حسگری همکارانه طیف مبتنی بر آشکارسازی دو آستانه‌ای با قابلیت بهبود همزمان گذردهی و کاهش انرژی مصرفی در شبکه رادیو شناختگر
محورهای موضوعی : ارتباطات بی سیم
مسعود مرادخانی
1
(گروه برق، دانشکده فنی مهندسی، واحد ایلام، دانشگاه آزاد اسلامی، ایلام، ایران)
فرزاد سلطانیان
2
(گروه برق، دانشکد فنی مهندسی، واحد ایلام، دانشگاه آزاد اسلامی، ایلام، ایران)
کلید واژه: حسگری طیف همکارانه, گذردهی, آشکارسازی انرژی, رادیو شناختگر, انرژی مصرفی,
چکیده مقاله :
با انجام حسگری طیف همکارانه در یک شبکه رادیو شناختگر اگر چه با افزایش تعداد کاربران ثانویه گذردهی شبکه افزایش می‌یابد، اما در عین حال باعث افزایش مصرف انرژی نیز می‌گردد. این موضوع لزوم ارائه سیستمی که قادر به ایجاد موازنه بین گذردهی و انرژی مصرفی باشد را ضروری می‌سازد. برخلاف روش متعارف حسگری طیف مبتنی بر یک مقدار آستانه آشکارسازی، حسگری طیف با دو مقدار آستانه از گزارش داده‌های غیرقابل اعتماد به مرکز همجوشی جلوگیری می‌کند، بنابراین می‌تواند به طور بالقوه منجر به صرفه‌جویی بیشتر در انرژی مصرفی شود. در این مقاله یک شبکه رادیو شناختگر با حسگری طیف دو آستانه ای و با فرض کانال گزارش غیرایده ال بهینه سازی می‌گردد. مقادیر بهینه آستانه و زمان حسگری به صورت توام محاسبه می‌گردند تا گذردهی شبکه را حداکثر کرده مشروط بر اینکه انرژی مصرفی و میزان تداخل با کاربران اولیه محدود گردد. مساله بهینه سازی فرمول بندی شده و روشی عددی برای حل آن ارائه می‌گردد. نتایج شبیه‌سازی نشان‌دهنده یک سیستم انعطاف پذیر است که می‌تواند همزمان گذردهی بالاتر و انرژی مصرفی کمتری را نسبت به روش متعارف حسگری فراهم کند. این نتایج ضمن تایید تاب آوری بالاتر در برابر خطای کانال گزارش، صرفه جویی انرژی قابل توجهی تا سقف 70% را با تضمین کارایی گذردهی بیشتر از 1 نشان می دهد.
By performing cooperative spectrum sensing in a cognitive radio network, although the network throughput increases with the increase in the number of secondary users, but at the same time, it also causes an increase in energy consumption. This makes it necessary to provide a system that is able to create a tradeoff between throughput and energy consumption. In contrast to the conventional method of spectrum sensing based on one detection threshold, spectrum sensing with double thresholds avoids reporting unreliable data to the fusion center, thus potentially leading to greater energy saving. In this paper, a double threshold spectrum sensing cognitive radio network with a non-ideal reporting channel is optimized. The values of the threshold and the sensing time are jointly optimized to maximize the throughput of the network, provided that the network energy consumption and the amount of interference with the primary users are limited. The optimization problem is formulated and a numerical method is presented to solve it. The simulation results show a flexible system that can simultaneously provide higher throughput and lower energy consumption than the conventional sensing method. These results, while confirming the higher tolerance against the error of the reporting channel, show a significant energy saving of up to 70% by guaranteeing the throughput efficiency greater than 1.
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