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相关论文: Power Control for Massive MIMO Systems with Nonort…

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We describe a robust multiperiod transmission plan- ning model including renewables and batteries, where battery output is used to partly offset renewable output deviations from forecast. A central element is a nonconvex battery operation…

最优化与控制 · 数学 2016-11-08 Daniel Bienstock , Carsten Matke , Gonzalo Munoz , Shuoguang Yang

This paper focuses on the use of a deep learning approach to perform sum-rate-max and max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we train a deep neural network in order to learn the mapping…

信息论 · 计算机科学 2019-08-30 Carmen D'Andrea , Alessio Zappone , Stefano Buzzi , Merouane Debbah

Pilot contamination problem in massive MIMO networks operating in time-division duplex (TDD) mode can limit their expected capacity to a great extent. This paper addresses this problem in cosine modulated multitone (CMT) based massive MIMO…

In cell-free massive multiple-input multiple-output systems, downlink power control is essential to ensure uniformly high service quality across users. Existing methods range from centralized iterative approaches requiring global channel…

信号处理 · 电气工程与系统科学 2026-05-27 Giovanni Di Gennaro , Amedeo Buonanno , Gianmarco Romano , Francesco Verde , Stefano Buzzi , Francesco A. N. Palmieri

Recently, the so-called cell-free Massive MIMO architecture has been introduced, wherein a very large number of distributed access points (APs) simultaneously and jointly serve a much smaller number of mobile stations (MSs). A variant of…

信息论 · 计算机科学 2017-10-24 Stefano Buzzi , Alessio Zappone

This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control,…

网络与互联网体系结构 · 计算机科学 2018-12-27 Shuai Zhang , Lu Liu , Yu Cheng , Xianghui Cao , Sheng Zhou , Zhisheng Niu , Hangguan Shan

Learning-based downlink power control in cell-free massive multiple-input multiple-output (CFmMIMO) systems offers a promising alternative to conventional iterative optimization algorithms, which are computationally intensive due to online…

机器学习 · 计算机科学 2024-12-02 Atchutaram K. Kocharlakota , Sergiy A. Vorobyov , Robert W. Heath

Utility-based power allocation in wireless ad-hoc networks is inherently nonconvex because of the global coupling induced by the co-channel interference. To tackle this challenge, we first show that the globally optimal point lies on the…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Lei Yang , Yalin E. Sagduyu , Junshan Zhang , Jason H. Li

A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a point-mass aircraft dynamical model with models of electrical…

最优化与控制 · 数学 2020-05-06 Martin Doff-Sotta , Mark Cannon , Marko Bacic

In this paper, we analyze the problem of power control in a multiuser MIMO network, where the optimal linear precoder is employed in each user to achieve maximum point- to-point information rate. We design a distributed power control…

计算机科学与博弈论 · 计算机科学 2014-12-03 Peyman Siyari , Hassan Aghaeinia

Non-cooperative cellular massive MIMO, combined with power control, is known to lead to significant improvements in per-user throughput compared with conventional LTE technology. In this paper, we investigate further refinements to massive…

In this paper, energy efficient power allocation for downlink massive MIMO systems is investigated. A constrained non-convex optimization problem is formulated to maximize the energy efficiency (EE), which takes into account the quality of…

信息论 · 计算机科学 2017-03-22 Jiadian Zhang , Yanxiang Jiang , Peng Li , Fuchun Zheng , Xiaohu You

Recent studies have shown that multi-step optimization based on Model Predictive Control (MPC) can effectively coordinate the increasing number of distributed renewable energy and storage resources in the power system. However, the…

分布式、并行与集群计算 · 计算机科学 2016-06-02 Junyao Guo , Gabriela Hug , Ozan Tonguz

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…

信息论 · 计算机科学 2013-03-20 Weiqiang Xu , Xiaodong Wang , Saleh Alshomrani

A massive MIMO system, represented by a base station with hundreds of antennas, is capable of spatially multiplexing many devices and thus naturally suited to serve dense crowds of wireless devices in emerging applications, such as…

In this paper, we study power-efficient resource allocation for multicarrier non-orthogonal multiple access (MC-NOMA) systems. The resource allocation algorithm design is formulated as a non-convex optimization problem which jointly designs…

信息论 · 计算机科学 2017-05-18 Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Hui-Ming Wang

Many common instances of power control problems for cellular and cell-free massive MIMO networks can be interpreted as max-min utility optimization problems involving affine interference mappings and polyhedral constraints. We show that…

In this paper, we deal with the power regulation of tethered-wing systems and demonstrate advantages of variable-pitch control in mitigating the dynamic mechanical loads and power fluctuations. The proposed scheme is based on a strategy…

系统与控制 · 电气工程与系统科学 2023-03-03 Mani Kakavand , Amin Nikoobin

In this paper, we investigate a multi-cell uplink non-orthogonal multiple access (NOMA) system with imperfect successive interference cancellation (SIC). The objective of the formulated optimization problem is to minimize the total power…

信息论 · 计算机科学 2020-07-21 M. Zeng , W. Hao , O. A. Dobre , Z. Ding , H. V. Poor

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

信息论 · 计算机科学 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera