnership Project (3GPP), TS 36.211, Dec. 2012. [Online]. Available: http://www.3gpp.org/ftp/specs/html-info/36211.htm
[2] 'Lte resource grid,' http://niviuk.free.fr/lte resource grid.html [3] D. Soldani and A. Manzalini, 'Horizon 2020 and Beyond: On the 5G Operating System for a True Digital Society,' IEEE Veh. Technol. Mag., vol. 10, no. 1, pp. 32-42, Mar. 2015. [4] A. Osseiran, F. Boccardi, V. Braun, K. Kusume, P. Marsch, M. Maternia, O. Queseth, M. Schellmann, H. Schotten, H. Taoka, H. Tullberg, M. Uusitalo, B. Timus, and M. Fallgren, 'Scenarios for 5G mobile and wireless communications: the vision of the METIS project,' IEEE Commun. Mag., vol. 52, no. 5, pp. 26-35, May 2014. [5] E. Dahlman, G. Mildh, S. Parkvall, J. Peisa, J. Sachs, Y. Sel_en, and J. Skold, '5G wireless access: requirements and realization,' IEEE Commun. Mag., vol. 52, no. 12, pp. 42-47, Dec. 2014. [6] R. Hu, Y. Qian, S. Kota, and G. Giambene, 'Hetnets - a new paradigm for increasing cellular capacity and coverage [Guest Editorial],' IEEE Trans. Wireless Commun., vol. 18, no. 3, pp. 8-9, June 2011. [7] A. Damnjanovic, J. Montojo, Y. Wei, T. Ji, T. Luo, M. Vajapeyam, T. Yoo, O. Song, and D. Malladi, 'A survey on 3GPP heterogeneous networks,' IEEE Wireless Commun. Mag., vol. 18, no. 3, pp. 10-21, June 2011. [8] S. Brueck, 'Heterogeneous networks in LTE-Advanced,' in Proc. IEEE Int. Symp. on Wireless Pervasive Computing (ISWPC), Nov. 2011, pp. 171-175. [9] D. Lopez-Perez, I. Guvenic, G. De La Roche, M. Kountouris, T. Quek, and J. Zhang, 'Enhanced intercell interference coordination challenges in heterogeneous networks,' IEEE Wireless Commun. Mag., vol. 18, no. 3, pp. 22-30, June 2011. [10] 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 J. Sel. Areas Commun., vol. 31, no. 2, pp. 226-240, Feb. 2013. [11] W. Shin, W. Noh, K. Jang, and H.-H. Choi, 'Hierarchical interference alignment for downlink heterogeneous networks,' IEEE Trans. Wireless Commun., vol. 11, no. 12, pp. 4549-4559, May 2012. [12] S. Shim, J. S. Kwak, R. W. Heath, and J. G. Andrews, 'Block diagonalization for multi-user MIMO with other-cell interference,' IEEE Trans. Wireless Commun., vol. 7, no. 7, pp. 2671-2681, July 2008. [13] Y.-J. Liang, G. Stuber, J.-F. Chang, and D.-N. Yang, 'A joint channel and frequency offset estimator for the downlink of coordinated MIMO-OFDM systems,' IEEE Trans. Wireless Commun., vol. 11, no. 6, pp. 2254-2265, June 2012. [14] Y. Zhang, X. Zhang, and D. Yang, 'A robust least square channel estimation algorithm for OFDM systems under interferences,' in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Apr. 2013, pp. 3122-3127. [15] O. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, 'Blind modulation classification: a concept whose time has come,' in Proc. IEEE Int. Symp. on Advances in Wired and Wireless Communication, Apr. 2005, pp. 223-228. [16] O. