Realtime dynamic clustering for interference and traffic adaptation in wireless TDD system

Tao, Mingliang; Cui, Qimei; Tao, Xiaofeng; Xiao, Haihong

doi:10.1109/cipls.2014.7007171

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…The greedy method is able to adapt to the instantaneous network load, but it might not be optimal during a long period of time. The central idea of evolutionary game algorithm [14] includes "choice" operation and "mutation" operation. A player (corresponding to a home base station) chooses its TDD frame configuration based on the utility function where the policy with greater utility function will be chosen with higher probability.…”

Section: Introductionmentioning

confidence: 99%

Service- and interference-aware dynamic TDD design in 5G ultra-dense network scenario

Gao¹,

Binyong²,

Chuai³

2017

J Wireless Com Network

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The 5G wireless communication system supports varied applications, making the uplink/downlink traffic asymmetry more and more serious. Dynamic time division duplex (TDD) technique has become a key technology of 5G networks due to its flexibility to support asymmetric services. In this paper, we study dynamic TDD sub-frame reconfiguration algorithm based on shifting. Firstly, we define cell shifting priority considering both traffic and interference. Then, we perform cell shifting-based TDD sub-frame reconfiguration following cell shifting priority. Simulation results show that the proposed dynamic TDD algorithm can guarantee high data rate and low interference, thus effectively increases the network throughput.

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Section: Introductionmentioning

confidence: 99%