Interference management techniques in cellular networks: A review

Adediran, Yinusa A.; Lasisi, Hammed Oyebamiji; Okedere, O. B.

doi:10.1080/23311916.2017.1294133

Cited by 17 publications

(10 citation statements)

References 26 publications

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“…It is a future requirement to make smart grid more efficient and realistic. In present days LPWAN Technologies such as NB-IoT, Sigfox, LoRA and Li-Fi is quite high as compare to other communication technologies but it must be more improved by adopting new techniques [44].…”

Section: High Data Ratementioning

confidence: 99%

Future smart grid communication-deployment of IoT: opportunities and challenges

Soni

Subhashini

2021

IJEECS

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India’s electrical power system grid also known as the power grid is serving us from a very long time. In this duration, there were no major developments or changes reported in the power grid system. Electrical power consumer demand is increasing drastically and the present grid system is not able to fulfil these emerging requirements. To fulfil the requirements of future power load, we need a modified system which has to be reliable, secure, intelligent and efficient. By converting the power grid into the smart grid will be a promising solution for adopting the above properties. Communication Infrastructure is a major part of the smart grid. The end-user can reduce their expenditure on electricity demand by using smart home appliance, to keep away from the rush hours and also make use of the renewable energy instead from utility, is a great example of deployment of internet of things (IoT) in grid communication. In this paper, we have provided a survey of different communication technology, applications, benefits and challenges in communication infrastructure, spatially IoT.

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Section: High Data Ratementioning

confidence: 99%

Future smart grid communication-deployment of IoT: opportunities and challenges

Soni

Subhashini

2021

IJEECS

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“…Since 3G is an interference-limited system, interference analysis is the primary criteria to evaluate the performance of UMTS network. Generally, the total interference within a particular system composed of intra-cell and inter-cell interferences which are introduced at each uplink and downlink scenarios [13] [14].  Intra-cell interference In the uplink, all the other mobile users, who are in the coverage region of a single base station (BS), cause intra-cell interference to the connected user.…”

Section: 22mentioning

confidence: 99%

Study of Uplink Interference in UMTS Network: ASIACELL Company, Iraq

Karim

Othman

2020

KJAR

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Universal Mobile Telecommunications System (UMTS), is the third generation (3G) of mobile communication which is based on the wideband code division multiple access (W-CDMA) radio access to provide bandwidth and spectral efficiency. Interference in 3G system is significantly lower compared to the preceded generations. However, it does not mean 3G is free from the issues associated with interferences, such as low signal quality and call drop. The interference level in UMTS can be measured by using the well-known parameter Received Total Wideband Power (RTWP). This parameter is affected by many factors such as number of the users connected to the system, combining second generation (2G) and 3G frequencies within the same geographical area, geographical causes (difference of Altitude), and hardware impairment. In this paper we intensively study how these factors affect the uplink interference level (i.e. RTWP value) in 3G system used by a particular telecommunications company, Asiacell company, Iraq. The obtained data shows that call drop is the most serious issue raised due to high value of RTWP in 3G system. We demonstrate that system enhancement, in terms of lower RTWP level, are obtained by adding second carrier to the sites, separating 2G band from 3G band using special filter, and optimizing the hardware components.

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“…Co-channel cells also exhibit interference signals, which are referred to as co-channel interference. The only way to eliminate co-channel interference is by ensuring that the cells are separated by a sufficient distance [38]. In [39], the authors showed that in situations where cell sizes and base station power transmission are equal, the ratio of co-channel interference is often not a function of the power transmitted, but rather, that it depends on the cell radius (R) and the center spread of the nearest co-channel cells (D).…”

Section: Consecutive Colorsmentioning

confidence: 99%

Sustainable Communication Systems: A Graph-Labeling Approach for Cellular Frequency Allocation in Densely-Populated Areas

2019

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The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the “limited” frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be useful in other scheduling and optimization problems. Furthermore, this unique concept makes it possible to develop a more sustainable telecommunication system with ease of connectivity among users, even when several subscribers are on a common frequency.

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Interference management techniques in cellular networks: A review

Cited by 17 publications

References 26 publications

Future smart grid communication-deployment of IoT: opportunities and challenges

Future smart grid communication-deployment of IoT: opportunities and challenges

Study of Uplink Interference in UMTS Network: ASIACELL Company, Iraq

Sustainable Communication Systems: A Graph-Labeling Approach for Cellular Frequency Allocation in Densely-Populated Areas

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