Analysis of Area Spectral &amp; Energy Efficiency in a CoMP-Enabled User-Centric Cloud RAN

Kasi, Shahrukh Khan; Hashmi, Umair Sajid; Nabeel, Muhammad; Ekin, Sabit; Imran, Ali

doi:10.1109/tgcn.2021.3093390

Cited by 10 publications

(1 citation statement)

References 36 publications

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“…At the same time, based on the bounded dual-slope path loss model, reference [18] analyzes the improvement in user coverage obtained by multi-point cooperative joint transmission after the user only selects the two nearest base stations as cooperative base stations after the omni-directional single-antenna base station is randomly deployed. Reference [19] divides a regular hexagonal grid on the plane of randomly deployed base stations. The base stations in a grid form a cooperative cluster, and stochastic geometry and large deviation theory are used to analyze the communication outage rate of mobile users.…”

Section: Introductionmentioning

confidence: 99%

CSI-Impaired Beamforming Optimization for Dense MIMO Communication Networks

Ren

Tang

2022

Electronics

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This paper studied the robust beamforming for dense transmission systems with imperfect channel state information (CSI). The objective was to maximize the minimum signal to interference plus noise ratio (SINR) in the constraint of the per base station (BS) power. By performing the uplink–downlink duality theory, the referred non-convex optimization problem can be changed into the equivalent uplink decoupling optimization problem. Then, we proposed the instantaneous updating uplink–downlink power algorithm, which relies on instantaneous CSI for the finite system. For the massive MIMO system, to obtain the solution to the problem required for power to instantaneously update, we proposed the updating uplink–downlink power algorithm, which only requires statistical CSI, by applying the random matrix theory. The simulation results show the feasibility and effectiveness of our proposed algorithms.

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Section: Introductionmentioning

confidence: 99%

CSI-Impaired Beamforming Optimization for Dense MIMO Communication Networks

Ren

Tang

2022

Electronics

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Joint User-Centric Clustering and Multi-cell Radio Resource Management in Coordinated Multipoint Joint Transmission

Shami

Grace

Burr

et al. 2022

Wireless Pers Commun

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Coordinated multipoint joint transmission (JT-CoMP) is a promising solution to address inter-cell interference in dense future wireless networks due its strength in converting interfering signals into useful signals, thereby enhancing capacity especially at the cell edge. However, allowing all user equipments (UEs) to operate using the JT-CoMP mode reduces the availability of radio resources. This paper develops an efficient algorithm that can identify which UEs will benefit from operating in a JT-CoMP mode and how to efficiently allocate radio resources from multiple base stations. Joint user-centric JT-CoMP clustering and multi-cell resource management is used in two steps where user-centric clusters are constructed as a first step and according to the clustering results obtained, resources are assigned. This paper also provides a new user-centric clustering approach that allows a user to utilize the JT-CoMP technique only if JT-CoMP boosts its rate above a certain threshold level. A multi-cell resource allocation scheme that can address the resource mismatching problem between cooperative BSs that happens due to load imbalance is proposed. Simulation results show that the proposed user-centric clustering algorithm outperforms the traditional power level difference scheme in terms of the system’s overall throughput as well as the throughput of cell-edge users. Also, results show that the performance of JT-CoMP is mainly affected by the user-centric approach and the amount of physical radio resources assigned to CoMP UEs.

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