{"id":190,"date":"2024-04-02T11:36:05","date_gmt":"2024-04-02T11:36:05","guid":{"rendered":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/?page_id=190"},"modified":"2026-10-08T12:33:07","modified_gmt":"2026-10-08T03:33:07","slug":"achievements","status":"publish","type":"page","link":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/achievements\/","title":{"rendered":"\u7814\u7a76\u696d\u7e3e (Publications)"},"content":{"rendered":"<h4>2026\u5e74\u5ea6 (FY 2026)<\/h4>\n<h5> \u8ad6\u6587 (Journal Papers) <\/h5>\n<ul>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11440068\">F. Kobayashi, T. Takahashi, S. Ibi, T. Doi, K. Muraoka and H. Ochiai, &#8220;Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM,&#8221; in IEEE Transactions on Wireless Communications, doi: 10.1109\/TWC.2026.3672170.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11520270\/\">A. Lukaj, K. Masuoka, T. Takahashi, G. T. F. d. Abreu and H. Ochiai, &#8220;Quaternion-Domain Super MDS for Robust 3D Localization,&#8221; in IEEE Open Journal of Signal Processing, vol. 7, pp. 621-642, 2026, doi: 10.1109\/OJSP.2026.3693590.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11619583\">S. Hara, T. Takahashi, H. Iimori, H. Ochiai and E. G. Larsson, &#8220;Reciprocity Calibration of Dual-Antenna Repeaters via MMSE Estimation,&#8221; in IEEE Transactions on Wireless Communications, doi: 10.1109\/TWC.2026.3713171. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11660718\">T. Furudoi, T. Takahashi and H. Ochiai, &#8220;Annealed Discrete Denoising for Stabilizing Loopy Belief Propagation in Correlated MU-MIMO Detection,&#8221; IEEE Trans. Commun., vol. 74, pp. 13622-13639, 2026. doi: 10.1109\/TCOMM.2026.3725316. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11686199\">Y. Luo, L. Yu, T. Takahashi, S. Liu, Y. Zhang, J. Zhang and H. Ochiai, &#8220;Ill-Posedness Analysis of CSI-Based Electromagnetic Inverse Scattering for Material Reconstruction in ISAC Systems,&#8221; IEEE Trans. Antennas Propag., doi: 10.1109\/TAP.2026.3730509. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11701597\">T. Furudoi, T. Takahashi and H. Ochiai, &#8220;Trainable OAMP With Hetero-Scaling for Finite-Dimensional Signal Estimation Under Prior Heterogeneity,&#8221; IEEE Trans. Commun., vol. 74, pp. 14903-14920, 2026. doi: 10.1109\/TCOMM.2026.3735806. <\/a><\/li>\n<\/ul>\n<h5>\u56fd\u969b\u4f1a\u8b70 (International Conferences)<\/h5>\n<ul>\n<li> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/11555112\">R. Wang, T. Takahashi and H. Ochiai, &#8220;Secure Cell-Free Massive MIMO ISAC Systems: Joint AP Selection and Power Allocation Against Eavesdropping,&#8221; in Proc. IEEE WCNC, Kuala Lumpur, Malaysia, 2026, pp. 1-6, doi: 10.1109\/WCNC65185.2026.11555112. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11464434\">F. Kobayashi, T. Takahashi, and H. Ochiai, \u201cOn the Role of Extrinsic Value Exchange in Expectation Propagation for Coded MIMO Systems,\u201d in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11464127\">T. Furudoi, T. Takahashi, and H. Ochiai, \u201cEmpirical Analysis of Approximate Message Passing under Non-i.i.d. Measurements with Comparison to State Evolution,\u201d in Proc. IEEE ICASSP, Barcelona, Spain, May 2026.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11587545\">T. Furudoi, T. Takahashi, and H. Ochiai, \u201cDiscrete-Valued Signal Estimation via GAMP under Finite-Sized Highly Correlated GLMs,\u201d in Proc. IEEE ICC, Glasgow, Scotland, UK, May 2026.