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, 'Survey of automatic modulation classification techniques: classical approaches and new trends,' IET Communications, vol. 1, no. 2, pp. 137-156, Apr. 2007. [17] E. Zehavi, '8-PSK trellis codes for a Rayleigh channel,' IEEE Trans. Commun., vol. 40, no. 5, pp. 873 -884, 1992. [18] X. Li and J. A. Ritcey, 'Bit-interleaved coded modulation with iterative decoding using soft feedback,' Electron. Lett., vol. 34, no. 10, pp. 942 {943, 1998. [19] X. Li, A. Chindapol, and J. A. Ritcey, 'Bit-interleaved coded modulation with iterative decoding and 8PSK signaling,' IEEE Trans. Commun., vol. 50, no. 8, pp. 1250-1257, 2002. [20] S. ten Brink, J. Speidel, and R.-H. Yan, 'Iterative demapping and decoding for multilevel modulation,' in IEEE Global Telecommunications Conference, (GLOBE- COM'98), Nov. 1998, pp. 579 -584. [21] B. M. Hochwald and S. t. Brink, 'Achieving near-capacity on a multiple-antenna channel,' IEEE Trans. Commun., vol. 51, no. 3, pp. 389-399, 2003. [22] J. Choi, 'Iterative receivers with bit-level cancellation and detection for MIMO-BICM systems,' IEEE Trans. Signal Process., vol. 53, no. 12, pp. 4568-4577, Dec. 2005. [23] J. M. G. Fertl, P. Jalden, 'Performance Assessment of MIMO-BICM Demodulators Based on Mutual Information,' IEEE Trans. Signal Process., vol. 60, no. 3, pp. 1366-1382, Mar. 2012. [24] C.-Y. Chen, Y.-Y. Lan, and T.-D. Chiueh, 'Turbo receiver with ICI-aware dual-list detection for mobile MIMO-OFDM systems,' IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 100-111, Jan. 2013. [25] X. Chu, D. Lopez-Perez, Y. Yang, and F. Gunnarsson, 'Heterogeneous Cellular Networks: Theory, Simulation and Deployment, ' 1st ed. CAMBRIDGE, 2013. [26] D. Nguyen, H. Nguyen-Le, and T. Le-Ngoc, 'Block-Diagonalization Precoding in a Multiuser Multicell MIMO System: Competition and Coordination,' vol. 13, no. 2, pp. 968-981, Feb. 2014. [27] A. Muller, R. Couillet, E. Bjornson, S. Wagner, and M. Debbah, 'Interference- Aware RZF Precoding for Multi-Cell Downlink Systems,' IEEE Trans. Signal Process., vol. PP, no. 99, pp. 1-1, Early Access 2015. [28] F. Xinxin, M. Wang, W. Yaxi, F. Haiqiang, and L. Jinhui, 'An E_cient Power Allocation Scheme for Leakage-Based Precoding in Multi-Cell Multiuser MIMO Downlink,' IEEE Commun. Lett., vol. 15, no. 10, pp. 1053-1055, Oct. 2011. [29] W. Shin, W. Noh, K. Jang, and H.-H. Choi, 'Hierarchical Interference Alignment for Downlink Heterogeneous Networks,' vol. 11, no. 12, pp. 4549-4559, Dec. 2012. [30] G. Liu, M. Sheng, X. Wang, Y. Li, and J. Li, 'Joint Interference Alignment and Avoidance for Downlink Heterogeneous Networks,' IEEE Commun. Lett., vol. 18, no. 8, pp. 1431-1434, Aug. 2014. [31] L. Ruan, V. Lau, and X. Rao, Interference Alignment for Partially Connected MIMO Cellular Networks,' IEEE Trans. Signal Process., vol. 60, no. 7, pp. 