A comprehensive survey: Small cell meets massive MIMO

Rajoria, Shweta; Trivedi, Aditya; Godfrey, W. Wilfred

doi:10.1016/j.phycom.2017.11.004

Cited by 43 publications

(24 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the works in the literature follows this model. For example, In [1], the merging massive MIMO with small cell is examined. Explanation about the architecture, performance measures, techniques and fusion of technologies, massive MIMO, small cell and summary about these technologies are reviewed.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Power by Combining Small Cells with a Massive MIMO for Maximum Energy Efficiency Under Two Path Loss Models

Sanguankotchakorn

Kumar

2019

2019 International Conference on Information Networking (ICOIN)

View full text Add to dashboard Cite

Currently, we are proceeding towards the 5 th generation of wireless networks. The 5G is expected to utilize very wide bandwidth and would have the greater capacity compared to 4G. Therefore, the energy efficiency is one of the prominent roles in the design criterion. To achieve the maximum energy efficiency, the typical approaches are to increase the throughput or to decrease the power consumption. Recently, the approach to combine the small cell access points to Massive MIMO has been proved as one efficient way to achieve the maximum energy efficiency. In this work, the approach to combine two type of network, namely Small Cell Access Point (SCA) and Base Station (BS) with Massive MIMO, is considered for designing an energy efficient system. We investigate further this approach by extending the simulation to cover both 3GPP LTE as well as IMT 2020 environment with two different carrier frequencies under three scenarios. The performance is measured and compared with the existing work in terms of total power consumption per subcarrier of both the Base Station (BS) and Small Cell Access Points (SCAs). It is apparent that our proposed method provides the higher information rate at the same total power per sub carrier than the existing work. Additionally, general speaking, the 3GPP path loss model provides the lower total power consumption per sub carrier at BS than IMT-2020, while both path loss models almost has no impact on total power consumption at SCAs, regardless of carrier frequency and the number of antennas adopted in Massive MIMO at BS.

show abstract

Section: Related Workmentioning

confidence: 99%

Optimizing Power by Combining Small Cells with a Massive MIMO for Maximum Energy Efficiency Under Two Path Loss Models

Sanguankotchakorn

Kumar

2019

2019 International Conference on Information Networking (ICOIN)

View full text Add to dashboard Cite

show abstract

“…In millimeter wave (mm-Wave) bands have high path loss at their operating frequencies which are essential for the high gain and sufficient to signal-to-noise ratio (SNR) at a very low distance [14]. In the low range wavelengths, of the mm-wave frequencies where the large antennas array is packed with small form factor [8], the higher gain array can be a conflict to increase the path loss and crucial to provide the suitable link budget [15]. Therefore, massive MIMO is a preferred technology to overcome these problems according to their desirable achievements.…”

Section: Related Workmentioning

confidence: 99%

Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming

Ali¹,

Qureshi²,

Memon³

et al. 2018

ijacsa

View full text Add to dashboard Cite

The massive multiple-input-multiple-output (MIMO) is a key enabling technology for the 5G cellular communication systems. In massive MIMO (M-MIMO) systems few hundred numbers of antennas are deployed at each base station (BS) to serve a relatively small number of single-antenna terminals with multiuser, providing higher data rate and lower latency. In this paper, an M-MIMO communication system with a large number of BS antennas with zero-forcing beamforming is proposed for the improved spectral efficiency performance of the system. The zero forcing beamforming technique is used to overcome the interference that limits the spectral efficiency of M-MIMO communication systems. The simulation results authenticate the improvement in the spectral efficiency of M-MIMO system. The spectral efficiency value using zero-forcing beamforming is near to the spectral efficiency value with the nointerference scenario.

show abstract

“…The small cells will operate side by side with the macro base stations at the same operation bands and time to exploit all the network resources. Low mobility users can be served by the small cells, leaving the macro cells to serve high mobility users [9,10]. The two technologies can work together using two manners.…”

Section: Introductionmentioning

confidence: 99%

Small Cell Network Densification using a New Space-Time Block Code (STBC)

Khaled

Hassaneen

Elagooz

et al. 2019

Port-Said Engineering Research Journal

View full text Add to dashboard Cite

With the exponential increase in cellphone internet traffic consumed by new generations of wireless devices, cellular networks face a critical challenge to meet this vast demand of network capacity. As well, the demand for higher data rates and the ever-increasing number of wireless devices led to rapid increase in power consumption and cost of operation of cellular networks. One potential solution to address these issues is to overlay small cell access points with macro cell base stations (BS) as a mean to provide higher network capacity and better network coverage. The major problem, which met the small cells densification, is the strong interference power from the adjacent macro cells. Hence, this paper proposes a new space-time block code, which can be used by outdoor small cell BSs. The small cells are equipped with two antennas and transmit three symbols via three time slots. The new code can cancel the overall interference that affects the small cell data transmission. The proposed code will increase the data rate of the overall network without sharing overhead data between the macro cells and the small cells, permitting the network backhaul to be free for data transmission only.

show abstract

A comprehensive survey: Small cell meets massive MIMO

Cited by 43 publications

References 69 publications

Optimizing Power by Combining Small Cells with a Massive MIMO for Maximum Energy Efficiency Under Two Path Loss Models

Optimizing Power by Combining Small Cells with a Massive MIMO for Maximum Energy Efficiency Under Two Path Loss Models

Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming

Small Cell Network Densification using a New Space-Time Block Code (STBC)

Contact Info

Product

Resources

About