<\/a> (<a href=\"https:\/\/hdl.handle.net\/11094\/106088\">OUKA<\/a>)<\/li>\n<\/ul>\n<h5>\u56fd\u5185\u7814\u7a76\u4f1a (Domestic Symposiums)<\/h5>\n<ul>\n<li>\n<a href = \"https:\/\/ken.ieice.org\/ken\/paper\/20260617PcVI\/\">\u6c60\u6797 \u5de7\u4eba, \u539f \u5c06\u771f, \u9ad8\u6a4b \u62d3\u6d77, \u4f0a\u85e4 \u8ce2\u592a, \u77f3\u6a4b\u529f\u81f3, \u843d\u5408 \u79c0\u6a39 &#8220;\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO-OFDM\u901a\u4fe1\u8def\u30fbCFO\u540c\u6642\u63a8\u5b9a\u306e\u305f\u3081\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u7a7a\u9593\u4e0a\u306e\u9045\u5ef6\u9818\u57dfDenoising\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e&#8221;,\u4fe1\u5b66\u6280\u5831, vol. 126, no. 72, RCS2026-44, pp. 110-115, 2026\u5e746\u6708. <\/a>\n<\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260617qcVi\/\">\u5ca1\u90e8 \u592a\u4e00, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39, \u201c\u8fd1\u508d\u754cXL-MIMO\u306b\u304a\u3051\u308b\u4f4e\u6f14\u7b97\u901a\u4fe1\u8def\u63a8\u5b9a\u306e\u305f\u3081\u306e\u6975\u5ea7\u6a19\u9818\u57df\u5909\u63db\u884c\u5217\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\u201d, \u4fe1\u5b66\u6280\u5831, vol. 126, no. 72, RCS2026-43, pp. 104-109, 2026\u5e746\u6708. <\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260617GcVH\/\">\u6cbc\u3000\u4fca\u8f14, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39, \u201cPolar\u7b26\u53f7\u5316OFDM\u4f1d\u9001\u306b\u304a\u3051\u308bPAPR\u4f4e\u6e1b\u306e\u305f\u3081\u306e\u52b9\u7387\u7684\u306a\u30b7\u30a7\u30fc\u30d4\u30f3\u30b0\u30d3\u30c3\u30c8\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u691c\u8a0e\u201d, \u4fe1\u5b66\u6280\u5831, vol. 126, no. 72, RCS2026-41, pp. 92-97, 2026\u5e746\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260617XcVi\/\">\u6a2a\u8c37 \u77e5\u6a39, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39, \u201c\u4f4e\u6f14\u7b97MIMO-OFDM\u53d7\u4fe1\u6a5f\u306e\u305f\u3081\u306e\u9069\u5fdc\u7684Polar\u7b26\u53f7\u8a2d\u8a08\u3068\u30b7\u30f3\u30dc\u30eb\u5206\u5e03\u8fd1\u4f3c\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\u201d, \u4fe1\u5b66\u6280\u5831, vol. 126, no. 72, RCS2026-42, pp. 98-103, 2026\u5e746\u6708.<\/a><\/li>\n<\/ul>\n<h5>\u53e3\u982d\u767a\u8868 (Oral Presentations)<\/h5>\n<ul>\n<li><a href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/society2026\/presentation\/A-2-03\">\u6817\u539f \u82f1\u4eba, \u843d\u5408\u79c0\u6a39, \u201c\u96fb\u529b\u52b9\u7387\u306b\u512a\u308c\u305f\u30b7\u30f3\u30b0\u30eb\u30ad\u30e3\u30ea\u30a2\u4f1d\u9001\u306b\u5411\u3051\u305fAPSK\u30b3\u30f3\u30b9\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u4f53\u7cfb\u7684\u8a2d\u8a08\u624b\u6cd5,\u201d 2026\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a, A-2-03, 2026\u5e74 9\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/society2026\/presentation\/A-2-02\">\u677e\u4e95\u79c0\u8d73, \u843d\u5408\u79c0\u6a39, \u201c\u9010\u6b21\u9664\u53bb\u30ea\u30b9\u30c8\u5fa9\u53f7\u306b\u6709\u52b9\u306aPolar\u7b26\u53f7\u306e\u8a2d\u8a08SNR\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u691c\u8a0e,\u201d 2026\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a, A-2-02, 2026\u5e74 9\u6708.<\/a><\/li>\n<\/ul>\n<h4>2025\u5e74\u5ea6 (FY 2025)<\/h4>\n<h5>\u8ad6\u6587 (Journal Papers)<\/h5>\n<ul>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11029473\">F. Kobayashi, T. Takahashi, S. Ibi and H. Ochiai, &#8220;EXIT Chart Analysis of Expectation Propagation-Based Iterative Detection and Decoding,&#8221; in IEEE Open Journal of the Communications Society, vol. 6, pp. 5249-5268, 2025, doi: 10.1109\/OJCOMS.2025.3578473.