3692-3701, July 2012. [32] B. Guler and A. Yener, 'Selective Interference Alignment for MIMO Cognitive Femtocell Networks,' IEEE J. Sel. Areas Commun., vol. 32, no. 3, pp. 439-450, Mar. 2014. [33] A. Davydov, G. Morozov, and A. Papathanassiou, 'Advanced interference suppression receiver for LTE-advanced systems,' in Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2013, pp. 1337-1341. [34] Y. Ohwatari, A. Morimoto, N. Miki, and Y. Okumura, 'Investigation on interference rejection combining receiver in heterogeneous networks for LTE-Advanced downlink,' in Proc. IEEE Int. Workshop, Signal Processing Advances in Wireless Communications (SPAWC), June 2013, pp. 315-319. [35] C. Lim, T. Yoo, B. Clerckx, B. Lee, and B. Shim, 'Recent trend of multiuser MIMO in LTE-advanced,' IEEE Commun. Mag., vol. 51, no. 3, pp. 127-135, Mar. 2013. [36] C. B. Kian, A. Doufexi, and S. Armour, 'On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink,' in Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2009, pp. 1482-1486. [37] Y. Du, J. Tong, J. Zhang, and S. Liu, 'Evaluation of PMI Feedback Schemes for MU-MIMO Pairing,' IEEE Systems Journal, vol. 4, no. 4, pp. 505 -510, Dec. 2010. [38] I. Latif, F. Kaltenberger, R. Gha_ar, R. Knopp, D. Nussbaum, H. Callewaert, and G. Scot, 'Performance of LTE in rural areas - Benefits of opportunistic multi-user MIMO,' in Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2011, pp. 2004{2008. [39] G. Caire, G. Taricco, and E. Biglieri, 'Bit-interleaved coded modulation,' IEEE Trans. Inform. Theory, vol. 44, no. 3, pp. 927 -946, 1998. [40] A. Chindapol and J. A. Ritcey, 'Design, analysis, and performance evaluation for BICM-ID with square QAM constellations in Rayleigh fading channels,' IEEE J. Select. Areas Commun., vol. 19, no. 5, pp. 944-957, 2001. [41] W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 'Numerical Recipes, ' 3rd Edition: The Art of Scientific Computing. Cambridge, UK: Cambridge University Press, 2007. [42] T. Al-Na_ouri and B. Hassibi, 'On the distribution of inde_nite quadratic forms in Gaussian random variables,' in Proc. IEEE Int. Symp. Inform. Theory (ISIT), June 2009, pp. 1744-1748. [43] G. Caire, G. Taricco, and E. Biglieri, 'Bit-interleaved coded modulation,' IEEE Trans. Inf. Theory, vol. 44, no. 3, pp. 927-946, May 1998. [44] V. Sethuraman and B. Hajek, 'Comments on 'Bit-interleaved coded modulation',' IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1795-1797, Apr. 2006. [45] M. K. Varanasi, C. T. Mullis, and A. Kapur, 'On the limitation of linear MMSE detection,' IEEE Trans. Inf. Theory, vol. 52, no. 9, pp. 4482-4486, Sept. 2006. [46] L. G. Barbero and J. S. Thompson, 'Fixing the complexity of the sphere decoder for MIMO detection,' IEEE Trans. Wireless Commun., vol. 7, no. 6, pp. 2131-2142, June 2008. [47] T.-D. Chiueh, P.-Y. Tsai, and I.