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In this paper, we aim to maximize the energy efficiency of cellular wireless networks. Specifically, we address the power allocation problem in multi-cell multi-carrier systems. Considering realistic base station power consumption models,…

Networking and Internet Architecture · Computer Science 2016-10-18 Kemal Davaslioglu , Cemil Can Coskun , Ender Ayanoglu

This paper investigates the joint data and pilot power optimization for maximum sum spectral efficiency (SE) in multi-cell Massive MIMO systems, which is a non-convex problem. We first propose a new optimization algorithm, inspired by the…

Information Theory · Computer Science 2019-03-21 Trinh Van Chien , Emil Björnson , Erik G. Larsson

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…

Information Theory · Computer Science 2022-05-05 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak , Martin Schubert , Ronald Boehnke , Wen Xu

Traditional simultaneous wireless information and power transfer (SWIPT) with power splitting assumes perfect channel state information (CSI), which is difficult to obtain especially in the massive multiple-input-multiple-output (MIMO)…

Information Theory · Computer Science 2019-08-21 Xihan Chen , Hei Victor Cheng , An Liu , Kaiming Shen , Min-Jian Zhao

We investigate the energy efficiency performance of cell-free Massive multiple-input multiple-output (MIMO), where the access points (APs) are connected to a central processing unit (CPU) via limited-capacity links. Thanks to the…

Information Theory · Computer Science 2019-07-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Erik G. Larsson , Pei Xiao

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

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

In this paper, we propose a beamforming design that jointly considers two conflicting performance metrics, namely the sum rate and fairness, for a multiple-input single-output non-orthogonal multiple access system. Unlike the conventional…

Signal Processing · Electrical Eng. & Systems 2019-02-18 Haitham Al-Obiedollah , Kanapathippillai Cumanan , Jeyarajan Thiyagalingam , Alister G. Burr , Zhiguo Ding , Octavia A. Dobre

We consider the problem of jointly optimizing ADC bit resolution and analog beamforming over a frequency-selective massive MIMO uplink. We build upon a popular model to incorporate the impact of low bit resolution ADCs, that hitherto has…

Signal Processing · Electrical Eng. & Systems 2019-02-28 Narayan Prasad , Xiao-Feng Qi , Alan Gatherer

A novel dynamic hybrid beamforming architecture is proposed to achieve the spatial multiplexing-power consumption tradeoff for near-field multiple-input multiple-output (MIMO) networks, where each radio frequency (RF) chain is connected to…

Information Theory · Computer Science 2023-12-27 Zheng Zhang , Yuanwei Liu , Zhaolin Wang , Jian Chen , Tony Q. S. Quek

In this paper, adaptive hybrid beamforming methods are proposed for millimeter-wave range massive multiple-input-multiple-output (MIMO) systems considering single carrier wideband transmission in uplink data mode. A statistical analog…

Information Theory · Computer Science 2020-07-02 Anil Kurt , Gokhan Muzaffer Guvensen

Cell-free networks are considered as a promising distributed network architecture to satisfy the increasing number of users and high rate expectations in beyond-5G systems. However, to further enhance network capacity, an increasing number…

Signal Processing · Electrical Eng. & Systems 2020-06-23 Shaocheng Huang , Yu Ye , Ming Xiao , H. Vincent Poor , Mikael Skoglund

Massive multiple-input multiple-output (MIMO) is expected to be a vital component in future 5G systems. As such, there is a need for new modeling in order to investigate the performance of massive MIMO not only at the physical layer, but…

Signal Processing · Electrical Eng. & Systems 2019-05-13 Emma Fitzgerald , Michał Pióro , Fredrik Tufvesson

Existing works on Cell-Free Massive MIMO primarily focus on optimising system throughput and energy efficiency under high-traffic scenarios with only a limited focus on variable user demand as required by higher network layers.…

Signal Processing · Electrical Eng. & Systems 2025-06-10 Robbert Beerten , Vida Ranjbar , Hazem Sallouha , Sofie Pollin

We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamforming scheme is adopted at each access point (AP) to keep…

Signal Processing · Electrical Eng. & Systems 2022-01-14 Muhammad Farooq , Markku Juntti , Le-Nam Tran

We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-antenna users in the same time-frequency resource. A simple…

Information Theory · Computer Science 2017-11-27 Hien Quoc Ngo , Le-Nam Tran , Trung Q. Duong , Michail Matthaiou , Erik G. Larsson

Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is able to provide good performance with the capability of…

Information Theory · Computer Science 2020-03-31 Hayoung Choi , Tao Jiang , Yuanming Shi , Xuan Liu , Khaled B. Letaief

This paper proposes energy-efficient coordinated beamforming strategies for multi-cell multi-user multiple-input single-output system. We consider a practical power consumption model, where part of the consumed power depends on the base…

Information Theory · Computer Science 2017-10-03 Oskari Tervo , Antti Tölli , Markku Juntti , Le-Nam Tran

Recently, researchers showed that dirty paper coding (DPC) is the optimal transmission strategy for multiple-input multiple-output broadcast channels (MIMO-BC). In this paper, we study how to determine the maximum weighted sum of DPC rates…

Information Theory · Computer Science 2007-07-13 Jia Liu , Y. Thomas Hou

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
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