<\/a><\/li>\n<\/ul>\n<h5>\u56fd\u969b\u4f1a\u8b70 (International Conferences)<\/h5>\n<ul>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11366316\">G. Hashimoto, T. Takahashi, H. Ochiai. \u201cAdaptive Code Rate Selection for Polar-Coded OFDM Systems With Specified Reliability Constraints,\u201d To be presented in IEEE CCNC 2026.<\/a><\/li>\n<li><a href = \"https:\/\/ieeexplore.ieee.org\/document\/11431711\">S. Hara, T. Takahashi, H. Ochiai. &#8220;Deep Unfolding-Aided Tensor Decomposition for mmWave MIMO-OFDM Channel Estimation,&#8221;  in Proc. IEEE GLOBECOM 2025. <\/a><\/li>\n<li><a href = \"https:\/\/ieeexplore.ieee.org\/document\/11431784\">K. Furuta, T. Takahashi, H. Ochiai. &#8220;Row and Group Pseudo Sparsity-Aware Bayesian Learning for MIMO-OTFS Channel Estimation,&#8221; in Proc. IEEE GLOBECOM 2025. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11143445\">F. Kobayashi, T. Takahashi, S. Ibi, and H. Ochiai, &#8220;Turbo Equalization and EP: A Comparative Analysis of Extrinsic Value Exchange Mechanisms,&#8221; in Proc. IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, 2025.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11143495\/\">K. MASUOKA, T. TAKAHASHI, G. ABREU, H. OCHIAI, \u201cQuaternion Domain Super MDS for 3D Localization\u201d, IEEE SPAWC 2025, Surrey, UK, July 2025.<\/a><\/li>\n<li><a href=\"http:\/\/www.wimob.org\/wimob2025\/programme.php\">E. Kurihara, and H. Ochiai. &#8220;A Design of High-Order APSK Constellations With PAPR Constraints for Single-Carrier BICM Systems,&#8221; IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Marrakech, Morocco, October 2025.<\/a><\/li>\n<\/ul>\n<h5>\u56fd\u5185\u7814\u7a76\u4f1a (Domestic Symposiums)<\/h5>\n<ul>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250624rckr\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u5927\u585a\u5f18\u6717, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO\u306b\u304a\u3051\u308bPolar\u7b26\u53f7\u306e\u30ec\u30fc\u30c8\u5236\u5fa1\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 88, RCS2025-38, pp. 44-49, 2025\u5e746\u6708.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250624lckW\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u6a4b\u672c\u9280\u6cb3, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u9ad8\u4fe1\u983c\u901a\u4fe1\u306e\u305f\u3081\u306ePolar\u7b26\u53f7\u5316OFDM\u306b\u304a\u3051\u308b\u9069\u5fdc\u7684\u306a\u7b26\u53f7\u5316\u7387\u9078\u629e\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 88, RCS2025-39, pp. 50-55, 2025\u5e746\u6708.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250624lckp\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u6a4b\u672c\u822a\u5fd7, \u5c0f\u6797\u6953\u8cc0, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u6751\u5ca1\u4e00\u5fd7, \u571f\u4e95\u9686\u66a2, \u843d\u5408\u79c0\u6a39, \u201c\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30d9\u30af\u30c8\u30eb\u985e\u4f3c\u5ea6\u691c\u7d22\u3092\u7528\u3044\u305f\u4f4e\u6f14\u7b97\u306a\u76f8\u4e92\u60c5\u5831\u91cf\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 88, RCS2025-37, pp. 38-43, 2025\u5e746\u6708. <\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250625Kcka\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u539f\u5c06\u771f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u6df1\u5c64\u5c55\u958b\u3092\u7528\u3044\u305f\u30c6\u30f3\u30bd\u30eb\u5206\u89e3\u306b\u57fa\u3065\u304f\u30df\u30ea\u6ce2MIMO-OFDM\u901a\u4fe1\u8def\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 88, RCS2025-46, pp. 88-93, 