5G green cellular networks considering power allocation schemes

Ge, Xiaohu; Chen, Jiaqi; Wang, Cheng-Xiang; Thompson, John; Zhang, Jing

doi:10.1007/s11432-015-5502-8

Cited by 15 publications

(2 citation statements)

References 44 publications

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“…In [16], measurement of vehicle-tovehicle (V2V) channels has proved that the stationary interval of channels between vehicles driving in opposite directions can be very short. Therefore, research of non-stationary channel modeling has gradually become a hot research topic especially for high-mobility scenarios that are expected to be typical scenarios for the fifth generation (5G) wireless communication systems [17].…”

Section: Introductionmentioning

confidence: 99%

A Non-Stationary IMT-Advanced MIMO Channel Model for High-Mobility Wireless Communication Systems

Ghazal

Yuan²,

Wang

et al. 2017

IEEE Trans. Wireless Commun.

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111

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Abstract-With the recent developments of high-mobility wireless communication systems, e.g., high-speed train (HST) and vehicle-to-vehicle (V2V) communication systems, the ability of conventional stationary channel models to mimic the underlying channel characteristics has widely been challenged. Measurements have demonstrated that the current standardized channel models, like IMT-Advanced (IMT-A) and WINNER II channel models, offer stationary intervals that are noticeably longer than those in measured HST channels. In this paper, we propose a non-stationary channel model with time-varying parameters including the number of clusters, the powers and the delays of the clusters, the angles of departure (AoDs), and the angles of arrival (AoAs). Based on the proposed non-stationary IMT-A channel model, important statistical properties, i.e., the local spatial crosscorrelation function (CCF) and local temporal autocorrelation function (ACF) are derived and analyzed. Simulation results demonstrate that the statistical properties vary with time due to the non-stationarity of the proposed channel model. An excellent agreement is achieved between the stationary interval of the developed non-stationary IMT-A channel model and that of relevant HST measurement data, demonstrating the utility of the proposed channel model.

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Section: Introductionmentioning

confidence: 99%

A Non-Stationary IMT-Advanced MIMO Channel Model for High-Mobility Wireless Communication Systems

Ghazal

Yuan²,

Wang

et al. 2017

IEEE Trans. Wireless Commun.

Self Cite

111

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“…Therefore, the relaying techique is considered to be the best option for extending the coverage and improving the channel quality of MSs located at cell edges, shadow areas, or hot spots. Accordingly, the heterogeneous network (HetNet) with RSs has emerged as a core component of the fifth generation (5G) mobile communication system [5]- [7]. An examplary MRN architecture, in which MSs can be associated with a BS or an RS is depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

Optimal Resource Planning with Interference Coordination for Relay-Based Cellular Networks

Kim¹,

An²,

Yu³

2017

KSII TIIS

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Multihop relay-based cellular networks are attracting much interest because of their throughput enhancement, coverage extension, and low infrastructure cost. In these networks, relay stations (RSs) between a base station (BS) and mobile stations (MSs) drastically increase the overall spectral efficiency, with improved channel quality for MSs located at the cell edge or in shadow areas, and enhanced throughput of MSs in hot spots. These relay-based networks require an advanced radio resource management scheme because the optimal amount of radio resource for a BS-to-RS link should be allocated according to the MS channel quality and distribution, considering the interference among RSs and neighbor BSs. In this paper, we propose optimal resource planning algorithms that maximize the overall utility of relay-based networks under a proportional fair scheduling policy. In the first phase, we determine an optimal scheduling policy for distributing BS-to-RS link resources to RSs. In the second phase, we determine the optimal amount of the BS-to-RS link resources using the results of the first phase. The proposed algorithms efficiently calculate the optimal amount of resource without exhaustive searches, and their accuracy is verified by comparison with simulation results, in which the algorithms show a perfect match with simulations.

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