Spatial correlation based analysis of power control in user‐centric 5G networks

Zhang, Hongtao; Chen, Ying; Liu, Yang

doi:10.1049/iet-com.2017.0520

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…In addition, considering the high load situation, our analysis result is significantly better than the result of Li et al, 23 due to the fact that the TPs receiving interference suppression requests all perform interference nulling in the work of Li et al, 23 resulting in a serious decline in resource utilization. Moreover, our result is lower than the result of Zhang et al 14 but fit the simulation more closely, due to Zhang et al 14 ignores the dependent of user performance caused by different overlapping conflict level, only analyze user performance under special case that TPG is independent.…”

Section: Ase Analysiscontrasting

confidence: 46%

“…The TP has at least one UE in its Voronoi cell, otherwise, it is turned off and the probability of full power mode is of no interest. According to the work of Zhang et al, 14 the probability of a TP to have at least one connected user in its Voronoi can be expressed as

\begin{align} p_{a} = 1 prefix- {((), 1 + \frac{λ_{u}}{3.5 λ_{t}})}^{prefix- 3.5} . \end{align}

…”

Section: Analytical Resultsmentioning

confidence: 99%

“…Average user rate is obtained by traversing overlapping conflict level for nonindependent user rate in (13). Then, ASE as the average user rate per unit area is expressed as shown in (14). ▪…”

Section: Proposition 3 the Expression Of Ase We Proposed Is Given Bymentioning

confidence: 99%

“…In the existing research involving overlapping conflict, most works describe the conflict as an optimization problem of resource allocation 13 or use beamforming, 12 and multiple antennas 16 to avoid overlapping conflict. Using stochastic geometry, Zhang et al 14 has analyzed spatial correlation and obtained the independent serving probability of TP. However, the serving probability should vary with overlapping conflict level, thereby the relationship between spatial correlation and overlapping conflict level has not been explicitly modeled.…”

Section: Introductionmentioning

confidence: 99%

“…Organizing a dynamic TPG to serve each user could improve user performance through cooperation of intragroup TPs in different dimensions. 6,11 Unfortunately, for one user, its serving TP may receive the requests from other users because of overlapping conflict between TPGs, 8,[12][13][14] resulting in spatial correlations while introducing nonindependent user performance, which means that no user is typical. However, performance analysis in the existing works is based on typical user, which fails to objectively reflect the overall network performance.…”

Section: Introductionmentioning

confidence: 99%

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Spatial correlation modeling and ergodic capacity analysis of networks with overlapping conflict

Chen

Zhang

2021

Trans Emerging Tel Tech

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The fifth generation (5G) network development trends (e.g., more cells, larger and distributed antenna arrays, higher frequency spectrum) and new technologies are driving beyond 5G (B5G) and even sixth generation (6G) research together. In existing works, performance analysis is based on typical users, but no user is typical, because of spatial correlation in the scheduling of transmission points (TPs) caused by overlapping conflict between the different transmission point groups (TPGs). Using stochastic geometry, this article analyzes ergodic capacity of entire network by deriving the semiclosed form expression of area spectral efficiency (ASE), where Matérn-like model is proposed to capture the spatial correlation of overlapping conflict. Specifically, the serving probability of TP is lower to avoid intense overlapping conflict in heavily overlapping region, thanks to Matérn-like model requires that only one TP with best channel condition be in serving within the same TPG. In addition, considering different serving probabilities of TPs, user performance is nonindependent, thus ASE could more accurately characterize the overall level of user performance by traversing nonindependent user performance. Simulation and analytical results show that ASE considering spatial correlation can more accurately fit the overall performance of networks with overlapping conflict.

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