Enhanced Interference Coordination and Radio Resource Management for 5G Advanced Ultra-dense RAN

Adachi, Fumiyuki; Takahashi, Ryo; Matsuo, Hidenori

doi:10.1109/vtc2020-spring48590.2020.9128516

Cited by 19 publications

(7 citation statements)

References 20 publications

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“…In reference [10], the author proposed a distributed clustering algorithm, FCRA, and resolved the resource contention problem and interference issue after forming disjoint clusters. In comparison, the concept of enhanced interference coordination was proposed in [11] for radio resource management (RRM) in UDNs. The authors used the distributed MIMO technique to integrate the classification of user equipment.…”

Section: Prior Workmentioning

confidence: 99%

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

Farhan

Rizvi

2022

Sensors

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In the current smart era of 5G, cellular devices and mobile data have increased exponentially. The conventional network deployment and protocols do not fulfill the ever-increasing demand for mobile data traffic. Therefore, ultra-dense networks have widely been suggested in the recent literature. However, deploying an ultra-dense network (UDN) under macro cells leads to severe interference management challenges. Although various centralized and distributed clustering methods have been used in most research work, the issue of increased interference persists. This paper proposes a joint small cell power control algorithm (SPC) and interference-managed hybrid clustering (IMHC) scheme, to resolve the issue of co-tier and cross-tier interference in the small cell base station cluster tiers. The small cell base stations (SBSs) are categorized based on their respective transmitting power, as high-power SBSs (HSBSs) and low-power SBSs (LSBSs). The simulation results show that by implementing the IMHC algorithm for SBSs in a three-tier heterogeneous network, the system throughput is improved with reduced interference.

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Section: Prior Workmentioning

confidence: 99%

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

Farhan

Rizvi

2022

Sensors

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“…To achieve higher system throughput and mitigate cochannel interference (CCI), especially for cell-edge users, cooperative DAT (CDAT) with multi-user spatial multiplexing has been proposed [3][4][5][6][7]. The combination of CDAT, user equipment (UE) classification, UE clustering, and clusterantenna association has been investigated as an evolved CDAT in [4]. Fractional frequency reuse (FFR) has been adopted in [4] to mitigate the inter-cell interference of cell edge UEs.…”

Section: Introductionmentioning

confidence: 99%

“…The combination of CDAT, user equipment (UE) classification, UE clustering, and clusterantenna association has been investigated as an evolved CDAT in [4]. Fractional frequency reuse (FFR) has been adopted in [4] to mitigate the inter-cell interference of cell edge UEs. In [5], Max C/I scheduling, proportional fair (PF) scheduling, and round-robin (RR) scheduling in CDAT are compared.…”

Section: Introductionmentioning

confidence: 99%

UE Set Selection for RR Scheduling in Distributed Antenna Transmission with Reinforcement Learning

Otsuru

Sanada

2023

IEICE Trans. Commun.

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In this paper, user set selection in the allocation sequences of round-robin (RR) scheduling for distributed antenna transmission with block diagonalization (BD) pre-coding is proposed. In prior research, the initial phase selection of user equipment allocation sequences in RR scheduling has been investigated. The performance of the proposed RR scheduling is inferior to that of proportional fair (PF) scheduling under severe intra-cell interference. In this paper, the multi-input multi-output technology with BD pre-coding is applied. Furthermore, the user equipment (UE) sets in the allocation sequences are eliminated with reinforcement learning. After the modification of a RR allocation sequence, no estimated throughput calculation for UE set selection is required. Numerical results obtained through computer simulation show that the maximum selection, one of the criteria for initial phase selection, outperforms the weighted PF scheduling in a restricted realm in terms of the computational complexity, fairness, and throughput.

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“…ZF is the most generally used precoding method in the cellular networks 14 . In addition, it covers the coordinate scheduling as a preprocessing technique and generates the desired data for the heterogeneous system 15 . Generally, cell‐edge problems and CCI become the impediments to the cellular network.…”

Section: Introductionmentioning

confidence: 99%

“…14 In addition, it covers the coordinate scheduling as a preprocessing technique and generates the desired data for the heterogeneous system. 15 Generally, cell-edge problems and CCI become the impediments to the cellular network. Intercell and intracell interference that are managed by the transmitting signals from two adjacent base stations with the same frequency strength with multiple users are briefly discussed in previous research.…”

Section: Introductionmentioning

confidence: 99%

Selective interference alignment and neutralization in coordinated multipoint using multiuser MIMO

Baskar,

Selvaprabhu

2023

Int J Communication

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Summary In wireless communication, the concept of coordinated multipoint (CoMP) transmission is more attractive, and it transpired the notion based on interference management techniques. Interference alignment (IA) and interference neutralization (IN) methods can substantially align and neutralize the interference signals. The existing work in the CoMP transmission using multiuser multi‐input and multi‐output (MU‐MIMO) had long‐held problems such as specific limit of intercell (ICI) and cochannel interference (CCI) cancelation that contain low performance in cell‐edge users. The proposed framework of the transmission signal in selective interference alignment and neutralization (SIAN) CoMP MU‐MIMO system transmits multiple data streams in multipath by using downlink coordination between base stations and receiver side. This work contributes the individual perspectives to implement the IA and IN to align and cancel the interfered signals at the receiver side. Once the perspectives mentioned above are executed, zero‐forcing (ZF) and rechanneling filter are applied on the receiver side to eliminate residual ICI. In addition, spectral efficiency significantly improves the achievable data rate and enhances the performance of cell‐edge users and reduces the CCI at the receiver side. Furthermore, the antenna configuration signals are decoded to get the exact version of interference‐free signals with null path loss of signal transmission. The effectiveness of the proposed framework analyzes and verifies the numerical evaluation of the achievable degree of freedom. Finally, the simulation demonstrates the comparison of the proposed CoMP scheme with MIMO ZF and non‐CoMP schemes, which significantly improve the performance of spectral efficiency for cell‐edge users.

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Enhanced Interference Coordination and Radio Resource Management for 5G Advanced Ultra-dense RAN

Cited by 19 publications

References 20 publications

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

UE Set Selection for RR Scheduling in Distributed Antenna Transmission with Reinforcement Learning

Selective interference alignment and neutralization in coordinated multipoint using multiuser MIMO

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