Making smart use of excess antennas: Massive MIMO, small cells, and TDD

Hoydis, Jakob; Hosseini, Kianoush; Brink, Stephan ten; Debbah, Mérouane

doi:10.1002/bltj.21602

Cited by 180 publications

(131 citation statements)

References 61 publications

(73 reference statements)

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“…More importantly, a combination of two technologies, which have attracted considerable research interest [21,48], will bring enormous benefits by the resonance of the advantages of two systems. In a such scenario, the massive MIMO MBS located at the network center serves macrocell-users (MUEs) while the SBSs serve smallcell-users (SUEs) which are located in the MBS coverage.…”

Section: Energy Efficiency In Small Cell and Massive Mimomentioning

confidence: 99%

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Nguyen¹

2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

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Resource allocation is one important mission in wireless communication systems. In 5G wireless networks, it is essential that the new systems be more dynamic and wiser to simultaneously satisfy various network demands, by using new wireless technologies and approaches. To this end, resource allocation is faced with many significant challenges such as interference alignment, security attacks, or green communication. On the other hand, as one serious problem in 5G networks, the issue of energy is affected directly by the allocated resources in the system, i.e., bandwidth allocation, power control, association allocation, and deployment strategies. Consequently, together with the enhancement of spectral efficiency performance, an emerging trend of 5G wireless networks is to approach green communication via energy efficiency (EE) (bits/Hz/Joule), whose most significant challenge is due to its belonging to the fractional programming in the optimization field, i.e., nonconvex programming. This leaves many difficult tasks for improving network EE performance. In this paper, we will tackle the critical EE in 5G wireless networks.

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Section: Energy Efficiency In Small Cell and Massive Mimomentioning

confidence: 99%

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Nguyen¹

2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

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“…Hoydis et al, proposed a system model for Massive MIMO system to calculate channel estimation, pilot contamination, path loss and antenna correlation, also proposed an architecture and precoding scheme that will be deployed using macro base stations (BSs) with very large antenna arrays [28]. F. Rusek et al, discussed and eliminated the pilot contamination problem using very large MIMO system.…”

Section: Literature Reviewmentioning

confidence: 99%

Research Challenges and Opportunities in 5G Network

Mishra¹,

Singh

2017

IJFGCN

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“…After a guard interval, during which the tier-2 nodes decode the control information in the tier-1 BS control channel and acquire the allocation of the tier-1 users on the tier-1 DL/UL subframes, all the tier-2 cells are active and transmit using TDD, both in the UL and in the DL (depending on the scenario). We specifically investigate two schemes: reverse-TDD (R-TDD), as proposed originally in [4], where the tier-1 DL is aligned with the tier-2 UL (and vice-versa), and cochannel-TDD (co-TDD), as examined in [6], where tier-1 UL is aligned with the tier-2 UL (and vice-versa). It is worthwhile to point out that all the tier-2 nodes can decode the tier-1 BS control signal and use it as common information for coordination.…”

Section: System Modelmentioning

confidence: 99%

“…As a result, the tier-2 throughput can be increased without significantly sacrificing the tier-1 throughput, as opposed to eICIC, which can only operate on the convex combination region of the individual throughput capacities of the tier-1 and tier-2 systems. A similar scenario has been considered in [6], but under different beamforming and power control strategies. The work reflects the effectiveness of "spatial blanking", but with higher complexity algorithms since the channel directionality properties are not taken into account, which can lead to efficient JSDM decomposition and dimensionality reduction.…”

Section: Introductionmentioning

confidence: 99%

Massive MIMO and inter-tier interference coordination

Adhikary

Safadi

Caire

2014

2014 Information Theory and Applications Workshop (ITA)

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Abstract-We study the performance of a two-tier system where a large number of small cells is deployed under a macrocellular "umbrella". The macro-cellular tier provides coverage and handles mobile users, while the small cell tier provides high rate locally to nomadic users. While the standard approach consists of operating the two tiers in different frequency bands, for various reasons (e.g., lack of licensed spectrum), it may be useful to operate both tiers in the whole available spectrum. Hence, we consider schemes for inter-tier interference coordination that do not assume any explicit data or channel state information sharing between tiers. In particular, we consider co-channel TDD and reverse TDD schemes, when the macro (tier-1) base station has a very large number of antennas and the tier-2 base stations have a moderately large number of antennas. We show that by exploiting the spatial directionality of the channel vectors, very efficient inter-tier interference management can be obtained with relatively low complexity. Our approach consists of a sort of "spatial blanking" of certain angle-of-departure of the tier-1 base station at given scheduled time-frequency slots, in order to create transmission opportunities for the corresponding tier-2 small cells. In particular, such "spatial blanking" is significantly more efficient than isotropic slot blanking (enhanced Inter-Cell Interference Coordination, eICIC) currently proposed in LTE standardization.

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Making smart use of excess antennas: Massive MIMO, small cells, and TDD

Abstract: In this paper, we present a vision beyond the conventional Long Term Evolution Fourth Generation

Cited by 180 publications

References 61 publications

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Research Challenges and Opportunities in 5G Network

Massive MIMO and inter-tier interference coordination

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