An interference-aware distributed transmission technique for dense small cell networks

Mahmood, Nurul Huda; Berardinelli, Gilberto; Pedersen, Klaus I.; Mogensen, Preben

doi:10.1109/iccw.2015.7247165

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Small cell with the highest interference degree has the highest priority, and it selects the highest gain frequency from the resources. Shared resources, used to improve QoS, are obtained by the competition of each cell according to the service needs of the cell [60]. This low-complexity resource allocation strategy requires very little computation [61].…”

Section: Resource Allocationmentioning

confidence: 99%

Overview on Interference Management Technology for Ultra-Dense Network

Zhang¹,

Tian²

2018

OALib

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The explosive growth of the mobile traffic demand has triggered the investigation of 5th generation mobile networks (5G) for the future development of wireless communications. The ultra-dense network (UDN) has the ability to effectively improve system throughput and spectrum utilization by deploying a large number of low-power, low-cost, low-power home base stations or micro base stations. The dense distribution of micro base stations poses new challenges in terms of energy loss and interference management. Firstly, the overview of 5G is briefly introduced in this paper. Then, interference management method for UDN is summarized. So far, interference management methods for UDN mainly include interference alignment, clustering, and resource allocation. The principles of the three methods are described in detail. Finally, we conclude that clustering and resource allocation are more suitable for UDN. bile data services. With the increasing demand for broadband mobile data, the next-generation mobile communication system (5G) is in urgent need to meet user needs.Compared with 4G, 5G has a great improvement in terms of transmission rate, user experience rate, terminal-to-terminal delay, number of connected devices, mobility, and standby time in different service scenarios. According to these key technical indicators, in order to respond to the needs of future 5G network service development and maintenance operations, comprehensive consideration must be taken from various aspects such as wireless spectrum, wireless access technologies, and network architecture. The requirements of spectrum resource for future network technologies can be met by the deep development and utilization of high frequency bands and even ultra-high frequency bands. The utilization of wireless spectrum resources can also be improved by a series of advanced wireless transmission technologies. Among them, millimeter wave, massive MIMO and ultra dense networks (UDN) are regarded as the most promising key technologies for improving spectrum utilization, increasing system capacity, and enhancing 5G network performance.

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Section: Resource Allocationmentioning

confidence: 99%

Overview on Interference Management Technology for Ultra-Dense Network

Zhang¹,

Tian²

2018

OALib

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“…At the receiver end, interference suppression receivers such as the interference rejection combining (IRC) receivers can be employed to actively suppress parts of the interference signal. Coordinated transmitter-end interference management techniques, such as transmit precoding [4] can also be applied to dynamically control the number of interfering streams.…”

Section: Introductionmentioning

confidence: 99%

Interference aware inter-cell rank coordination for 5G wide area networks

Mahmood

Pedersen

Mogensen

2017

2017 IEEE International Conference on Communications Workshops (ICC Workshops)

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Multiple receive and transmit antennas can be used to improve the spectral efficiency by transmitting over multiple independent streams. In addition, multiple receive antennas facilitate interference suppression through the use of interference rejection combining receivers. Rank adaptation algorithms are aimed at balancing the trade-off between increasing the spatial gain and improving the interference resilience property. In this paper, we propose an inter-cell rank coordination scheme whereby a serving base station coordinates the preferred maximum interference rank with the dominant interfering BS. The propose scheme is computationally efficient and requires minimum control overhead. Matlab based systemlevel simulation results indicate around 65% gain in terms of the outage throughput with little impact on the peak user throughput.

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Distributed self-optimizing interference management in ultra-dense networks with non-orthogonal multiple access

Liu

et al. 2020

Wireless Netw

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An interference-aware distributed transmission technique for dense small cell networks

Cited by 4 publications

References 12 publications

Overview on Interference Management Technology for Ultra-Dense Network

Overview on Interference Management Technology for Ultra-Dense Network

Interference aware inter-cell rank coordination for 5G wide area networks

Distributed self-optimizing interference management in ultra-dense networks with non-orthogonal multiple access

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