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In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN…

Information Theory · Computer Science 2017-03-16 Zhengyu Zhu , Zheng Chu , Ning Wang , Sai Huang , Zhongyong Wang , Inkyu Lee

This work presents a method to maximize power-efficiency of fixed point multiplier units by decomposing them into sub-components. First, an encoder block converts the operands from a two's complement to a sign magnitude representation,…

Neural and Evolutionary Computing · Computer Science 2025-07-25 Felix Arnold , Maxence Bouvier , Ryan Amaudruz , Renzo Andri , Lukas Cavigelli

Radio frequency (RF) energy harvesting is key in attaining perpetual lifetime for time-critical wireless powered communication networks due to full control on energy transfer, far field region, small and low-cost circuitry. In this paper,…

Signal Processing · Electrical Eng. & Systems 2020-06-23 Muhammad Shahid Iqbal , Yalcin Sadi , Sinem Coleri

We investigate the optimal power allocation and optimal precoding for a multi-cell-processing (MCP) framework with limited cooperation. In particular, we consider two base stations(BSs) which maximize the achievable rate for two users…

Information Theory · Computer Science 2016-01-12 Samah A. M. Ghanem

This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has its own power constraint. We focus on the…

Information Theory · Computer Science 2020-03-02 Juping Zhang , Wenchao Xia , Minglei You , Gan Zheng , Sangarapillai Lambotharan , Kai-Kit Wong

Security-Constrained Optimal Power Flow (SCOPF) plays a crucial role in power grid stability but becomes increasingly complex as systems grow. This paper introduces PDL-SCOPF, a self-supervised end-to-end primal-dual learning framework for…

Machine Learning · Computer Science 2024-04-30 Seonho Park , Pascal Van Hentenryck

This work addresses weight optimization problem for fully-connected feed-forward neural networks. Unlike existing approaches that are based on back-propagation (BP) and chain rule gradient-based optimization (which implies iterative…

Machine Learning · Computer Science 2024-06-18 Slavisa Tomic , João Pedro Matos-Carvalho , Marko Beko

This paper focuses on the analysis and optimization of a class of linear one-bit precoding schemes for a downlink massive MIMO system under Rayleigh fading channels. The considered class of linear one-bit precoding is fairly general,…

Information Theory · Computer Science 2023-06-28 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

We consider a multiuser multiple-input single-output interference channel where the receivers are characterized by both quality-of-service (QoS) and radio-frequency (RF) energy harvesting (EH) constraints. We consider the power splitting…

Information Theory · Computer Science 2014-07-11 Stelios Timotheou , Ioannis Krikidis , Gan Zheng , Björn Ottersten

In this paper, we propose a generalized framework that combines the cognitive radio (CR) techniques for spectrum sharing and the simultaneous wireless information and power transfer (SWIPT) for energy harvesting (EH) in the conventional…

Information Theory · Computer Science 2019-10-02 Changick Song , Hoon Lee , Kyoung-Jae Lee

Physical layer security is a key issue in the full duplex (FD) communication systems due to the broadcast nature of wireless channels. In this paper, the joint design of information and artificial noise beamforming vectors is proposed for…

Information Theory · Computer Science 2017-09-21 Yanjie Dong , Ahmed El Shafie , Md. Jahangir Hossain , Julian Cheng , Naofal Al-Dhahir , Victor C. M. Leung

In this paper we first derived the mathematical expression for lower bound spectral efficiency (SE) calculation for zero-force (ZF), and minimum mean square error (MMSE). Secondly, we calculated the simulation SE with three algorithms for…

Signal Processing · Electrical Eng. & Systems 2019-02-14 Tasher Ali Sheikh , Joyatri Bora , Md. Anwar Hussain

In downlink multiuser multiple-input multiple-output (MIMO) systems, block diagonalization (BD) is a practical linear precoding scheme which achieves the same degrees of freedom (DoF) as the optimal linear/nonlinear precoding schemes.…

Information Theory · Computer Science 2012-02-23 Yong Zeng , Erry Gunawan , Yong Liang Guan

Precoding techniques are key to dealing with multiuser interference in the downlink of cell-free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate estimates of the channel state information at the…

Information Theory · Computer Science 2024-07-09 A. Flores , R. de Lamare

Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

In this paper, we consider delay-optimal MIMO precoder and power allocation design for a MIMO Link in wireless fading channels. There are $L$ data streams spatially multiplexed onto the MIMO link with heterogeneous packet arrivals and delay…

Information Theory · Computer Science 2009-06-02 Vincent K. N. Lau , Yan Chen

Secure wireless information and power transfer based on directional modulation is conceived for amplify-and-forward (AF) relaying networks. Explicitly, we first formulate a secrecy rate maximization (SRM) problem, which can be decomposed…

Information Theory · Computer Science 2018-03-15 Xiaobo Zhou , Jun Li , Feng Shu , Qingqing Wu , Yongpeng Wu , Wen Chen , Hanzo Lajos

This paper considers a multiuser full-duplex (FD) wireless communication system, where a FD radio base station (BS) serves multiple single-antenna half-duplex (HD) uplink and downlink users simultaneously. Unlike conventional interference…

Information Theory · Computer Science 2017-04-03 Mahmoud T. Kabir , Muhammad R. A. Khandaker , Christos Masouros

Large language models (LLMs) have recently demonstrated state-of-the-art performance across various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Zhenyi Wang , Li Zou , Shengyun Wei , Kai Li , Feifan Liao , Haibo Mi , Rongxuan Lai

Multicell coordinated beamforming (MCBF) has been recognized as a promising approach to enhancing the system throughput and spectrum efficiency of wireless cellular systems. In contrast to the conventional single-cell beamforming (SBF)…

Information Theory · Computer Science 2011-06-08 Chao Shen , Kun-Yu Wang , Tsung-Hui Chang , Zhengding Qiu , Chong-Yung Chi