-W. Lai, 'Baseband Receiver Design for Wireless MIMO-OFDM Communications, '2nd ed. New York, NY: Wiley-IEEE Press, 2012. [48] G. E. Bottomley, T. Ottosson, and Y.-P. E. Wang, 'A generalized RAKE receiverfor interference suppression,' IEEE J. Sel. Areas Commun., vol. 18, no. 8, pp. 1536-1545, Aug. 1999. [49] I.-W. Lai, G. Ascheid, H. Meyr, and T.-D. Chiueh, 'Asymptotic BER analysis for MIMO-BICM with MMSE detection and channel estimation,' in Proc. IEEE Int. Conf. Commun. (ICC), June 2011, pp. 1-5. [50] N. Lashkarian and K. Nassiri Toussi, 'Robust estimation of signal and interference power in Rayleigh fading channels,' IEEE Trans. Wireless Commun., vol. 5, no. 10, pp. 2760-2771, Oct. 2006. [51] A. Damnjanovic, J. Montojo, J. Cho, H. Ji, J. Yang, and P. Zong, 'UE's role in LTE advanced heterogeneous networks,' IEEE Commun. Mag., vol. 50, no. 2, pp. 164-176, Feb. 2012. [52] C.-Y. Wang, 'Nested iterative receiver design with joint estimation and detection for mobile OFDM,' Master's thesis, National Taiwan University, Taipei, Taiwan, July 2010. [53] Y.-Y. Lan, I.-W. Lai, C.-H. Lee, and T.-D. Chiueh, 'Active precoder identification for inter-cell interference mitigation in heterogeneous networks,' in Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2013, pp. 1222-1226. [54] Z. Xu, 'Asymptotic performance of subspace methods for synchronous multirate CDMA systems,' IEEE Trans. Signal Process., vol. 50, no. 8, pp. 2015-2026, Aug. 2002. [55] E. Eraslan, B. Daneshrad, and C.-Y. Lou, 'Performance indicator for MIMO MMSE receivers in the presence of channel estimation error,' IEEE Wireless Commun. Lett., vol. 2, no. 2, pp. 211-214, Apr. 2013. [56] I.-W. Lai, G. Ascheid, H. Meyr, and T.-D. Chiueh, 'E_cient channel-adaptive MIMO detection using just-acceptable error rate,' IEEE Trans. Wireless Commun., vol. 10, no. 1, pp. 73-83, Jan. 2011. [57] J. Proakis and M. Salehi, ' Digital Communications, '5th ed. New York, NY: McGraw Hill, 2007. [58] K. B. Petersen and M. S. Pedersen, “The Matrix Codebook, ' Denmark, DK: Technical University of Denmark, 2012. [59] 3GPP, 'Evolved Universal Terrestrial Radio Access (E-UTRA); Base Station (BS) radio transmission and reception,' 3rd Generation Partnership Project (3GPP), TS 36.104, Dec. 2012. [Online]. Available: http://www.3gpp.org/ftp/ Specs/html-info/36104.htm [60] D. G. Kendall, 'Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain,' The Annals of Mathematical Statistics, vol. 24, no. 3, pp. 338-354, Apr. 1953. [61] Deployment aspects,' 3GPP Technical Specification Group (TSG) RAN WG4, Tech. Rep. TR25.943, June 2001. [62] J. G. Proakis, 'Digital Communications,' Singapore: McGraw Hill, 1995. [63] M. Tuchler, R. Koetter, and A. Singer, 'Turbo equalization: principles and new results,' IEEE Trans. Commun., vol. 50, no. 5, pp. 754-767, May 2002. [64] L. Hanzo, T. H. Liew, and B. L. Yeap, 'Turbo Coding, turbo equalisation and space-time coding for transmission over fading channels, ' Wiley-IEEE Press, 2002. [65] C.