Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Luong, Nguyen Cong"'
In a large-scale distributed machine learning system, coded computing has attracted wide-spread attention since it can effectively alleviate the impact of stragglers. However, several emerging problems greatly limit the performance of coded distribut
Externí odkaz:
http://arxiv.org/abs/2406.04747
Autor:
Van Chien, Trinh, Cong, Mai Dinh, Luong, Nguyen Cong, Do, Tri Nhu, Kim, Dong In, Chatzinotas, Symeon
In this paper, we investigate a joint computation offloading and target tracking in Integrated Sensing and Communication (ISAC)-enabled unmanned aerial vehicle (UAV) network. Therein, the UAV has a computing task that is partially offloaded to the gr
Externí odkaz:
http://arxiv.org/abs/2404.08396
Autor:
Nguyen, Trung Thanh, Luong, Nguyen Cong, Feng, Shaohan, Nguyen, Tien Hoa, Elbassioni, Khaled, Niyato, Dusit, Kim, Dong In
We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share spectrum with multiple radars. Furthermore, RSMA enables flexible and p
Externí odkaz:
http://arxiv.org/abs/2303.17392
Autor:
Nguyen, Van-Dinh, Vu, Thang X., Nguyen, Nhan Thanh, Nguyen, Dinh C., Juntti, Markku, Luong, Nguyen Cong, Hoang, Dinh Thai, Nguyen, Diep N., Chatzinotas, Symeon
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN). So far, however, the applicability of O-RAN in controlling
Externí odkaz:
http://arxiv.org/abs/2302.02711
Autor:
Luong, Nguyen Cong, Pham, Quoc-Viet, Huynh-The, Thien, Nguyen, Van-Dinh, Ng, Derrick Wing Kwan, Chatzinotas, Symeon
Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency data processing in Metaverse. However, edge computing resources are ofte
Externí odkaz:
http://arxiv.org/abs/2212.06463
Autor:
Hoang, Dang-Y, Nguyen, Tien-Hoa, Ngo, Vu-Duc, Nguyen, Trung Tan, Luong, Nguyen Cong, Van Luong, Thien
In this paper, we propose a deep learning-based signal detector called DuaIM-3DNet for dual-mode index modulation-based three-dimensional (3D) orthogonal frequency division multiplexing (DM-IM-3D-OFDM). Herein, DM-IM-3D- OFDM is a subcarrier index mo
Externí odkaz:
http://arxiv.org/abs/2209.09521
Autor:
Ngo, Vu-Duc, Van Luong, Thien, Luong, Nguyen Cong, Le, Minh-Tuan, Le, Thi Thanh Huyen, Tran, Xuan-Nam
This paper analyzes the bit error rate (BER) of multicarrier index keying - orthogonal frequency division multiplexing (MCIK-OFDM) with selection combining (SC) diversity reception. Particularly, we propose a generalized framework to derive the BER f
Externí odkaz:
http://arxiv.org/abs/2207.14459
Autor:
Ngo, Vu-Duc, Van Luong, Thien, Luong, Nguyen Cong, Trang, Mai Xuan, Le, Minh-Tuan, Le, Thi Thanh Huyen, Tran, Xuan-Nam
This paper proposes a novel spread spectrum and sub-carrier index modulation (SS-SIM) scheme, which is integrated to orthogonal frequency division multiplexing (OFDM) framework to enhance the diversity over the conventional IM schemes. Particularly,
Externí odkaz:
http://arxiv.org/abs/2207.14454
Federated learning (FL) becomes popular and has shown great potentials in training large-scale machine learning (ML) models without exposing the owners' raw data. In FL, the data owners can train ML models based on their local data and only send the
Externí odkaz:
http://arxiv.org/abs/2111.11850
Autor:
Van, Nguyen Thi Thanh, Nguyen, Huy T., Luong, Nguyen Cong, Tien, Ngo Manh, Niyato, Dusit, Kim, Dong In
In this paper, we consider an integrated data and energy network and D2D communication coexistence (DED2D) system. The DED2D system allows a base station (BS) to transfer data to information-demanded users (IUs) and energy to energy-demanded users (E
Externí odkaz:
http://arxiv.org/abs/2111.08956