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Related papers: Low-complexity Approaches for MIMO Capacity with P…

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We propose an iterative mode-dropping algorithm that optimizes input signals to achieve the sum capacity of the MIMO-MAC with per-antenna power constraint. The algorithm successively optimizes each user's input covariance matrix by applying…

Information Theory · Computer Science 2015-03-20 Yang Zhu , Mai Vu

We take two new approaches to design efficient algorithms for transmitter optimization under rate constraints, to guarantee the Quality of Service in general MIMO interference networks, which is a combination of multiple interfering…

Information Theory · Computer Science 2013-11-26 An Liu , Youjian , Liu , Haige Xiang , Wu Luo

MIMO capacity with a joint total and per-antenna average power constraint is considered in this work. The problem arises when, besides having a limited available power at the transmitter, also the individual antennas cannot radiate power…

Information Theory · Computer Science 2019-02-06 Giorgio Taricco

We take two new approaches to design efficient algorithms for transmitter optimization under rate constraints to guarantee the Quality of Service in general MIMO interference networks, named B-MAC Networks, which is a combination of…

Information Theory · Computer Science 2010-06-29 An Liu , Youjian , Liu , Haige Xiang , Wu Luo

This paper characterizes the capacity region of Gaussian MIMO broadcast channels (BCs) with per-antenna power constraint (PAPC). While the capacity region of MIMO BCs with a sum power constraint (SPC) was extensively studied, that under…

Information Theory · Computer Science 2017-05-18 Thuy M. Pham , Ronan Farrell , Le-Nam Tran

In this paper, the sum capacity of the Gaussian Multiple Input Multiple Output (MIMO) Cognitive Radio Channel (MCC) is expressed as a convex problem with finite number of linear constraints, allowing for polynomial time interior point…

Information Theory · Computer Science 2008-02-29 Rajiv Soundararajan , Sriram Vishwanath

In this letter, we study a discrete optimization problem, namely, the maximization of channel capacity in fluid multiple-input multiple-output (fluid-MIMO) systems through the selection of antenna ports/positions at both the transmitter and…

Signal Processing · Electrical Eng. & Systems 2024-09-11 Christos N. Efrem , Ioannis Krikidis

We establish the optimal input signaling and the capacity of MIMO channels under per-antenna power constraint. While admitting a linear eigenbeam structure, the optimal input is no longer diagonalizable by the channel right singular vectors…

Information Theory · Computer Science 2015-03-19 Mai Vu

This paper presents novel numerical approaches to finding the secrecy capacity of the multiple-input multiple-output (MIMO) wiretap channel subject to multiple linear transmit covariance constraints, including sum power constraint, per…

Information Theory · Computer Science 2021-07-09 Anshu Mukherjee , Björn Ottersten , Le-Nam Tran

Pixel antenna is a promising technology to enhance the wireless communication data rate by adaptively reconfiguring each antenna's radiation pattern via a so-called antenna coding technique which controls the states of switches connected to…

Information Theory · Computer Science 2025-11-18 Shenrui Lin , Shuowen Zhang

In this paper, we investigate the capacity of a multiple-input multiple-output (MIMO) optical intensity channel (OIC) under per-antenna peak- and average-intensity constraints. We first consider the case where the average intensities of…

Information Theory · Computer Science 2024-01-10 Ru-Han Chen , Longguang Li , Jia-Ning Guo , Xu Yang , Jian Zhang , Lin Li

This paper investigates joint antenna selection and optimal transmit power in multi cell massive multiple input multiple output systems. The pilot interference and activated transmit antenna selection plays an essential role in maximizing…

Information Theory · Computer Science 2021-06-08 Adeeb Salh , Lukman Audah , Nor Shahida Mohd Shah , Qazwan Abdullah , Noorsaliza Abdullah , Jameel Mukred , Shipun Hamzah

Owing to the structure of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC), associated optimization problems such as capacity region computation and beamforming optimization are typically non-convex, and cannot be…

Information Theory · Computer Science 2008-09-25 Lan Zhang , Rui Zhang , Ying-Chang Liang , Yan Xin , H. Vincent Poor

Conventional multiple-input multiple-output (MIMO) systems mainly rely on fixed antenna arrays, which limits their capability to adapt the effective channel matrix to the propagation environment. Rotatable antennas (RAs), which enable…

Information Theory · Computer Science 2026-04-30 Zheng Ailing , Wu Qingqing , Peng Xingxiang , Peng Qiaoyan , Zheng Ziyuan , Chen Wen

In this paper, resource allocation for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) downlink networks with large numbers of base station antennas is studied. Assuming perfect channel state…

Information Theory · Computer Science 2012-11-16 Derrick Wing Kwan Ng , Robert Schober

In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-user interference. This is a challenging problem due to…

Optimization and Control · Mathematics 2019-09-04 Yang Yang , Marius Pesavento , Symeon Chatzinotas , Björn Ottersten

We consider power allocations in downlink cellular wireless systems where the basestations are equipped with multiple transmit antennas and the mobile users are equipped with single receive antennas. Such systems can be modeled as multiuser…

Information Theory · Computer Science 2013-03-20 Weiqiang Xu , Xiaodong Wang , Saleh Alshomrani

Due to the large power consumption in RF-circuitry of massive MIMO systems, practically relevant performance measures such as energy efficiency or bandwidth efficiency are neither necessarily monotonous functions of the total transmit power…

Information Theory · Computer Science 2018-02-20 Ali Bereyhi , Saba Asaad , Ralf R. Müller

The optimization of the transmit parameters (power allocation and steering vectors) for the MIMO BC under general linear constraints is treated under the optimal DPC coding strategy and the simple suboptimal linear zero-forcing beamforming…

Information Theory · Computer Science 2009-05-29 Hoon Huh , Haralabos Papadopoulos , Giuseppe Caire

In this work, novel upper and lower bounds for the capacity of channels with arbitrary constraints on the support of the channel input symbols are derived. As an immediate practical application, the case of multiple-input multiple-output…

Information Theory · Computer Science 2017-09-01 Alex Dytso , Mario Goldenbaum , Shlomo Shamai , H. Vincent Poor
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