2025\u5e746\u6708. <\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/202506251ckd\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u5e73\u7530\u5927\u559c, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u6df1\u5c64\u5c55\u958b\u3092\u9069\u7528\u3057\u305f\u4e00\u822c\u5316\u8fd1\u4f3c\u30e1\u30c3\u30bb\u30fc\u30b8\u4f1d\u642c\u6cd5\u306e\u8a13\u7df4SNR\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 88, RCS2025-47, pp. 94-99, 2025\u5e746\u6708. <\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20251008CcNM\/\">\u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u4e00\u822c\u5316\u7dda\u5f62\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u96e2\u6563\u5024\u4fe1\u53f7\u63a8\u5b9a\u554f\u984c\u306b\u304a\u3051\u308b\u4e00\u822c\u5316\u8fd1\u4f3c\u30e1\u30c3\u30bb\u30fc\u30b8\u4f1d\u642c\u6cd5\u306e\u7279\u6027\u6539\u5584\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \t\u4fe1\u5b66\u6280\u5831, vol. 125, no. 197, WBS2025-22, pp. 23-28, 2025\u5e7410\u6708. <\/li>\n<li><a href=\"https:\/\/www.gakkai-web.net\/sita\/ad_pro\/index.html\">\u5c0f\u6797 \u6953\u8cc0, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u671f\u5f85\u5024\u4f1d\u642c\u6cd5\u306b\u57fa\u3065\u304fIDD\u306eEXIT\u89e3\u6790\u3092\u7528\u3044\u305f\u7e70\u308a\u8fd4\u3057\u6319\u52d5\u89e3\u6790,\u201d \u7b2c48\u56de\u60c5\u5831\u7406\u8ad6\u3068\u305d\u306e\u5fdc\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SITA2025), 8.3.1, 2025\u5e74 11\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/www.gakkai-web.net\/sita\/ad_pro\/index.html\">\u539f\u5c06\u771f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u30df\u30ea\u6ce2 MIMO-OFDM \u901a\u4fe1\u8def\u63a8\u5b9a\u306e\u305f\u3081\u306e\u30c6\u30f3\u30bd\u30eb\u5206\u89e3\u306e\u4e26\u5217\u5316\u3068\u5b66\u7fd2\u6700\u9069\u5316,\u201d \u7b2c48\u56de\u60c5\u5831\u7406\u8ad6\u3068\u305d\u306e\u5fdc\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SITA2025), 4.3.1, 2025\u5e74 11\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/www.gakkai-web.net\/sita\/ad_pro\/index.html\">\u53e4\u7530\u5065\u609f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u8907\u7d20t\u4e8b\u524d\u5206\u5e03\u3092\u7528\u3044\u305fRow-and-Group\u30b9\u30d1\u30fc\u30b9\u30d9\u30a4\u30ba\u5b66\u7fd2\u306b\u3088\u308bMIMO-OTFS\u901a\u4fe1\u8def\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u7b2c48\u56de\u60c5\u5831\u7406\u8ad6\u3068\u305d\u306e\u5fdc\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SITA2025), 4.3.2, 2025\u5e74 11\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/www.gakkai-web.net\/sita\/ad_pro\/index.html\">\u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u975e i.i.d. \u89b3\u6e2c\u4e0b\u306b\u304a\u3051\u308b\u8fd1\u4f3c\u30e1\u30c3\u30bb\u30fc\u30b8\u4f1d\u642c\u6cd5\u306e\u305f\u3081\u306e denoiser \u8a2d\u8a08\u3068\u305d\u306e\u89e3\u6790,\u201d \u7b2c48\u56de\u60c5\u5831\u7406\u8ad6\u3068\u305d\u306e\u5fdc\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SITA2025), 5.4.2, 2025\u5e74 11\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260126GcqS\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u6700\u4e0a\u7fd4\u592a, \u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201cCAF\u3092\u7528\u3044\u305fDFT-s-OFDM\u306e\u9ad8\u7cbe\u5ea6\u5fa9\u8abf\u65b9\u5f0f\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 334, RCS2025-210, pp. 19-24, 2026\u5e741\u6708. <\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260126kcqS\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u5c71\u672c\u8ad2\u771f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201cPolar\u7b26\u53f7\u3092\u7528\u3044\u305fJPEG\u753b\u50cf\u4f1d\u9001\u306b\u304a\u3051\u308b\u5fa9\u53f7\u753b\u50cf\u306e\u54c1\u8cea\u5411\u4e0a\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, vol. 125, no. 