Energy Efficient Antenna Selection Scheme for Downlink Massive MIMO Systems

Li, Hao; Guo, Jie; Wang, Yongshi; Li, Li; Wang, Zhigang; Wang, Houjun; Gao, Jian

doi:10.1109/iscas.2018.8351286

Cited by 10 publications

(11 citation statements)

References 9 publications

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“…In [4], a TPC scheme which optimizes both the SE and EE was developed. Furthermore, the ways to allocate power to both the data and pilots in order to maximize the SE was studied in [5] and an optimum number of base station (BS) antennas which can improve the downlink EE was studied in [6]. However, these works were focused on co-located massive MIMO system, where there is only one AP per cell.…”

Section: B Related Workmentioning

confidence: 99%

“…2). 6 The TX, which sends out a known waveform, acts as a virtual array with a single omnidirectional antenna being moved by the drone along a trajectory of different possible AP locations, while the RX remains stationary at one location. The RX, which records the received waveforms for later postprocessing, is connected via an RF switch to eight physically separated omnidirectional antennas, 7 and thus records the channels for 8 UEs during each measurement run.…”

Section: A Channel Soundermentioning

confidence: 99%

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Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel

Choi,

Ito,

Kanno

et al. 2021

Preprint

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Cell-free massive MIMO (CF-mMIMO) provides wireless connectivity for a large number of user equipments (UEs) using access points (APs) distributed across a wide area with high spectral efficiency (SE). The energy efficiency (EE) of the uplink is determined by (i) the transmit power control (TPC) algorithms, (ii) the numbers, configurations, and locations of the APs and the UEs, and (iii) the propagation channels between the APs and the UEs. This paper investigates all three aspects, based on extensive (∼30,000 possible AP locations and 128 possible UE locations) channel measurement data at 3.5 GHz. We compare three different TPC algorithms, namely maximization of transmit power (max-power), maximization of minimum SE (max-min SE), and maximization of minimum EE (max-min EE) while guaranteeing a target SE. We also compare various antenna arrangements including fully-distributed and semi-distributed systems, where APs can be located on a regular grid or randomly, and the UEs can be placed in clusters or far apart. Overall, we show that the max-min EE TPC is highly effective in improving the uplink EE, especially when no UE within a set of served UEs is in a bad channel condition and when the BS antennas are fully-distributed.

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Section: B Related Workmentioning

confidence: 99%

Section: A Channel Soundermentioning

confidence: 99%

Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel

Choi,

Ito,

Kanno

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…The BS performs jointly the antenna selection and power allocation. The signal received at the k th user is given by [1][2][3][4][5][6][7]…”

Section: System Modelmentioning

confidence: 99%

“…In [1], an antenna selection technique has been reviewed with considering different criterion such that channel capac-ity and bit error rate seeking both cost and hardware complexity reduction and It has proven that the performance is improved with the increase of number of receive antennas. The main target is to improve the spectral and transmit-energy efficiency [1][2][3][4][5][6][7] and it is obtained by increasing the number of antennas and RF chains. However, system complexity and hardware energy consumption is increased with the reduced number of RF chains in the antenna selection process.…”

Section: Introductionmentioning

confidence: 99%

Antenna Selection and Power Allocation in Massive MIMO

Selvam¹,

Vishvaksenan²

2019

RADIOENGINEERING

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This paper explores the massive multiple-input multiple-output (Ma-MIMO) communication system possessing large number of antennas at the basestation (BS) serving multiple user terminal (UT) in single cell configuration. Due the large number of antennas at the BS, the RF chains used is also increasing with the increase in the total power consumption of the system such as circuit power consumption, filter, mixer and digital to analog converter power consumption. The main aim of this paper is to reduce the transmit power consumption with the proposed antenna selection and power allocation approach. Initially, the equal power is allocated to users to find the optimal number of antenna selection. Then for the number of antennas selected the optimal power allocation is derived to users. An algorithm is proposed to iteratively find the antenna selection and power allocation. The simulation is done to evaluate the average data rate and to find the optimal transmit power of the system.

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“…Energy-Efficiency for massive MIMO has been tackled by various publications [3] - [9]. These papers already use an enhanced power consumption model that considers not only the impact of power amplifiers, but also the contributions of the rest of the transmit path, e.g.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Massive MIMO Array Configurations

Halbauer

Weber

Wiegner

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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The high spectral efficiency of massive MIMO (Multiple Input Multiple Output) is mainly achieved through the exploitation of spatial multiplexing, i.e. by using a high number of MIMO layers that are applied simultaneously to many users. The power consumption of a massive MIMO base station is determined by the hardware driving a high number of antenna ports and elements. This paper focuses on practical deployment situations with varying user load. During hours with low number of users a certain significant part of hardware power consumption would remain with conventional massive MIMO processing, while the full potential of spectral efficiency cannot be exploited due to the low number of users, resulting in low power efficiency and cost. We investigate the impact of different hybrid array architectures on spectral efficiency, average user throughput and power consumption and show how to design a massive MIMO system with significantly improved energy efficiency for a given target scenario, while maintaining a targeted service quality.

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Energy Efficient Antenna Selection Scheme for Downlink Massive MIMO Systems

Cited by 10 publications

References 9 publications

Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel

Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel

Antenna Selection and Power Allocation in Massive MIMO

Energy Efficient Massive MIMO Array Configurations

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