建設現場における省電力広域無線を用いた3次元位置推定技術の研究
キーワード：位置推定, 建設現場, LPWAN
2021.04～2024.03.

無線LANの伝搬チャネル情報を利用した物体検知
キーワード：機械学習、物体検知、無線LAN
2019.04.

マルチキャリア信号および符号分割多重信号のためのピーク対平均電力比抑圧技術に関する研究
キーワード：マルチキャリア信号、符号分割多重信号、ピーク対平均電力比(PAPR)、PAPR低減
2004.05.

マルチキャリア変調方式を用いた高速電力線(PLC)伝送に関する研究

キーワード：電灯線通信、マルチキャリア変調、ホームネットワーク、高速伝送、適応等化
2004.09～2009.03.

MIMO定包絡線変調方式に関する研究
キーワード：MIMO, 定包絡線変調
2010.04～2015.03.

高周波電力増幅器における非線形歪み補償に関する研究
キーワード：移動無線通信、電力増幅器、非線形歪み補償技術
2004.12.

マルチキャリア変調方式を用いた高速無線伝送に関する研究
キーワード：移動無線通信, マルチキャリア伝送、高速伝送、周波数選択性フェージング
2001.04.

アダプティブアレーアンテナを用いた無線通信システムに関する研究
キーワード：アダプティブアレーアンテナ、空間分割多重、周波数利用効率
2006.09.

ユビキタス情報社会を支える通信基盤技術
2006.07～2009.03, 代表者：安元清俊, 九州大学, 九州大学（日本）、佐賀大学（日本）、北海道大学（日本）、東京工業大学（日本）、大阪大学（日本）
本研究では、アジアの情報通信先進国である日本とインドの拠点大学が協力して、無線通信及び光通信の高度化に求められる基盤技術について共同研究を行う。.

