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Block diagonalization (BD) is a practical linear precoding technique that eliminates the inter-user interference in downlink multiuser multiple-input multiple-output (MIMO) systems. In this paper, we apply BD to the downlink transmission in…

Information Theory · Computer Science 2010-06-23 Rui Zhang

In this paper, we deal with the performance analysis of full-duplex relaying in decode-&-forward cooperative networks with multiple-antenna terminals. More specifically, by analyzing the end-to-end statistics, we derive the accurate…

Information Theory · Computer Science 2017-03-10 Sung Sik Nam , Duckdong Hwang , Janghoon Yang

Due to power attenuation, improving transmission efficiency in the radio-frequency (RF) band remains a significant challenge, which hinders advancements in various fields of the Internet of Things (IoT), such as wireless power transfer…

Numerical Analysis · Mathematics 2025-01-28 Qingwei Jiang , Mingqing Liu , Mengyuan Xu , Wen Fang , Mingliang Xiong , Qingwen Liu , Shengli Zhou

Belief Propagation (BP) is a message-passing algorithm for approximate inference over Probabilistic Graphical Models (PGMs), finding many applications such as computer vision, error-correcting codes, and protein-folding. While general, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-26 Mark Van der Merwe , Vinu Joseph , Ganesh Gopalakrishnan

We study federated learning (FL), where power-limited wireless devices utilize their local datasets to collaboratively train a global model with the help of a remote parameter server (PS). The PS has access to the global model and shares it…

Information Theory · Computer Science 2020-08-26 Mohammad Mohammadi Amiri , Deniz Gunduz , Sanjeev R. Kulkarni , H. Vincent Poor

We propose a hybrid message passing method for distributed cooperative localization and tracking of mobile agents. Belief propagation and mean field message passing are employed for, respectively, the motion-related and measurement-related…

Systems and Control · Computer Science 2016-05-25 Burak Çakmak , Daniel N. Urup , Florian Meyer , Troels Pedersen , Bernard H. Fleury , Franz Hlawatsch

To accommodate the explosive wireless traffics, massive multiple-input multiple-output (MIMO) is regarded as one of the key enabling technologies for next-generation communication systems. In massive MIMO cellular networks, coordinated…

Information Theory · Computer Science 2023-03-27 Jungang Ge , Ying-Chang Liang , Liao Zhang , Ruizhe Long , Sumei Sun

In this paper, we propose a new, combined Zero-Forcing Per-Group Precoding (ZF-PGP) method that achieves very high gains in comparison to ZF Precoding techniques, while it simultaneously offers individually separate streams to reach…

Information Theory · Computer Science 2018-10-22 Thomas Ketseoglou , Ender Ayanoglu

This work deals with the problem of uplink communication and localization in an integrated sensing and communication system, where users are in the near field (NF) of antenna aperture due to the use of high carrier frequency and large…

Information Theory · Computer Science 2024-04-16 Fei Liu , Zhengdao Yuan , Qinghua Guo , Yuanyuan Zhang , Zhongyong Wang , J. Andrew Zhang

Cell-free Massive MIMO (multiple-input multiple-output) is a promising distributed network architecture for 5G-and-beyond systems. It guarantees ubiquitous coverage at high spectral efficiency (SE) by leveraging signal co-processing at…

Information Theory · Computer Science 2020-04-17 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

We study a distributed antenna system where $L$ antenna terminals (ATs) are connected to a Central Processor (CP) via digital error-free links of finite capacity $R_0$, and serve $K$ user terminals (UTs). We contribute to the subject in the…

Information Theory · Computer Science 2013-03-06 Song-Nam Hong , Giuseppe Caire

In this paper, we propose an alternative for routing based packet forwarding, which uses network coding to increase transmission efficiency, in terms of both compression and error resilience. This non-adaptive encoding is called quantized…

Information Theory · Computer Science 2012-10-04 Mahdy Nabaee , Fabrice Labeau

Although Federated Learning has been widely studied in recent years, there are still high overhead expenses in each communication round for large-scale models such as Vision Transformer. To lower the communication complexity, we propose a…

Machine Learning · Computer Science 2026-04-21 Junkang Liu , Fanhua Shang , Yuanyuan Liu , Hongying Liu , Yuangang Li , YunXiang Gong

With its privacy preservation and communication efficiency, federated learning (FL) has emerged as a learning framework that suits beyond 5G and towards 6G systems. This work looks into a future scenario in which there are multiple groups…

Information Theory · Computer Science 2021-10-19 Tung T. Vu , Hien Quoc Ngo , Duy T. Ngo , Minh N Dao , Erik G. Larsson

The provision of communication services via portable and mobile devices, such as aerial base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally, IoT/edge devices need to transmit the data directly to the base…

Machine Learning · Computer Science 2022-01-21 Sunder Ali Khowaja , Kapal Dev , Parus Khuwaja , Paolo Bellavista

In this paper we study energy efficient joint power allocation and beamforming for coordinated multicell multiuser downlink systems. The considered optimization problem is in a non-convex fractional form and hard to tackle. We propose to…

Information Theory · Computer Science 2013-10-09 He Shiwen , Huang Yongming , Jin Shi , Yang Luxi

This paper considers a network of a multi-antenna array base station (BS) and a reconfigurable intelligent surface (RIS) to deliver both information to information users (IUs) and power to energy users (EUs). The RIS links the connection…

Information Theory · Computer Science 2022-01-11 H. Yu , H. D. Tuan , E. Dutkiewicz , H. V. Poor , L. Hanzo

This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC to two basic modes of cooperative communications, namely…

Information Theory · Computer Science 2024-03-20 Chenghong Bian , Yulin Shao , Haotian Wu , Deniz Gunduz

Decentralized federated learning (DFL) has emerged as a transformative server-free paradigm that enables collaborative learning over large-scale heterogeneous networks. However, it continues to face fundamental challenges, including data…

Machine Learning · Computer Science 2026-03-03 Shan Sha , Shenglong Zhou , Xin Wang , Lingchen Kong , Geoffrey Ye Li

In this paper, we propose a full-duplex relay (FDR) based on a zero-forcing beamforming (ZFBF) for a multiuser MIMO relay system. The ZFBF is employed at the base station to suppress both the self-interference of the relay and the multiuser…

Information Theory · Computer Science 2010-06-10 Jong-Ho Lee , Oh-Soon Shin