-H. Liao, T.-P. Wang, and T.-D. Chiueh, 'A 74.8 mW soft-output detector IC for 8x8 spatial-multiplexing MIMO communications,' IEEE J. Solid-State Circuits, vol. 45, no. 2, pp. 411-421, Feb. 2010. [66] I.-W. Lai, C.-H. Liao, M. Witte, D. Kammler, F. Borlenghi, K. Nikitopoulos, V. Ramakrishnan, D. Zhang, T.-D. Chiueh, G. Ascheid, and H. Meyr, ' Searching in the delta lattice: An e_cient MIMO detection for iterative receivers,' in Proc. IEEE Global Telecommunications Conference, (GLOBECOM'09), Nov. 2009, pp. 1-6. [67] J. Liu, H. Vanhaute, M. Moonen, A. Bourdoux, and H. Man, ' “Efficient computation of symbol statistics from bit a priori information in turbo receivers,' IEEE Trans. Commun., vol. 57, no. 7, pp. 1889{1891, July 2009. [68] J. Hagenauer and P. Hoeher, ' A Viterbi algorithm with soft-decision outputs and its applications,' in IEEE Global Telecommunications Conference (GLOBECOM'89), Nov. 1989, pp. 1680-1686. [69] M. Russel, 'Combinatorics, ' 2nd ed. New York, NY: John Wiley Sons Inc., 2003. [70] R. H. Farebrother, 'Linear Least Squares Computations, '1st ed. New York, NY: CRC Press, 1988. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52829 | - |
dc.description.abstract | 近年來異質行動網路因其多層共構(multi-tier deployment)能有效地提升單位區域的頻譜效應而受到許多關注。然而,在此多細胞使用同頻帶共構情境下,細胞間干擾(inter-cell interference, ICI)的問題成為不可避免的問題。現有的解決方案多依賴多基地台間的協同來將資源做區隔分離,雖可有效避開細胞間干擾但卻犧牲了傳輸效率。該缺點可藉由將細胞間干擾的處理機制轉移到接收機上。
為了使接收機可處理細胞間干擾,接收機需要獲取部分或完全得干擾源資訊。在這些干擾資訊中,干擾訊號所使用的預編碼(precoder)與干擾訊號所採用的錯誤更正碼訊息最難被接收端獲取。因此,本論文提出了一種進階型接收機設計,其具備兩個必要的功能區塊: 主動預編碼辨識(active precoder identification, API)與具二維列表雙迴圈更新機制的疊代偵測器(iterative detector with dual-loop dual-list update, IDDDU)。主動預編碼辨識用於辨識干擾訊號所使用的預編碼;而二維列表雙迴圈更新機制的疊代偵測器用於在缺乏干擾訊號所採用的錯誤更正碼訊息下,能有效地偵測資料訊號。 在主動預編碼辨識中,本論文提出辨識準則的理論基礎與分析。並且,提出兩種低複雜度的設計: 遞迴架構與雙模切換技術。遞迴架構藉由Sherman-Morrison公式與矩陣行列式定理來降低計算準則所需的運算複雜度; 雙模切換技術則透過單一與多數模式間切換來調節搜尋空間大小。 在具二維列表雙迴圈更新機制的疊代偵測器中,接收機得以在多天線間與細胞間的二維干擾下偵測資料訊號。雙列表的設計用於將正確的資料訊號與干擾訊號都保留在雙列表中,可達到窮舉搜尋的錯誤率效能但避免其高複雜度。多中心的差量格狀搜尋(multi-center delta lattice search, MC-DLS)用於有效產生雙列表的初始狀態;而該雙列表透過雙迴圈模式,有效運用偵測器(detector)與解碼器(decoder)的軟訊息來來更新列表,其更新過程不須干擾源的錯誤更正碼訊息。此外,提出數個降低複雜度的設計。 在實作方面,本論文透過實際射頻訊號於空氣介質中傳輸來驗證該進階型接收機的功能,其平台涵蓋一個符合4G-LTE的訊號格式的軟體定義無線電進階型接收機。透過實際收錄的訊號,完成上述主動預編碼辨識與二維列表雙迴圈更新機制的疊代偵測器的驗證。 | zh_TW |
dc.description.abstract | Recently, heterogeneous cellular networks (HCNs) have attractive much attention since its multi-tier deployment increases the spectrum efficiency per area. However, the inter-cell interference problem has become inevitable in many co-channel scenarios in HCNs. Most state-of-the art solutions rely on coordination or resource interleaving among base stations, resulting in low transmission efficiency. Alternatively, these drawbacks can be avoided if the task of ICI reduction is moved to the receive side.
