中文
相关论文

相关论文: Employing Antenna Selection to Improve Energy-Effi…

200 篇论文

In this paper, we consider the multi-user detection problem in a multiple-input multiple-output (MIMO) system, where the number of receive antennas at the base station (BS) grows infinitely large. We propose a new performance metric, called…

信号处理 · 电气工程与系统科学 2021-07-22 Ruichen Jiang , Ya-Feng Liu

This paper considers a deterministic physical model of massive multiple-input multiple-output (MIMO) systems with uniform linear antenna arrays. It is known that the maximum spatial degrees of freedom is achieved by spacing antenna elements…

信息论 · 计算机科学 2016-01-22 Keigo Takeuchi

This paper studies the transmit antenna selection in massive multiple-input multiple-output (MIMO) system over wiretap channel. The transmitter, equipped with a large-scale antenna array whose size is much larger than that of the…

信号处理 · 电气工程与系统科学 2019-01-23 Chongjun Ouyang , Zeliang Ou , Hongwen Yang

Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio (NR) and addresses all…

信息论 · 计算机科学 2018-08-29 Liesbet Van der Perre , Liang Liu , Erik G. Larsson

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…

信息论 · 计算机科学 2025-08-21 Jingze Ding , Zijian Zhou , Yuping Zhao , Bingli Jiao

We consider a multicell MIMO uplink channel where each base station (BS) is equipped with a large number of antennas N. The BSs are assumed to estimate their channels based on pilot sequences sent by the user terminals (UTs). Recent work…

信息论 · 计算机科学 2011-09-26 Jakob Hoydis , Stephan ten Brink , Merouane Debbah

Beamspace multi-input multi-output (MIMO) relying on lens antenna arrays can significantly reduce the number of radio-frequency chains in millimeter-wave (mmWave) communication systems through beam selection. However, the beamforming gain…

信号处理 · 电气工程与系统科学 2020-04-20 Chenghao Feng , Wenqian Shen , Jianping An

In this paper power allocation in a cellular network, which transmitter uses massive multiple inputs multiple outputs (MIMO) system was studied. As circuit power consumption is increased by the number of antenna in transmitter and users,…

信号处理 · 电气工程与系统科学 2019-01-03 Saeed Sadeghi Vilni

Antenna selection (AS) is regarded as the key promising technology to reduce hardware cost but keep relatively high spectral efficiency in multi-antenna systems. By selecting a subset of antennas to transceive messages, AS greatly…

信号处理 · 电气工程与系统科学 2018-12-18 Chongjun Ouyang , Hongwen Yang

Massive MIMO is a promising technique to meet the exponential growth of mobile traffic demand. However, contrary to the current systems, energy consumption of next generation networks is required to be load adaptive as the network load…

网络与互联网体系结构 · 计算机科学 2015-12-08 M M Aftab Hossain , Cicek Cavdar , Emil Björnson , Riku Jäntti

Assuming that the number of possible decisions for a transmitter (e.g., the number of possible beamforming vectors) has to be finite and is given, this paper investigates for the first time the problem of determining the best decision set…

信息论 · 计算机科学 2019-09-17 Hang Zou , Chao Zhang , Samson Lasaulce , Lucas Saludjian , Patrick Panciatici

Power consumption is one of the major issues in massive MIMO (multiple input multiple output) systems, causing increased long-term operational cost and overheating issues. In this paper, we consider per-antenna power allocation with a given…

信息论 · 计算机科学 2021-01-29 Navneet Garg , Mathini Sellathurai , Tharmalingam Ratnarajah

Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i) High computational complexity of mode selection, and (ii)…

In this work, we consider the downlink of a multi-cell multiple-input multiple-output (MIMO) system and find the jointly optimal number of base station (BS) antennas and transmission powers that minimize the power consumption while…

信息论 · 计算机科学 2019-02-22 Kamil Senel , Emil Björnson , Erik G. Larsson

Ultra network densification and Massive MIMO are considered major 5G enablers since they promise huge capacity gains by exploiting proximity, spectral and spatial reuse benefits. Both approaches rely on increasing the number of access…

网络与互联网体系结构 · 计算机科学 2015-04-10 Antonis G. Gotsis , Stelios Stefanatos , Angeliki Alexiou

We consider a Multiple Input Single Output (MISO) point-to-point communication system in which the transmitter is designed such that, each antenna can transmit information or harvest energy at any given point in time. We evaluate the…

信息论 · 计算机科学 2018-03-22 Y. Ozan Basciftci , Amr Abdelaziz , C. Emre Koksal

We consider the uplink of a single-cell multi-user multiple-input multiple-output (MIMO) system with several single antenna transmitters/users and one base station with $N$ antennas in the $N\rightarrow\infty$ regime. The base station…

信息论 · 计算机科学 2017-08-23 Erdem Koyuncu

Large number of antennas and radio frequency (RF) chains at the base stations (BSs) lead to high energy consumption in massive MIMO systems. Thus, how to improve the energy efficiency (EE) with a computationally efficient approach is a…

信息论 · 计算机科学 2020-10-28 Mangqing Guo , M. Cenk Gursoy

Large-scale distributed antenna systems with many access points (APs) that serve the users by coherent joint transmission is being considered for 5G-and-beyond networks. The technology is called Cell-free Massive MIMO and can provide a more…

信息论 · 计算机科学 2020-06-30 Trinh Van Chien , Emil Björnson , Erik G. Larsson

For a multiple antenna system, we compute the asymptotic distribution of antenna selection gain when the transmitter selects the transmit antenna with the strongest channel. We use this to asymptotically estimate the underlying channel…

信息论 · 计算机科学 2016-11-17 Dongwoon Bai , Patrick Mitran , Saeed S. Ghassemzadeh , Robert R. Miller , Vahid Tarokh