主要原著論文

1.	Nana Li, Wanming Hao, Fuhui Zhou, Zheng Chu, Shouyi Yang, Osamu Muta, Haris Gacanin, Min-Max Latency Optimization for IRS-aided Cell-Free Mobile Edge Computing Systems, IEEE Internet of Things Journal, 10.1109/JIOT.2023.3322751, 11, 5, 8757-8770, 2024.03, [URL].
2.	Ahmed Nasser, Osama Elnahas, Osamu Muta, and Zhi Quan, Data-Driven Spectrum Allocation and Power Control for NOMA HetNets, IEEE Transactions on Vehicular Technology, 10.1109/TVT.2023.3266188, 72, 9, 11685-11697, 2023.09, [URL].
3.	Wencai Yan, Wanming Hao, Chongwen Huang, Gangcan Sun, Osamu Muta, Haris Gacanin, and Chau Yuen, Beamforming Analysis and Design for Wideband THz Reconfigurable Intelligent Surface Communications, IEEE Journal on Selected Areas in Communications (JSAC), 10.1109/JSAC.2023.3288235, 41, 8, 2306-2320, 2023.08, [URL].
4.	Osamu Muta, Keisuke Takata, Kazuki Noguchi, Tomoki Murakami, and Shinya Ohtsuki, Device-free WLAN Based Indoor Localization Scheme with Spatially Concatenated CSI and Distributed Antennas, IEEE Transactions on Vehicular Technology, 10.1109/TVT.2022.3205767, 72, 1, 852-865, 2023.01, [URL].
5.	Mohamed S. Abdalzaher, Osamu Muta, A Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications, IEEE Internet-of-Things Journal, 10.1109/JIOT.2020.2996671, 7, 11, 11250-11261, 2020.11.
6.	Tomoya Kageyama, Osamu Muta, Haris Gacanin, Enhanced Peak Cancellation with Simplified In-Band Distortion Compensation for Massive MIMO-OFDM, IEEE Access, Vol.8, pp.73420-73431, July 2020., 2020.07.
7.	Tomoya Kageyama, Osamu Muta, Haris Gacanin, Performance Analysis of OFDM with Peak Cancellation Under EVM and ACLR Restrictions, IEEE Transactions on Vehicular Technology, Vol. 69, No. 6, pp.6230-6241, June 2020., 2020.07.
8.	Osamu Muta, Tomoya Kageyama, Performance analysis of precoded MIMO systems with adaptive peak power suppression, ITE Transactions on Media Technology and Applications, 10.3169/mta.8.2, 8, 1, 2-10, 2020.01, [URL], This paper presents two approaches for reducing the peak power in precoded multi-input multi-output (MIMO) systems with space division multiplexing (SDM). First, we present a peak power aware linear precoding scheme for MIMOSDM single carrier systems, where the precoder is designed to restrict per-antenna transmit power below a permissible level while mitigating the performance degradation caused by per-antenna power restriction. Second, we present an analytical method to represent bit error rate (BER) performance of maximum ratio combining (MRC) precoded massive MIMO OFDM systems with adaptive peak cancellation, where peak amplitude is canceled below a given threshold to reduce peak-to-average power ratio (PAPR). With this method, we clarify the impact of adaptive peak cancellation on approximated BER of MRCprecoded massive MIMO OFDM with an arbitrary number of the transmit antennas and users. Numerical results prove that our proposed approaches are effective in restricting the peak power at each antenna while mitigating performance degradation in BER performance of the precoded MIMO-SDM systems..
9.	Ahmed Nasser, Osamu Muta, Maha Elsabrouty, Haris Gacanin, Interference Mitigation and Power Allocation Scheme for Downlink MIMO-NOMA HetNet, IEEE Transactions on Vehicular Technology, 10.1109/TVT.2019.2918336, 68, 7, 6805-6816, 2019.07, [URL], In this paper, a novel interference mitigation and power allocation (PA) scheme is investigated for downlink non-orthogonal multiple access (NOMA) with multiple input multiple output (MIMO) technology in heterogeneous networks (HetNets). The proposed scheme, named PA based interference alignment and coordinated beamforming (PA-IA-CB), consists of two stages. The first stage applies two steps of IA-CB; one step for canceling the inter-cluster and the co-tier interference among small cells, whereas the other step deals with the inter-cluster interference within the macro cell. In the second stage, the cross-tier interference is proposed to be managed by properly handling the allocated power to the macro base station (MBS) and the small base stations (SBSs). The PA problem is modeled as a non-cooperative game between the MBS and the SBS with the aim of increasing the system sum rate. Simulation results verify the efficiency of the proposed technique in terms of total system sum rate and outage probability compared to the conventional schemes..
10.	Wanming Hao, Osamu Muta, Haris Gacanin, Price-Based Resource Allocation in Massive MIMO H-CRANs with Limited Fronthaul Capacity, IEEE Transactions on Wireless Communications, 10.1109/TWC.2018.2869749, 17, 11, 7691-7703, 2018.11, [URL], In this paper, we investigate the bandwidth and power allocation problem in remote radio head cluster (RRHC)-based millimeter wave (mm-wave) massive MIMO heterogeneous cloud radio access networks with limited fronthaul capacity. The coordinated multipoint transmission is applied in each RRHC for cancelling the intra-cluster interference. To avoid the inter-tier interference, distinct bandwidths are allocated to macro base station and RRHs. Following this, we formulate a bandwidth and power allocation optimization problem to maximize the downlink weighted sum rate of the system subject to per-RRHC power and fronthaul capacity constraints, which is a non-convex optimization problem and is difficult to directly solve. Next, we fix the bandwidth allocation and the original problem can be divided into two independent optimization problems, i.e., the weighted sum rate maximization problems of MUs and RRH users, respectively. For the former, the convex optimization technique can be used to solve it. As for the latter, a two-loop iterative algorithm is proposed to deal with it. Specifically, we propose the price-based outer iteration to control the fronthaul capacity and the weighted minimum mean square error-based inner iteration to obtain the power allocation. To this end, a 1-D search method is adopted to find the optimal bandwidth allocation. Finally, numerical results are conducted to verify the effectiveness of the proposed algorithms under different parameters..
11.	Wanming Hao, Osamu Muta, Haris Gacanin, Hiroshi Furukawa, Dynamic Small Cell Clustering and Non-Cooperative Game-Based Precoding Design for Two-Tier Heterogeneous Networks with Massive MIMO, IEEE Transactions on Communications, 10.1109/TCOMM.2017.2756934, 66, 2, 675-687, 2018.02, [URL], In this paper, we investigate the dynamic small cell (SC) clustering strategy and their precoding design problem for interference coordination in two-Tier heterogeneous networks (HetNets) with massive MIMO (mMIMO). To reduce interference among different SCs, an interference graph-based dynamic SC clustering scheme is proposed. Based on this, we formulate an optimization problem as design precoding weights at macro base station (MBS) and clustered SCs for maximizing the downlink sum rate of SC users (SUs) subject to the power constraint of each SC BS (SBS), while mitigating inter-cluster, eliminating inter-Tier, intra-cluster and multi-macro user (MU) interference. To eliminate the inter-Tier and multi-MU interference simultaneously, we propose a clustered SC block diagonalization precoding scheme for the MBS. Next, each SU's precoding vector at clustered SCs is designed as the product of the following two parts. The first part is designed with singular value decomposition to remove the intra-cluster interference. The second part is designed to coordinate the inter-cluster interference for maximizing the downlink sum rate of SUs, which is a non-convex optimization problem and difficult to solve directly. A non-cooperative game-based distributed algorithm is proposed to obtain a suboptimal solution. Meanwhile, we prove the existence and uniqueness of Nash equilibrium for the formed game. Finally, simulation results verify the effectiveness of our proposed schemes..

主要総説, 論評, 解説, 書評, 報告書等

主要学会発表等

1.	Osamu Muta, Peak-amplitude-aware Precoded MIMO Systems, IEICE Information and Communication Technology Forum 2015, 2015.06.
2.	景山 知哉, 大木 雄介, 牟田　修, Haris Gacanin, 古川　浩, 適応ピークキャンセラを用いたMIMO-OFDM信号のピーク電力低減に関する検討(3), 電子情報通信学会　通信方式研究会, 2015.02.
3.	Daisuke Kanemoto, Muta Osamu, Hiroshi Furukawa, Linearity Enhancement Technique for one bit A/D converter in wireless communication devices, International Symposium on Consumer Electronics 2014 (ISCE2014), 2014.06, [URL].
4.	Muta Osamu, Introduction of Research Activities on Wireless Communications in EJUST Center, IEICE Information and Communication Technology Forum 2014, 2014.05, [URL].
5.	Daisuke Kanemoto, Muta Osamu, Furukawa Hiroshi, Takahide Sato, Makoto Ohki, A Novel Idea of One Bit Resolution ADC for Small Analog Hardware Wireless Receivers, IEEE Symposium on Low-Power and High-Speed Chips (COOL Chips XVII), 2014.04.
6.	Muta Osamu, PAPR Reduction and Related Techniques for Power Efficient Multi-Carrier/Multi-Code Communication Systems, IEICE Information and Communication Technology Forum 2013, 2013.05, [URL].
7.	Osamu Muta, Construction and Blind Estimation of Phase Sequences for Subcarrier-Phase Control Based PAPR Reduction in LDPC Coded OFDM Systems, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E93-A, No.11, pp.2130-2140, 2010.11.

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