To settle the ICI at the receive side, the receiver needs to know part or all of the information about the ICI source. Among the information of ICI source, the precoding codewords of interfering active users and the ECC scheme of the interfering signal are difficult to come by. Therefore, this thesis presents an advanced receiver design with two essential function blocks: active precoder identification (API) and iterative detector with dual-loop dual-list update (IDDDU). The API enables a receiver to identify the precoding codewords of the active interfering users. Equipped with the API technique, the advanced receiver can capture speci_c essential information to achieve ICI mitigation. On the other hand, the IDDDU facilitates the advanced receiver to achieve bit-level data recovery when the ECC scheme of interfering signal is unknown. For the API design, we theoretically derive the design criterion and analyze the performance of the receiver equipped with the proposed API scheme. We also propose two low-complexity techniques: the recursive structure based on the Sherman-Morrison formula/matrix determinant lemma, and the mode-switching technique adapting the search space on-the-y. Numerical simulations demonstrate that such receiver can achieve error rate performance close to a receiver with perfect knowledge of the active precoders. The recursive structure achieves 68% complexity saving, while the mode-switching technique further increases the saving to 83%. For the IDDDU design, we tries to recover signals caused by 2-D interferences: inter-antenna interference (IAI) and inter-cell interference (ICI). In this dual-loop dual-list architecture, a dual-list concept is designed to combat 2-D interferences and achieve near maximum a posteriori (MAP) performance. To initialize the dual-list, we combine a strong ICI detection with a multi-center delta lattice search (MC-DLS) to find out the more-likely candidates. With the dual-list, the log-likelihood ratio (LLR) of each data bit can be efficiently computed. Moreover, to improve the quality of dual-list during iterations, we propose a dual-loop list update mechanism without the need of ECC scheme of ICI source. Furthermore, we further propose three low-complexity designs to avoid most redundant computation. Simulation results show the IDDDU can achieve the ICI-free error rate performance. Concerning feasibility, the IDDDU only requires about twice runtime complexity of the conventional successive interference cancellation (SIC)-based iterative detector, which is quite reasonable overhead to pay. The thesis also validates the effectiveness of proposed advanced receiver in real transmission. We build an over-the-air experiment by using a software-defined radio (SDR) platform and RF front-end devices that transmit real radio frequency (RF) waveform over the air interface. The two proposed essential function blocks API and IDDDU are implemented in this SDR platform and are validated by detecting real captured received signals. Through the over-the-air experiments, we validate the functionalities of both techniques and show the feasibility of such advanced receiver for HCNs. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T16:29:32Z (GMT). No. of bitstreams: 1 ntu-104-D97943006-1.pdf: 14971579 bytes, checksum: a387e39d8a1fcf16cfda7049a05eba86 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | Approval i Acknowledgement v Chinese Abstract vii Abstract ix Contents xii List of Tables xvii List of Figures xix 1 Introduction 1 1.1 Heterogeneous Cellular Networks . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 Small Cells . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Interference Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.2.1 Cell Range Expansion . . . . . . . . . . . . . . . . . . . . . . . . 7 1.2.2 Coverage Holes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.3 Motivation of Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.4 Organization and Contributions of Thesis . . . . . . . . . . . . . . . . . . 11 2 Advanced Receiver Architecture Design 13 2.1 State-of-the-Art Solutions to the ICI Problem . . . . . . . . . . . . . . . 14 2.1.1 ICIC at the Transmit Side . . . . . . . . . . . . . . . . . . . . . . 14 2.1.2 Joint Precoding Techniques at the Transmit Side . . . . . . . . . 17 2.1.3 Interference Rejection Combining by Using Interference Statistics at the Receive Side . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.2 System Models of Common Interference Scenarios in HCNs . . . . . . . . 19 2.2.1 System Model of MU-MIMO Transmission in Both Cells . . . . . 20 2.2.2 Extending System Model for SM Transmission . . . . . . . . . . . 22 2.2.3 Extending the System Model to Con gure CRE . . . . . . . . . . 