Joint training method for transmission defects based on component hierarchy

Wang, Chao; Tian, Yazhou; Yuan, Shaoguang; Zhang, Xiaofei; Gao, Xiao‐Wei; Qiyun, Tan

doi:10.1007/s00500-022-07317-z

Cited by 2 publications

(1 citation statement)

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“…The reuse mode is considered for our joint resource allocation [30][31] in D2D. Joint resource and power control allocation in a multi-cell scenario is considered in [32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Efficient Resource Allocation Algorithm for D2D Communication in 5G Wireless Networks

Gopal

Velmurugan

2023

Preprint

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Device-to-device (D2D) communication is a leading technology to improve spectral efficiency and needed data rates in 5G networks. It brings down the offload traffic rate too in advanced network communications that employ wireless techniques. In this work, a novel Hungarian-based joint uplink-downlink resource allocating method is explained for realizing optimized network throughput. It considers the Quality of Service of the D2D clients and cellular users (CUs). Specifically, the proposed technique allows the device clients to reuse the resource provisions of CUs at the instant of either downlink or uplink. Formulation of optimizing problems is done as a mixed integer non-linear programming language generally called NP-hard (non-polynomial time hardness). The issue is addressed in a couple of different stages. The first stage is assigning Sub Channel (SC) and the second stage is Power Allocation (PA). This verifies the performance of the SC assignment and PA with network throughput, the maximum transmission power of CUs, D2D, BS as well as distancing from one to another to be the parameters of prime concern. The Hungarian method in the proposal is a converging optimizing answer in polynomial time. Finally, the results are compared with the existing joint uplink-downlink resource allocation (JUDRA) techniques.

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“…The reuse mode is considered for our joint resource allocation [30][31] in D2D. Joint resource and power control allocation in a multi-cell scenario is considered in [32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%