An Interference Management Strategy for Dynamic TDD in Ultra-dense Networks

Seng, Shuming; Li, Xi; Ji, Hong; Zhang, Heli

doi:10.1007/978-3-319-78078-8_15

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the work in Seng et al [87], the problems of Hierarchical TDD interference in UDNs is solved by implementing a clustering approach based on the Chameleon algorithms. With this clustering technique, the performance parameters of each cluster are the same.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…9 So time division duplex (TDD) systems play an important role in 5G networks due to its capability to support asymmetric services by adjusting the fraction of time dedicated to UL and DL transmissions as well as reduce signaling and radio frequency front-end complexity by exploiting channel reciprocity. 10,11 In addition, D2D communication and TDD system have the same characteristics that each transmitter-receiver pair has the freedom to schedule its time and frequency resources, which not only can minimize the interference between simultaneously transmitting radio entities but also support diverse services.…”

Section: Introductionmentioning

confidence: 99%

Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks

Pan

Feng

et al. 2018

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

The explosive demands for mobile broadband service bring a major challenge to 5G wireless networks. Device-to-device communication, adopting side links for user-direct communication, is regarded as a main technical source for offloading large volume of mobile traffic from cellular base station. This article investigates the joint power and subcarrier allocation scheme for device-to-device communication in 5G time division duplex systems. In time division duplex system, instead of utilizing an exclusive portion of the precious cellular spectrum, device-to-device pairs reuse the subcarriers occupied by cellular users, thus producing harmful interference to cellular users in both uplink and downlink communication, and strongly limiting the spectrum efficiency of the system. To this end, we focus on the maximization of device-to-device throughput while guaranteeing both uplink and downlink channel quality of service of cellular users as well as device-to-device pairs. The problem is formulated as a mixed integer non-linear programming (MINLP) problem. To make it tractable, we separate the original MINLP problem into two sub problems: power allocation and sub-carrier reusing. The former is to develop optimal power allocation for each device-to-device pair and each cellular user, with the constraints of maximum power and quality of service. It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-tomany matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. It is solved by Hungarian method. Simulation results show that the proposed scheme significantly improves system capacity of the deviceto-device underlay network, with quality of service of both device-to-device users and cellular users guaranteed.

show abstract

An Interference Management Strategy for Dynamic TDD in Ultra-dense Networks

Cited by 2 publications

References 7 publications

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

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

Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks

Contact Info

Product

Resources

About