Energy-aware clustering of CoMP-DPS transmission points

Tatsis, Vasileios I.; Karavolos, Michail H.; Skoutas, Dimitrios N.; Νομικός, Νικόλαος; Vouyioukas, Demosthenes; Skianis, Charalabos

doi:10.1016/j.comcom.2018.11.009

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…δ u im > 0 end while C i .clustered = 1 end for model in [28] is adapted in our simulation as given in (13). PL = 36.7 log 10 (d) + 22.7 + 26 log 10 (fc) Rest of the simulation parameters are summarized in Table 1.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…A number of multi-objective dynamic clustering algorithms are studied in literature where energy efficiency and spectral efficiency are jointly optimized [11]- [13] and also backhaul availability is taken into account for clustering design [14]- [16]. However, to our knowledge, load balancing has not been considered in network-centric CoMP clustering in literature which jointly optimize LB and SE.…”

Section: Related Work and Problem Statementmentioning

confidence: 99%

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A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks

et al. 2019

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Coordinated multi-point (CoMP) transmission is one of the key features for long term evolution advanced (LTE-A) and a promising concept for interference mitigation in 5th generation (5G) and beyond future densely deployed wireless networks. Due to the cost of coordination among many transmission points (TP), radio access network (RAN) needs to be clustered into smaller groups of TPs for coordination. In this paper, we develop a novel, load-aware clustering model by employing a merge/split concept from coalitional game theory. A load-aware utility function is introduced to maximize both spectral efficiency (SE) and load balancing (LB) objectives. We show that proposed load-aware clustering model dynamically adapts into the network load conditions providing high SE in low-load conditions and results in better load distribution with significantly less unsatisfied users in overload conditions while keeping SE at comparable levels when compared to a greedy clustering model. Simulation results show that the proposed solution can reduce the number of unsatisfied users due to overload conditions by 68.5% when compared to the greedy clustering algorithm. Furthermore, we analyze the stability of the proposed solution and prove that it converges to a stable partition in both homogeneous network (HN) and random network (RN) with and without hotspot scenarios. In addition, we show the convergence of our algorithm into the unique clustering solution with the best payoff possible when such a solution exists. INDEX TERMS 5G, network MIMO, coordinated multi-point, SON, load balancing.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Related Work and Problem Statementmentioning

confidence: 99%

A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks

et al. 2019

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“…The above goals can be accomplished by standardizing the synchronization process of IEC 61850-9-2 functions as well as wideband technologies that support quality of service (QoS), such as 5G telecommunication networks [50,51]. Concluding, IEC 61850 is the only international standard for substation automation that is based on open architecture and incorporates specifications for sampling and timing synchronization based on IEEE 1588 in local and in wide area networks [14,49].…”

Section: Smart Substation Automationmentioning

confidence: 99%

Communication Network Standards for Smart Grid Infrastructures

Demertzis

Τσίκνας

Taketzis³

et al. 2021

Network

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Upgrading the existing energy infrastructure to a smart grid necessarily goes through the provision of integrated technological solutions that ensure the interoperability of business processes and reduce the risk of devaluation of systems already in use. Considering the heterogeneity of the current infrastructures, and in order to keep pace with the dynamics of their operating environment, we should aim to the reduction of their architectural complexity and the addition of new and more efficient technologies and procedures. Furthermore, the integrated management of the overall ecosystem requires a collaborative integration strategy which should ensure the end-to-end interconnection under specific quality standards together with the establishment of strict security policies. In this respect, every design detail can be critical to the success or failure of a costly and ambitious project, such as that of smart energy networks. This work presents and classifies the communication network standards that have been established for smart grids and should be taken into account in the process of planning and implementing new infrastructures.

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