Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224299743> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4224299743 endingPage "193" @default.
- W4224299743 startingPage "183" @default.
- W4224299743 abstract "Network congestion is one of the key challenges to mobile communication services. This is because of rapid and constant growth in the mobile subscriber base that has led to an increase in network traffic. The more the network traffic the more economic opportunity from the business perspective for the operators and the challenges it poses on the network. If not followed by network capacity expansion it will defiantly pose a serious network issue like network congestion that leads to call drop and poor Quality of Service (QoS). Many research works adopted handover mechanism as a means of reducing congestion in a network. However, the decision on when to initiate a handover, which cell to receive the Mobile Station (MS) and how to ensure that the QoS requirements are maintained are the paramount research questions that must be resolved. Therefore, a handover process using soft computing in the Adaptive Neuro-Fuzzy Inference System (ANFIS) to ensure balanced traffic load distribution in-network and reduce the probability of congestion is proposed. The study allows simultaneous evaluation of three major network parameters Received Signal Strength (RSS), Received Signal Quality (RxQual) and network traffic using ANFIS to improve system performance. The results show that when the Hysteresis value approaches 6 the handover processes are triggered. The hysteresis value of the concerned MS with neighbouring cells is considered to determine the most suitable cell to handover. This work will be able to achieve dynamic load balancing, congestion avoidance and avoided the ‘ping pong’ effect that is often an issue with handover with less computation. At the end customer satisfaction will be achieve Quality of experience (QoE)." @default.
- W4224299743 created "2022-04-26" @default.
- W4224299743 creator A5011793588 @default.
- W4224299743 creator A5024906357 @default.
- W4224299743 creator A5048504262 @default.
- W4224299743 date "2022-04-19" @default.
- W4224299743 modified "2023-09-30" @default.
- W4224299743 title "Dynamic Load Balancing for Congestion Avoidance using Adaptive Neuro-Fuzzy Inference System in Mobile Communication Network" @default.
- W4224299743 doi "https://doi.org/10.32985/ijeces.13.3.3" @default.
- W4224299743 hasPublicationYear "2022" @default.
- W4224299743 type Work @default.
- W4224299743 citedByCount "1" @default.
- W4224299743 countsByYear W42242997432023 @default.
- W4224299743 crossrefType "journal-article" @default.
- W4224299743 hasAuthorship W4224299743A5011793588 @default.
- W4224299743 hasAuthorship W4224299743A5024906357 @default.
- W4224299743 hasAuthorship W4224299743A5048504262 @default.
- W4224299743 hasBestOaLocation W42242997431 @default.
- W4224299743 hasConcept C111852164 @default.
- W4224299743 hasConcept C133972139 @default.
- W4224299743 hasConcept C138959212 @default.
- W4224299743 hasConcept C153646914 @default.
- W4224299743 hasConcept C158379750 @default.
- W4224299743 hasConcept C187691185 @default.
- W4224299743 hasConcept C195563490 @default.
- W4224299743 hasConcept C201100257 @default.
- W4224299743 hasConcept C2524010 @default.
- W4224299743 hasConcept C31258907 @default.
- W4224299743 hasConcept C33923547 @default.
- W4224299743 hasConcept C41008148 @default.
- W4224299743 hasConcept C5119721 @default.
- W4224299743 hasConceptScore W4224299743C111852164 @default.
- W4224299743 hasConceptScore W4224299743C133972139 @default.
- W4224299743 hasConceptScore W4224299743C138959212 @default.
- W4224299743 hasConceptScore W4224299743C153646914 @default.
- W4224299743 hasConceptScore W4224299743C158379750 @default.
- W4224299743 hasConceptScore W4224299743C187691185 @default.
- W4224299743 hasConceptScore W4224299743C195563490 @default.
- W4224299743 hasConceptScore W4224299743C201100257 @default.
- W4224299743 hasConceptScore W4224299743C2524010 @default.
- W4224299743 hasConceptScore W4224299743C31258907 @default.
- W4224299743 hasConceptScore W4224299743C33923547 @default.
- W4224299743 hasConceptScore W4224299743C41008148 @default.
- W4224299743 hasConceptScore W4224299743C5119721 @default.
- W4224299743 hasIssue "3" @default.
- W4224299743 hasLocation W42242997431 @default.
- W4224299743 hasLocation W42242997432 @default.
- W4224299743 hasOpenAccess W4224299743 @default.
- W4224299743 hasPrimaryLocation W42242997431 @default.
- W4224299743 hasRelatedWork W1481037389 @default.
- W4224299743 hasRelatedWork W1576747241 @default.
- W4224299743 hasRelatedWork W1599658254 @default.
- W4224299743 hasRelatedWork W1781722852 @default.
- W4224299743 hasRelatedWork W2027336428 @default.
- W4224299743 hasRelatedWork W2095655338 @default.
- W4224299743 hasRelatedWork W2135509670 @default.
- W4224299743 hasRelatedWork W2137646529 @default.
- W4224299743 hasRelatedWork W2158453368 @default.
- W4224299743 hasRelatedWork W2396134384 @default.
- W4224299743 hasVolume "13" @default.
- W4224299743 isParatext "false" @default.
- W4224299743 isRetracted "false" @default.
- W4224299743 workType "article" @default.