کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4957357 | 1445076 | 2017 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-objective optimization for spectrum sharing in cognitive radio networks: A review
ترجمه فارسی عنوان
بهینه سازی چند هدف برای به اشتراک گذاری طیف در شبکه های رادیویی شناختی: یک بررسی
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کلمات کلیدی
نرم افزار تعریف شده رادیو، رادیو شناختی، بهینه سازی تنها هدف، الگوریتمهای تکاملی، بهینه سازی چند هدفه، اهداف متضاد، راه حل های مطلوب پارتو،
Conflicting objectivesEvolutionary algorithms - الگوریتم های تکاملیSingle objective optimization - بهینه سازی تنها هدفMulti-objective optimization - بهینه سازی چند هدفهSoftware Defined Radio - رادیو تعریف شده توسط نرم افزارCognitive Radio - رادیوی شناختیPareto optimal solutions - راه حل های پارتو مطلوب
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Due to advancements in the wireless networking technologies, a lot of new wireless services are demanding the radio spectrum for their usage. The radio spectrum is considered as a limited natural resource for radio communications, and it became crowded. In fact, this resource is not limited, rather the scarcity of the radio spectrum arises because of inefficient and fixed utilization of this valuable resource. This inefficient and under-utilization of radio spectrum has diverted the attentions of the researchers towards the different techniques in order to access the spectrum dynamically and adaptively. The concept of Cognitive Radio (CR) can be implemented by making the communication devices intelligent, in order to use the available radio spectrum efficiently. The efficient implementation of cognitive radios into the wireless networks gives rise to a tremendous number of optimization problems with multiple objectives. In most of the cases, these objectives are conflicting with each other and need to be addressed carefully. In this article, we will present the importance of multi-objective optimization (MOO) in cognitive radio networks (CRNs). We will discuss about the fundamental differences in single objective optimization (SOO) and MOO techniques, in order to solve MOO problems associated with CRNs. We will differentiate between the possible relations such as, conflicting, supporting and design dependent, among these objectives. A comparative discussion will also be provided about optimization types, solution approaches/algorithms and different combining techniques to combine multiple objectives in order to address MOO problems those comes with CRNs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pervasive and Mobile Computing - Volume 41, October 2017, Pages 106-131
Journal: Pervasive and Mobile Computing - Volume 41, October 2017, Pages 106-131
نویسندگان
Muhammad Rashid Ramzan, Nadia Nawaz, Ashfaq Ahmed, Muhammad Naeem, Muhammad Iqbal, Alagan Anpalagan,