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Related papers: Energy Efficiency of Massive MIMO: Coping with Dai…

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This chapter delves into the critical aspects of optimizing energy efficiency (EE) in active reconfigurable intelligent surface (RIS)-assisted massive MIMO (M-MIMO) wireless communication systems. We develop a comprehensive and unified…

Information Theory · Computer Science 2024-03-05 Wilson Souza , José Carlos Marinello , Taufik Abrão

One main goal of 5G-and-beyond systems is to simultaneously serve many users, each having a requested spectral efficiency (SE), in an energy-efficient way. The network capacity cannot always satisfy all the SE requirements, for example,…

Information Theory · Computer Science 2020-06-16 Trinh Van Chien , Emil Björnson , Hien Quoc Ngo

The Massive Multiple-Input Multiple-Output (MMIMO) technique together with Heterogeneous Network (Het-Net) deployment enables high throughput of 5G and beyond networks. However, a high number of antennas and a high number of Base Stations…

Networking and Internet Architecture · Computer Science 2021-07-23 Marcin Hoffmann , Paweł Kryszkiewicz

Massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems have recently been proposed as a novel combination of spatial modulation (SM) and of conventional massive MIMO, where the base station (BS) is equipped with a…

Information Theory · Computer Science 2016-12-28 Longzhuang He , Jintao Wang , Jian Song , Lajos Hanzo

This paper considers a mobile edge computing-enabled cell-free massive MIMO wireless network. An optimization problem for the joint allocation of uplink powers and remote computational resources is formulated, aimed at minimizing the total…

Information Theory · Computer Science 2022-02-17 Giovanni Interdonato , Stefano Buzzi

In this paper, we study the energy efficiency (EE) maximization problem for an uplink millimeter wave massive multiple-input multiple-output system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formed according…

Information Theory · Computer Science 2019-03-15 Ming Zeng , Wanming Hao , Octavia A. Dobre , H. Vincent Poor

Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems. However, the transmitter architecture may contain several parameters…

Signal Processing · Electrical Eng. & Systems 2024-07-01 Hamed Hojatian , Zoubeir Mlika , Jérémy Nadal , Jean-François Frigon , François Leduc-Primeau

We consider two-way amplify and forward relaying, where multiple full-duplex user pairs exchange information via a shared full-duplex massive multiple-input multiple-output (MIMO) relay. Most of the previous massive MIMO relaying works…

Information Theory · Computer Science 2017-10-05 Ekant Sharma , Rohit Budhiraja , K Vasudevan , Lajos Hanzo

We consider the uplink of a multiuser massive MIMO system wherein a base station (BS) having $M$ antennas communicates coherently with $K$ single antenna user terminals (UTs). We study the energy efficiency of this system while taking the…

Information Theory · Computer Science 2014-04-14 Sudarshan Mukherjee , Saif Khan Mohammed

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

This work analyzes a mmWave single-cell network, which comprises a macro base station (BS) and an overlaid tier of small-cell BSs using a wireless backhaul for data traffic. We look for the optimal number of antennas at both BS and…

Information Theory · Computer Science 2017-03-29 Andrea Pizzo , Luca Sanguinetti

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…

Information Theory · Computer Science 2017-03-22 Jiadian Zhang , Yanxiang Jiang , Peng Li , Fuchun Zheng , Xiaohu You

This paper investigates the energy efficiency optimization for movable antenna (MA) systems by considering the time delay and energy consumption introduced by MA movement. We first derive the upper bound on energy efficiency for a…

Information Theory · Computer Science 2025-08-21 Jingze Ding , Zijian Zhou , Yuping Zhao , Bingli Jiao

Simultaneous wireless information and power transfer (SWIPT) is anticipated to have great applications in fifth-generation (5G) and beyond communication systems. In this paper, we address the energy efficiency (EE) optimization problem for…

Information Theory · Computer Science 2017-10-24 Jie Tang , Daniel K. C. So , Arman Shojaeifard , Kai-Kit Wong

This paper investigates energy efficiency maximization in an integrated sensing and communication framework for satellite-UAV MIMO systems, where a LEO satellite and a UAV simultaneously serve ground users and perform target sensing. Both…

Information Theory · Computer Science 2026-03-03 Ngo Tran Anh Thu , Pham Dang Anh Duc , Bui Trong Duc , Nguyen Minh Quan , Trinh Van Chien , Hoang D. Le

In this paper, we develop a framework to maximize the network energy efficiency (EE) by optimizing joint user-base station~(BS) association,~subchannel assignment, and power control considering an in-band full-duplex (IBFD)-enabled…

Signal Processing · Electrical Eng. & Systems 2020-10-21 Sheyda Zarandi , Ata Khalili , Mehdi Rasti , Hina Tabassum

Despite the common belief that substantial capacity gains can be achieved by using more antennas at the base-station (BS) side in cellular networks, the effect of BS antenna topology on the capacity scaling behavior is little understood. In…

Information Theory · Computer Science 2014-10-07 Zhiyang Liu , Lin Dai

The first measured results for massive MIMO performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served in real-time using a 100-antenna base Station (BS) at 3.7 GHz. When such a large number of…

Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs), is foreseen as a key step towards the next generation…

Networking and Internet Architecture · Computer Science 2017-01-26 Lixing Chen , Sheng Zhou , Jie Xu

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani
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