Techniques for Interference Mitigation Using Cooperative Resource Partitioning in Multitier LTE HetNets

Singh, Rajkarn; Murthy, C. Siva Ram

doi:10.1109/jsyst.2016.2527504

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…The authors of [5] propose a fixed ABS method with three ABS patterns: random, overlapping or merged. Although the ABS ratio remains fixed, small cells experience different interference profile according to the selected ABS pattern.…”

Section: L R M Cmentioning

confidence: 99%

“…On the other hand, we want to understand the influence of the window size into the amount of Buy and Sell signals inside a trading operation interval (40 subframes). Thus, we plot the macro cell mean capacity considering the percentile p ∈ [0.01, 0.05] and n ∈ [5,30] in Fig. 3.…”

Section: A : Mac Absmentioning

confidence: 99%

“…Therein, the higher the ε threshold, the lower the macro cell mean capacity, attesting the occurrence of more ABS subframes. When it comes to window size, the macro cell capacity is high for the region n ∈ [5,15] (lack of false signals, and a good balance between Bearish and Bullish crossovers), whereas there is a macro cell capacity loss in the region n ∈ [15,30] due to the lag time, and the low occurrence of Bullish crossovers. We attest those reasons in Table II, showing the percentage of bearish and bullish crossovers regarding the tested window sizes.…”

Section: A : Mac Absmentioning

confidence: 99%

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Dynamic e-ICIC using Moving Average Crossover

Melo

Sousa²,

Maciel³

2019

JCIS

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Heterogeneous Networks (HetNets) are considered a technology option capable of improving system capacity and spatial spectrum reuse. However, high spectrum reuse causes high inter-cell interference among macro and small cells. Almost Blank Subframe (ABS) is a method of the Enhanced Inter-Cell Interference Coordination (e-ICIC) framework proposed for LTE systems as a means to mitigate interference among macro and small cells, which mutes some of macro cell transmissions in selected subframes to reduce interference to small cells, orthogonalizing macro and small cell transmissions in time-domain. In this work, we use Moving Average Crossover (MAC) based on trading know-how to propose a new dynamic ABS e-ICIC algorithm. Using system-level simulations, we attest that the proposed algorithm outperforms the best fixed e-ICIC by 6.4% in terms of capacity.

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Section: L R M Cmentioning

confidence: 99%

Section: A : Mac Absmentioning

confidence: 99%

Section: A : Mac Absmentioning

confidence: 99%

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Dynamic e-ICIC using Moving Average Crossover

Melo

Sousa²,

Maciel³

2019

JCIS

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“…However, the mMSs near the boundary of picocells also suffered ICI from picocells. Thus, the authors in [69] propose to employ ABS in both macrocells and picocells. Assuming that victim MSs can only transmit on ABSs and other MSs can only transmit on non-ABSs, the throughput of a MS can be obtained as a function of the ABS muting ratio of picocells and macrocells, depending on its type, i.e., a normal mMS, victim mMS, or pMS.…”

Section: Eicic Self-optimizationsmentioning

confidence: 99%

Time-domain ICIC and optimized designs for 5G and beyond: a survey

Liu

Zhou

Vasilakos

et al. 2018

Sci. China Inf. Sci.

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Time-domain enhanced inter-cell interference coordination (eICIC) is an effective technique to reduce the cross-tier inter-cell interference (ICI) in long term evolution (LTE)-based heterogeneous small cell networks (HetSCNs). This paper first clarifies two main communication scenarios in HetSCNs, i.e., macrocells deployed with femtocells (macro-femto) and with picocells (macro-pico). Then, the main challenges in HetSCNs, particularly the severe cross-tier ICI in macro-femto caused by femtocells with closed subscribe group (CSG) access or in macro-pico caused by picocells with range expansion are analyzed. Based on the prominent feature of dominant interference in HetSCNs, the main idea of time-domain interference coordination and two basic schemes in the eICIC standardization, i.e., almost blank subframe (ABS) and orthogonal frequency division multiplexing symbol shift are presented, with a systematic introduction to the interactions of these techniques with other network functions. Then, given macro-femto and macro-pico HetSCNs, an overview is provided on the advanced designs of ABS-based eICIC, including self-optimized designs with regard to key parameters such as ABS muting ratio, and joint optimized designs of ABS-based eICIC and other radio resource management techniques, such as user association and power control. Finally, the open issues and future research directions are discussed.

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“…The goal of time allocation between macro cells is to maximize the throughput. When the small cell transmits signal, the macro cell uses ABS (Almost Blank Sub-frame) to reduce the transmission power or doesn't transmit signals, which can reduce or eliminate inter-layer interference [53] [54] [55] [56]. There are two type of time allocation between small cells.…”

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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Techniques for Interference Mitigation Using Cooperative Resource Partitioning in Multitier LTE HetNets

Cited by 9 publications

References 23 publications

Dynamic e-ICIC using Moving Average Crossover

Dynamic e-ICIC using Moving Average Crossover

Time-domain ICIC and optimized designs for 5G and beyond: a survey

Overview on Interference Management Technology for Ultra-Dense Network

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