On the value of MIMO rank coordination for interference cancellation-based 5G flexible TDD systems

Lukowa, Anna; Venkatasubramanian, Venkatkumar

doi:10.1109/cscn.2016.7785175

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…To achieve consistency in coordinated scheduling, Lukowa et al [89], [90] proposed a cluster-based scheduling scheme where the mutual collection of uplink/downlink and the cooperative scheduling of users within a cluster is carried out. MIMO rank and rate changes were made across clusters using inter-cluster rates, whereas the coordinated uplink/downlink synchronization is scheduled within clusters utilizing interference-consciously efficient TDD switching.…”

Section: Figure 8 Femtocell and Macrocell Deploy Can Causes Severe Interferencementioning

confidence: 99%

5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches

et al. 2021

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The Internet of Everything is currently in demand and has burdened the network tremendously. Accommodating this exponential increase in demand will require improved Radio Resource Management technology. This problem can be curbed with higher spectrum bands, reevaluation of Time Division Duplex, deployment of Software Defined Network, and Network Function Virtualization into 5G New Radio (NR) network. Therefore, this work aims to provide an in-depth survey on the recent resource management schemes that can be proposed for 5G NR enhancement by exploiting both rulebased algorithms and machine learning methods. Radio resource management consists of managing user allocation, the antenna transmission power, bandwidth, and modulation scheme. Therefore, in this paper, three categories of radio resource management technologies are introduced: resource allocation, energy efficiency, and interference management. The discussion revolves around their potentials and contributions as well as challenges faced to produce efficient 5G resource management schemes.

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Section: Figure 8 Femtocell and Macrocell Deploy Can Causes Severe Interferencementioning

confidence: 99%