MABC: Power-Based Location Planning with a Modified ABC Algorithm for 5G Networks
المؤلفون المشاركون
Ahn, C. W.
Sachan, Ruchi
Muhammad, Zahid
Jeong, Jaehoon (Paul)
Youn, Hee Yong
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-06
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The modernization of smart devices has emerged in exponential growth in data traffic for a high-capacity wireless network.
5G networks must be capable of handling the excessive stress associated with resource allocation methods for its successful deployment.
We also need to take care of the problem of causing energy consumption during the dense deployment process.
The dense deployment results in severe power consumption because of fulfilling the demands of the increasing traffic load accommodated by base stations.
This paper proposes an improved Artificial Bee Colony (ABC) algorithm which uses the set of variables such as the transmission power and location of each base station (BS) to improve the accuracy of localization of a user equipment (UE) for the efficient energy consumption at BSes.
To estimate the optimal configuration of BSes and reduce the power requirement of connected UEs, we enhanced the ABC algorithm, which is named a Modified ABC (MABC) algorithm, and compared it with the latest work on Real-Coded Genetic Algorithm (RCGA) and Differential Evolution (DE) algorithm.
The proposed algorithm not only determines the optimal coverage of underutilized BSes but also optimizes the power utilization considering the green networks.
The performance comparisons of the modified algorithms were conducted to show that the proposed approach has better effectiveness than the legacy algorithms, ABC, RCGA, and DE.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sachan, Ruchi& Muhammad, Zahid& Jeong, Jaehoon (Paul)& Ahn, C. W.& Youn, Hee Yong. 2017. MABC: Power-Based Location Planning with a Modified ABC Algorithm for 5G Networks. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1151409
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sachan, Ruchi…[et al.]. MABC: Power-Based Location Planning with a Modified ABC Algorithm for 5G Networks. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1151409
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sachan, Ruchi& Muhammad, Zahid& Jeong, Jaehoon (Paul)& Ahn, C. W.& Youn, Hee Yong. MABC: Power-Based Location Planning with a Modified ABC Algorithm for 5G Networks. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1151409
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1151409
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر