Least Pair-Wise Collision Beam Schedule for mmWave Inter-Cell Interference Suppression

Sha, Ziyuan; Hanzo, Lajos

doi:10.1109/twc.2019.2924891

Cited by 11 publications

(5 citation statements)

References 23 publications

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“…When accurate channel state information (CSI) is not shared between cells, optimizing beam scheduling proves to be an efficient method for reducing intercell interference. Sha et al [23] minimize the number of inter-cell beam collisions for two cells by optimizing the scheduling order of beams. Additionally, they utilize graph theory to optimize beam scheduling and avoid interference in multiple cells [24].…”

Section: Prior Workmentioning

confidence: 99%

“…Compared to the existing literature, this article explores the utilization of RIS on UAVs to enhance cellular-connected UAV communication in scenarios involving multiple UAV clusters, while taking into account periodic transmission constraints. Existing Works Cellular-Connected UAV UAV-Mounted RIS Interference Avoidance Scheduling Optimization Periodic Scheduling [9] [ [13][14][15] [ [16][17][18] [19] [20,21] [ [22][23][24] This Paper…”

Section: Prior Workmentioning

confidence: 99%

“…Interference among multiple UAV clusters can be intricate due to the dynamic positions of the UAVs. Building upon the concept of collision beams introduced in previous work [23], we propose the UAV interference matrix (UIM) to quantify the interference between UAVs belonging to different clusters. We assume there are N c UAV clusters, each comprising M UAVs to be scheduled within a single scheduling frame.…”

Section: System Models and Problem Formulationsmentioning

confidence: 99%

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Interference Avoidance through Periodic UAV Scheduling in RIS-Aided UAV Cluster Communications

Zhou,

Liu,

Lan

et al. 2023

Electronics

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This article investigates the transmission of downlink control signals for multiple unmanned aerial vehicle (UAV) clusters in collaborative search and rescue operations in mountainous environments. In this scenario, a reconfigurable intelligent surface (RIS) mounted on the UAV is utilized to overcome obstacles between the ground base station (BS) and UAVs. By leveraging the fixed channel of the RIS to the BS, the line-of-sight (LoS) path characteristics of the air-to-air channel, and the position information of the UAV, the RIS forms a directional beam by adjusting the RIS coefficient, which points towards UAVs in the cluster. To ensure low delay in control signaling and UAV state transmission, we adopt semi-persistent scheduling (SPS), which allocates pre-specified periodic intervals to each UAV for the formation of corresponding RIS coefficients. The allocation of time slots is constrained by the transmission intervals required by different UAVs and the number of RISs available. We propose a time slot scheduling scheme for UAVs to reduce inter-cluster interference caused by RIS beams. The time slot allocation problem is formulated as a combinatorial optimization problem. To solve this problem, we first propose an intuitive greedy scheme called local interference minimization (LIM). Building upon the LIM scheme, we propose a rollout-based algorithm called rollout interference minimization (RIM). Through simulation, we compare the LIM and RIM schemes with the benchmark scheduling scheme. The results demonstrate that our proposed scheme significantly reduces interference between UAV clusters while satisfying the conditions of periodic transmission and RIS quantity constraints.

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Section: Prior Workmentioning

confidence: 99%

Section: Prior Workmentioning

confidence: 99%

Section: System Models and Problem Formulationsmentioning

confidence: 99%

See 1 more Smart Citation

Interference Avoidance through Periodic UAV Scheduling in RIS-Aided UAV Cluster Communications

Zhou,

Liu,

Lan

et al. 2023

Electronics

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“…An interference-free scheduling scheme under max-min rate criterion is studied in [14]. In our previous researches, we minimize the number of beam collisions caused by inter-cell interference in a two-cell multi-RF-chain scenario [15] and a multi-cell single-RF-chain scenario [16], respectively. In [25], the proportional fair joint user association and time allocation problem is solved under interference-free assumption.…”

Section: A Related Workmentioning

confidence: 99%

“…Nevertheless, the NIF user scheduling in a general multi-cell mmWave network with multi-RF-chain BSs has not been studied in the literature. The existing studies [12], [14], [16] related to NIF scheduling only consider single-RF-chain BS where the intra-cell interference does not exist, while [15] investigates a relatively simple two-cell scenario with multi-RF-chain BSs, but the intra-cell interference remains untreated. However, it is common for mmWave BS to equip with multiple RF chains enabling spatial division multiple access (SDMA) of users, leading to more flexible user scheduling and non-negligible intra-cell interference as well.…”

Section: A Related Workmentioning

confidence: 99%

Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network

Sha¹,

Chen²,

Hanzo³

2021

Preprint

Self Cite

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The highly directional beams applied in millimeter wave (mmWave) cellular networks make it possible to achieve near interference-free (NIF) transmission under judiciously designed space-time user scheduling, where the power of intra-/inter-cell interference between any two users is below a predefined threshold. In this paper, we investigate two aspects of the NIF space-time user scheduling in a multi-cell mmWave network with multi-RF-chain base stations. Firstly, given that each user has a requirement on the number of space-time resource elements, we study the NIF user scheduling problem to minimize the unfulfilled user requirements, so that the space-time resources can be utilized most efficiently and meanwhile all strong interferences are avoided. A near-optimal scheduling algorithm is proposed with performance close to the lower bound of unfulfilled requirements. Furthermore, we study the joint NIF user scheduling and power allocation problem to minimize the power consumption under the constraint of rate requirements. Based on our proposed NIF scheduling, an energy-efficient joint scheduling and power allocation scheme is designed with limited channel state information, which outperforms the existing independent set based schemes, and has near-optimal performance as well.

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