23 2.2.4 MIMO BICM-ID Systems . . . . . . . . . . . . . . . . . . . . . . 23 2.3 Proposed Advanced Receiver . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.1 Architecture Design . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3 Active Precoder Identi cation for Inter-Cell Interference Awareness 29 3.1 Signal Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 3.2 API Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.2.1 Derivation of the ML Criterion for API . . . . . . . . . . . . . . . 34 3.2.2 Recursive API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 3.3 Theoretical Analysis of the API . . . . . . . . . . . . . . . . . . . . . . . 38 3.3.1 Identi cation Error Analysis . . . . . . . . . . . . . . . . . . . . . 40 3.3.2 BER Derivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.4 Mode-Switching Technique . . . . . . . . . . . . . . . . . . . . . . . . . . 44 3.4.1 Mode-Switching API . . . . . . . . . . . . . . . . . . . . . . . . . 44 3.4.2 Switching Strategy of the MS-API . . . . . . . . . . . . . . . . . . 46 3.5 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 3.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 4 Iterative Detector with Dual-Loop Dual-List Update 57 4.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 4.2 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 4.2.1 Interference-Aware Iterative Detector . . . . . . . . . . . . . . . . 61 4.2.2 MAP Criterion and Soft Information . . . . . . . . . . . . . . . . 62 4.2.3 Design Target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 4.3 Block Diagram of IDDDU . . . . . . . . . . . . . . . . . . . . . . . . . . 65 4.3.1 Initial Dual-List Generation . . . . . . . . . . . . . . . . . . . . . 66 4.3.2 Dual-List Soft Detection . . . . . . . . . . . . . . . . . . . . . . . 75 4.3.3 Dual-Loop List Update . . . . . . . . . . . . . . . . . . . . . . . . 78 4.4 Low-Complexity Designs . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 4.4.1 Common Term Exploitation in MC-DLS . . . . . . . . . . . . . . 84 4.4.2 Delta-ICI Technique . . . . . . . . . . . . . . . . . . . . . . . . . 85 4.4.3 Early-Skip Technique . . . . . . . . . . . . . . . . . . . . . . . . . 86 4.5 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 4.5.1 Simulation Speci cation . . . . . . . . . . . . . . . . . . . . . . . 89 4.5.2 Coded BER Performance . . . . . . . . . . . . . . . . . . . . . . . 91 4.5.3 Complexity Reduction Performance . . . . . . . . . . . . . . . . . 101 4.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 5 Over-the-Air Experiment of LTE-Based Advanced Receiver 111 5.1 Overview of Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 5.1.1 RF Front-End Transmitter . . . . . . . . . . . . . . . . . . . . . . 113 5.1.2 RF Front-End Receiver . . . . . . . . . . . . . . . . . . . . . . . . 114 5.2 Basic Introduction of LTE . . . . . . . . . . . . . . . . . . . . . . . . . . 115 5.2.1 LTE Downlink Frame Structure . . . . . . . . . . . . . . . . . . . 116 5.2.2 LTE Physical Channels . . . . . . . . . . . . . . . . . . . . . . . . 118 5.2.3 Synchronization Signals . . . . . . . . . . . . . . . . . . . . . . . 121 5.2.4 Common Reference Signal . . . . . . . . . . . . . . . . . . . . . . 122 5.3 Baseband Advanced Receiver Design . . . . . . . . . . . . . . . . . . . . 125 5.4 Field Trial and Experimental Results . . . . . . . . . . . . . . . . . . . . 126 5.4.1 Experimental I: Validation of API Function . . . . . . . . . . . . 129 5.4.2 Experimental II: Validation of IDDDU Function . . . . . . . . . . 133 5.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 6 Conclusion 143 A Derivation of the Closed-Form Expression of Ef gHL gg 157 B Complexity Analysis of the API Functions 159 | |
dc.language.iso | en | |
dc.title | 異質行動網路之前瞻型接收機設計 | zh_TW |
dc.title | Advanced Receiver Design for Heterogeneous Cellular Networks | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 曹恆煒(Hen-Wei Tsao),趙啟超(Chi-chao Chao),吳仁銘(Jen-Ming Wu),蔡佩芸(Pei-Yun Tsai),蘇柏青(Borching Su) | |
dc.subject.keyword | 異質行動網路,長期演進技術,細胞間干擾,小細胞基地台,多天線輸入輸出正交分頻多工系統,預編碼辨識,疊代接收機,最大事後機率偵測演算法,干擾感知接收機,軟體定義無線電,空氣傳輸驗證, | zh_TW |
dc.subject.keyword | Heterogenous networks (HetNets),LTE-Advanced,inter-cell interference (ICI),small cells,Multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM),active precoder identification (API),maximum a-posteriori (MAP) detection,iterative detector,interference-aware receiver,dual-list,list update,over-the-air,software-defined radio (SDR), | en |
dc.relation.page | 163 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-08-13 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-104-1.pdf 目前未授權公開取用 | 14.62 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。