Inter-BS Interference-Aware Transmission Coordination for Millimeter Wave Networks

Kim, Ryangsoo; Kim, Yonggang; Lim, Hyuk

doi:10.1109/lwc.2017.2690666

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…Monte Carlo simulations are conducted to evaluate the performance of our proposed beam scheduling, in terms of the number of beam collisions incurred, cumulative distribution function (CDF) of SINR, and network sum rate. Since there has been no state-of-the-art research on mmWave ICI considering the different time-domain service demands of beams, the performance of the random scheduling with no cell coordination, the muting protocol [23], [24], and the ideal interference-free scheduling is simulated as benchmark counterparts.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Apart from sum rate optimization, the studies [23], [24] investigate muting protocol, where an interfering cell is muted if its beam may cause ICI to an user in neighboring cell. The muting protocol is similar as the ICI coordination (ICIC) mechanism in LTE [13], [25], which mutes a BS causing ICI or lower its transmitting power on specific time or frequency resources.…”

Section: A Related Workmentioning

confidence: 99%

“…Moreover, the user may intentionally use wide or omni-directional beam to simplify beam training and tracking procedure. Therefore, we consider the worst case that the user side uses omni-directional beam pattern [18], [20], [23], where the user is more susceptible to ICI. Besides, since our proposed beam scheduling is a purely network-side operation, which is independent of the beam pattern at user side, so our method is actually feasible for various user beam patterns.…”

Section: Beam Patternmentioning

confidence: 99%

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Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks

Sha

Hanzo

Chen

2020

IEEE Trans. Veh. Technol.

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The application of high directional beam in millimeter wave leads to a new downlink inter-cell interference (ICI) characteristic that the ICI is high only if the beam of a neighboring cell points towards a user in local cell. This characteristic indicates that the ICI can be avoided if the beams in the network are scheduled coordinately. In this paper, we investigate the time-domain beam scheduling problem for downlink ICI avoidance by modeling the entire network as a graph, where the number of time slots occupied by each beam is considered as a constraint to guarantee service quality. The beams in each cell are classified according to the neighboring cells they may interfere with. If two adjacent cells simultaneously use the beam which may interfere with each other, beam collision occurs, leading to strong ICI. Based on graph theory, we propose a least beam collision (LBC) algorithm to minimize the number of beam collisions, and we prove that this LBC algorithm is capable of acquiring the global minimum beam collision solution.Our simulation results verify that the strong ICI between two neighboring cells can be efficiently eliminated, which benefits the transmission reliability and the network's sum rate.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: Beam Patternmentioning

confidence: 99%

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Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks

Sha

Hanzo

Chen

2020

IEEE Trans. Veh. Technol.

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“…However, the identification and transmission of interferer BSs over the air are critical, though the reference signal's advancement and variation in low transmission power can easily avoid the interference problem [217]. In dense mmWave networks, a study has been conducted to avoid inter-BS interference by choosing a downstream transmission coordination scheme and decision made on the schedule of packet delivery based on SINR level [218]. Few authors discussed the inter-BS beam coordination process to increase the network capacity by providing coordination algorithms among the several BSs [219].…”

Section: Bs Identificationmentioning

confidence: 99%

“…Interference avoidance [217], DL coordination scheme [218], pencil beam formation [219], Spectrum pooling coordination [220] Latency, regular packet loss, and real-world implementation effect…”

Section: Bs Identificationmentioning

confidence: 99%

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

et al. 2021

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In the modern technological world, wireless communication has taken a massive leap from the conventional communication system to a new radio communication network. The novel concept of Fifth Generation (5G) cellular networks brings a combination of a diversified set of devices and machines with great improvement in a unique way compared to previous technologies. To broaden the user's experience, 5G technology provides the opportunity to meet the people's potential necessities for efficient communication. Specifically, researchers have designed a network of small cells with unfamiliar technologies that have never been introduced before. The new network design is an amalgamation of various schemes such as Heterogeneous Network (HetNet), Device-to-Device (D2D) communication, Internet of Things (IoT), Relay Node (RN), Beamforming, Massive Multiple Input Multiple Output (M-MIMO), millimeter-wave (mm-wave), and so on. Also, enhancement in predecessor's techniques is required so that new radio is compatible with a traditional network. However, the disparate technological models' design and concurrent practice have created an unacceptable intervention in each other's signals. These vulnerable interferences have significantly degraded the overall network performance. This review article scrutinizes the issues of interferences observed and studied in different structures and techniques of the 5G and beyond network. The study focuses on the various interference effect in HetNet, RN, D2D, and IoT. Furthermore, as an in-depth literature review, we discuss various types of interferences related to each method by studying the state-of-the-art relevant research in the literature. To provide new insight into interference issue management for the next-generation network, we address and explore various relevant topics in each section that help make the system more robust. Overall, this review article's goal is to guide all the stakeholders, including students, operators, engineers, and researchers, aiming to explore this promising research theme, comprehend interferences and their types, and related techniques to mitigate them. We also state methodologies proposed by the 3 rd Generation Partnership Project (3GPP) and present the promising and feasible research directions toward this challenging topic for the realization of 5G and beyond network.

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Interference management in 5G and beyond networks: A comprehensive survey

Trabelsi,

Chaari Fourati,

Chen

2024

Computer Networks

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Inter-BS Interference-Aware Transmission Coordination for Millimeter Wave Networks

Cited by 9 publications

References 6 publications

Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks

Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

Interference management in 5G and beyond networks: A comprehensive survey

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