A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks
المؤلفون المشاركون
Ahn, C. W.
Choi, Tae Jong
Sachan, Ruchi
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-21
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The exponential growth in data traffic due to the modernization of smart devices has resulted in the need for a high-capacity wireless network in the future.
To successfully deploy 5G network, it must be capable of handling the growth in the data traffic.
The increasing amount of traffic volume puts excessive stress on the important factors of the resource allocation methods such as scalability and throughput.
In this paper, we define a network planning as an optimization problem with the decision variables such as transmission power and transmitter (BS) location in 5G networks.
The decision variables lent themselves to interesting implementation using several heuristic approaches, such as differential evolution (DE) algorithm and Real-coded Genetic Algorithm (RGA).
The key contribution of this paper is that we modified RGA-based method to find the optimal configuration of BSs not only by just offering an optimal coverage of underutilized BSs but also by optimizing the amounts of power consumption.
A comparison is also carried out to evaluate the performance of the conventional approach of DE and standard RGA with our modified RGA approach.
The experimental results showed that our modified RGA can find the optimal configuration of 5G/LTE network planning problems, which is better performed than DE and standard RGA.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sachan, Ruchi& Choi, Tae Jong& Ahn, C. W.. 2016. A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1103488
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sachan, Ruchi…[et al.]. A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1103488
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sachan, Ruchi& Choi, Tae Jong& Ahn, C. W.. A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1103488
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1103488
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