334, RCS2025-211, pp. 25-30, 2026\u5e741\u6708. <\/span><\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20260317FcUa\/\"><span class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\u68ee\u91ce\u667a\u63ee, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39 \u201cPolar\u7b26\u53f7\u306b\u57fa\u3065\u304f\u30de\u30eb\u30c1\u30ec\u30d9\u30eb\u7b26\u53f7\u5316\u5909\u8abf\u306e\u305f\u3081\u306e\u7b26\u53f7\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\u201d, \u4fe1\u5b66\u6280\u5831,  vol. 125, no. 406, WBS2025-97, pp. 232-237, 2026\u5e743\u6708. <\/span><\/a><\/li>\n<\/ul>\n<h5>\u53e3\u982d\u767a\u8868 (Oral Presentations)<\/h5>\n<ul>\n<li><a href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/general2026\/presentation\/B-5B-21\">\u6c60\u6797 \u5de7\u4eba, \u539f \u5c06\u771f, \u4f0a\u85e4 \u8ce2\u592a, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39 &#8220;\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO-OFDM\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u6642\u9593\u9818\u57df\u96d1\u97f3\u9664\u53bb\u3092\u7528\u3044\u305f\u901a\u4fe1\u8def\u30fbCFO\u540c\u6642\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e&#8221;, 2026\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/a><\/li>\n<li><a href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/general2026\/presentation\/B-18-12\">\u5ca1\u90e8 \u592a\u4e00, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39 &#8220;\u8fd1\u508d\u754cXL-MIMO\u901a\u4fe1\u8def\u63a8\u5b9a\u306e\u305f\u3081\u306e\u6975\u5ea7\u6a19\u9818\u57df\u5909\u63db\u884c\u5217\u306e\u8a2d\u8a08\u624b\u6cd5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e&#8221;, 2026\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/a><\/li>\n<li><a href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/general2026\/presentation\/A-9-06\">\u6a2a\u8c37 \u77e5\u6a39, \u9ad8\u6a4b \u62d3\u6d77, \u843d\u5408 \u79c0\u6a39 &#8220;\u901a\u4fe1\u8def\u72b6\u614b\u3092\u8003\u616e\u3057\u305fPolar\u7b26\u53f7\u5316MIMO-OFDM\u306e\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u691c\u8a0e&#8221;, 2026\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/a><\/li>\n<\/ul>\n<h4>2024\u5e74\u5ea6 (FY 2024)<\/h4>\n<h5>\u8ad6\u6587 (Journal Papers)<\/h5>\n<ul>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10673899\">K. Furuta, T. Takahashi and H. Ochiai, &#8220;Sparse Bayesian Learning Using Complex t-Prior for Beam-Domain Massive MIMO Channel Estimation,&#8221; in IEEE Open Journal of the Communications Society, doi: 10.1109\/OJCOMS.2024.3457507.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10683792\"> K. Ito, T. Takahashi, K. Furuta, S. Ibi and G. T. F. D. Abreu, &#8220;Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation,&#8221; in IEEE Open Journal of the Communications Society, doi: 10.1109\/OJCOMS.2024.3463202. <\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10806522\"> K. Ito, T. Takahashi, K. Ishibashi, K. Igarashi and S. Ibi, &#8220;Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems,&#8221; in IEEE Transactions on Wireless Communications, doi: 10.1109\/TWC.2024.3514210.<\/a><\/li>\n<\/ul>\n<h5>\u56fd\u969b\u4f1a\u8b70 (International Conferences)<\/h5>\n<ul>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10757797\">K.FURUTA, T. TAKAHASHI, and H. OCHIAI, \u201cSparse Bayesian Learning Using Complex t-Prior for Massive Multi-User MIMO Channel Estimation,\u201d IEEE VTC2024-Fall, Washington DC, US, Oct. 2024.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10757451\">T.FURUDOI, T. TAKAHASHI, S. IBI, and H. OCHIAI, \u201cPrecoder Design for Time-Varying mmWave MIMO Detection Based on Expectation Propagation,\u201d IEEE VTC2024-Fall, Washington DC, US, Oct. 2024.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10978596\">F. Kobayashi, T. Takahashi, S. Ibi, H. Ochiai, K. Muraoka, T. Doi, and N. Ishii, &#8220;Vector Similarity Search-Based MCS Selection for Iterative Signal Detection in Massive Multi-User MIMO-OFDM Systems,&#8221; in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025.<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10978405\">T. FURUDOI, T. TAKAHASHI, S. IBI, and H. OCHIAI, \u201cLearning Stabilization in Deep Unfolding of Generalized Approximate Message Passing,\u201d in Proc. IEEE WCNC2025, Milan, Italy, Mar. 2025.<\/a><\/li>\n<\/ul>\n<h5>\u56fd\u5185\u7814\u7a76\u4f1a (Domestic Symposiums)<\/h5>\n<ul>\n<li>\u5c0f\u6797\u6953\u8cc0, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u6751\u5ca1\u4e00\u5fd7, \u571f\u4e95\u9686\u66a2, \u77f3\u4e95\u76f4\u4eba, \u843d\u5408\u79c0\u6a39, \u201c\u5927\u898f\u6a21\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO-OFDM\u306b\u304a\u3051\u308bMCS\u9078\u629e\u306e\u305f\u3081\u306e\u7e70\u308a\u8fd4\u3057\u4fe1\u53f7\u691c\u51fa\u5f8c\u306e\u76f8\u4e92\u60c5\u5831\u91cf\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, RCS2024-56, 2024\u5e74 6\u6708.<\/li>\n<li>\u53e4\u7530\u5065\u609f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u5927\u898f\u6a21\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO\u306b\u304a\u3051\u308b\u30d3\u30fc\u30e0\u9818\u57df\u901a\u4fe1\u8def\u63a8\u5b9a\u306e\u305f\u3081\u306e\u8907\u7d20t\u5206\u5e03\u3092\u7528\u3044\u305f\u30b9\u30d1\u30fc\u30b9\u30d9\u30a4\u30ba\u5b66\u7fd2\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, RCS2024-67, 2024\u5e74 6\u6708.<\/li>\n<li>\u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u671f\u5f85\u5024\u4f1d\u642c\u6cd5\u306b\u57fa\u3065\u304f\u6642\u5909\u30df\u30ea\u6ce2MIMO\u4fe1\u53f7\u691c\u51fa\u306e\u305f\u3081\u306e\u30d7\u30ea\u30b3\u30fc\u30c0\u8a2d\u8a08\u898f\u7bc4\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, RCS2024-55, 2024\u5e74 6\u6708.<\/li>\n<li>\u5897\u5ca1\u6176\u609f, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201cDA-QSM\u3092\u7528\u3044\u305f\u30df\u30ea\u6ce2MIMO\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u53cc\u7dda\u5f62\u63a8\u8ad6\u306b\u57fa\u3065\u304f\u4f4e\u6f14\u7b97\u91cf\u306aLLR\u8a08\u7b97\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, RCS2024-57, 2024\u5e74 6\u6708.<\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20241028kcG7\/\">\u5c0f\u6797\u6953\u8cc0, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u671f\u5f85\u5024\u4f1d\u642c\u6cd5\u306b\u57fa\u3065\u304fIDD\u3092\u7528\u3044\u305f\u7b26\u53f7\u5316\u9ad8\u591a\u5024\u5909\u8abfMIMO\u4fe1\u53f7\u691c\u51fa\u306b\u95a2\u3059\u308b\u691c\u8a0e,\u201d \u9769\u65b0\u7684\u7121\u7dda\u901a\u4fe1\u6280\u8853\u306b\u95a2\u3059\u308b\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a (MIKA2024), 2024\u5e74 10\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20241029RcG7\/\">\u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u30ac\u30a6\u30b9\u4fe1\u5ff5\u4f1d\u642c\u6cd5\u3068\u671f\u5f85\u5024\u4f1d\u642c\u6cd5\u306b\u304a\u3051\u308b\u81ea\u5df1\u96d1\u97f3\u4f1d\u642c\u306e\u6291\u5236\u539f\u7406\u306b\u95a2\u3059\u308b\u6bd4\u8f03\u691c\u8a0e,\u201d \u9769\u65b0\u7684\u7121\u7dda\u901a\u4fe1\u6280\u8853\u306b\u95a2\u3059\u308b\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a (MIKA2024), 2024\u5e74 10\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20241029xcG7\/\">\u5897\u5ca1\u6176\u609f, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u6e96\u6700\u9069\u5fa9\u8abf\u6cd5\u3092\u7528\u3044\u305f\u7a7a\u9593\u591a\u91cd\u3068\u7a7a\u9593\u5909\u8abf\u306e\u6027\u80fd\u6bd4\u8f03\u306b\u95a2\u3059\u308b\u691c\u8a0e,\u201d \u9769\u65b0\u7684\u7121\u7dda\u901a\u4fe1\u6280\u8853\u306b\u95a2\u3059\u308b\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a (MIKA2024), 2024\u5e74 10\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/www.gakkai-web.net\/sita\/ad_pro\/index.html\">\u53e4\u571f\u4e95\u667a\u6625, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u4e00\u822c\u5316\u8fd1\u4f3c\u30e1\u30c3\u30bb\u30fc\u30b8\u4f1d\u642c\u6cd5\u306e\u6df1\u5c64\u5c55\u958b\u306b\u304a\u3051\u308b\u5b66\u7fd2\u5b89\u5b9a\u5316\u306b\u95a2\u3059\u308b\u691c\u8a0e,\u201d \u7b2c47\u56de\u60c5\u5831\u7406\u8ad6\u3068\u305d\u306e\u5fdc\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SITA2024), 4.4.1, 2024\u5e74 12\u6708.<\/a><\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250305Nc8v\/\">\u5c0f\u6797\u6953\u8cc0, \u9ad8\u6a4b\u62d3\u6d77, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, \u201c\u9ad8\u591a\u5024QAM\u3092\u7528\u3044\u305f\u7b26\u53f7\u5316MIMO\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u7e70\u308a\u8fd4\u3057\u4fe1\u53f7\u691c\u51fa\u306b\u304a\u3051\u308b\u5916\u90e8\u5024\u751f\u6210\u6cd5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, WBS2024-79, 2025\u5e74 3\u6708.<\/li>\n<li><a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250305Lc85\/\">\u5897\u5ca1\u6176\u609f, \u9ad8\u6a4b\u62d3\u6d77, \u30a2\u30d6\u30ec\u30a6\u30b8\u30e5\u30bc\u30c3\u30da, \u843d\u5408\u79c0\u6a39, \u201c\u56db\u5143\u6570\u9818\u57dfSuper MDS\u306b\u57fa\u3065\u304f3\u6b21\u5143\u5c4b\u5185\u4f4d\u7f6e\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u4fe1\u5b66\u6280\u5831, WBS2024-80, 2025\u5e74 3\u6708.<\/a><\/li>\n<\/ul>\n<h5>\u53e3\u982d\u767a\u8868 (Oral Presentations)<\/h5>\n<ul>\n<li>\u4f0a\u85e4\u8ce2\u592a, \u9ad8\u6a4b\u62d3\u6d77, \u77f3\u6a4b\u529f\u81f3, \u8863\u6590\u4fe1\u4ecb, \u843d\u5408\u79c0\u6a39, &#8220;\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MIMO-OFDM\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u30d9\u30a4\u30ba\u7dcf\u7dda\u5f62\u63a8\u8ad6\u306b\u57fa\u3065\u304f\u901a\u4fe1\u8def\u30fbCFO\u30fb\u30c7\u30fc\u30bf\u306e\u540c\u6642\u63a8\u5b9a, &#8221; 2025\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, B-5A-47, 2025\u5e74 3\u6708.<\/li>\n<li>\u539f\u5c06\u771f, \u9ad8\u6a4b\u62d3\u6d77, \u843d\u5408\u79c0\u6a39, \u201c\u30df\u30ea\u6ce2MIMO-OFDM\u901a\u4fe1\u8def\u63a8\u5b9a\u306e\u305f\u3081\u306e\u30c6\u30f3\u30bd\u30eb\u5206\u89e3\u306e\u6df1\u5c64\u5c55\u958b\u3068\u305d\u306e\u640d\u5931\u95a2\u6570\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d 2025\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, B-5A-04, 2025\u5e74 3\u6708.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>2026\u5e74\u5ea6 (FY 2026) \u8ad6\u6587 (Journal Papers) F. Kobayashi, T. Takahashi, S. Ibi, T. Doi, K. Muraoka and H. Ochiai, &#8220;Vector Similarity Search-Based MCS Selection in &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/pages\/190"}],"collection":[{"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/comments?post=190"}],"version-history":[{"count":67,"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/pages\/190\/revisions"}],"predecessor-version":[{"id":1244,"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/pages\/190\/revisions\/1244"}],"wp:attachment":[{"href":"http:\/\/www2a.comm.eng.osaka-u.ac.jp\/ochiailab\/index.php\/wp-json\/wp\/v2\/media?parent=190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}