سنجش طیف و تخصیص همزمان منابع با استفاده از دسترسی احتمالاتی به طیف در شبکه های رادیوشناختی چندحاملی

نوع مقاله : مقاله پژوهشی

نویسندگان

شهید بهشتی

چکیده

روش سنجش طیف و تخصیص منابع همزمان در شبکه‌های رادیوشناختی به منظور بهینه‌سازی همزمان مؤلفه‌های سنجش و دسترسی به طیف و تخصیص منابع رادیویی، نرخ ارسال بالاتری را برای کاربران شبکه رادیوشناختی فراهم می‌نماید. در این مقاله، سنجش طیف و تخصیص همزمان توان در یک شبکه رادیوشناختی چندحاملی بررسی می‌شود. بدین منظور، ابتدا با تعریف تابع احتمال دسترسی به طیف، روابط احتمال آشکارسازی، احتمال هشدار اشتباه، نرخ قابل دسترس و تداخل اعمال­شده به کاربر اولیه به­دست آمده و سپس، مسئله سنجش طیف و تخصیص توان همزمان با تعریف یک مسئله بهینه‌سازی با هدف بیشینه‌سازی نرخ ارسال در شبکه رادیوشناختی تحت قید تداخل اعمال­شده به شبکه کاربر اولیه و نیز محدودیت بودجه توان شبکه رادیوشناختی مدل‌سازی می‌شود. مسئله بهینه‌سازی حاصل یک مسئله غیرمحدب بوده که با ارائه دو راه­کار مبتنی بر الگوریتم ژنتیک، جواب بهینه برای آن به­دست می‌آید. این دو راه­کار عبارتند از: الف) بهینه‌سازی محدب با استفاده از روش ضرایب لاگرانژ و ب) روش برنامه‌ریزی خطی. در انتها، با ارائه نتایج شبیه‌سازی عددی، عملکرد روش‌های ارائه­شده را در مقایسه با روش‌های موجود مورد تحلیل و ارزیابی قرار می‌دهیم.

کلیدواژه‌ها

عنوان مقاله [English]

Joint Spectrum Sensing and Power Allocation for Multiband Cognitive Radio Networks Using Probabilistic Spectrum Access

نویسندگان [English]

  • Mohammad Karimi
  • Seyyed Mohammad Sajjad Sadough
چکیده [English]

Joint optimization of spectrum sensing and spectrum access parameters of a cognitive radio sensor network (CRSN) leads to a higher sum throughput of secondary users (SUs) while the interference introduced to primary users (PUs) is kept under certain tolerable level. In this work, first, by using the concept of probabilistic spectrum access, joint spectrum sensing and power allocation is performed in a multiband CRSN. The considered optimization problem is formulated with the aim of maximizing the average opportunistic secondary data rate under constraints on the interference introduced to PU and limited power budget of SU. The considered system model leads to a non-convex optimization problem which is converted into a convex problem. Based on using genetic algorithms, optimal solution of this problem is obtained using two different approaches: i) Lagrange multipliers method and ii) Linear programming method. We provide several numerical simulation results to evaluate the performance of our proposed methods in terms of achievable CR data rate, interference introduced to the PU and convergence properties of the proposed algorithms.
 

کلیدواژه‌ها [English]

  • Cognitive Radio Technology
  • Spectrum Sensing
  • Radio Resource Allocation
  • Probabilistic Spectrum Access Function
  • Convex Optimization
  • Genetic Algorithm

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سابقه مقاله

  • تاریخ دریافت: 22 دی 1396
  • تاریخ بازنگری: 19 اردیبهشت 1397
  • تاریخ پذیرش: 06 خرداد 1397
  • تاریخ انتشار: 01 آذر 1397

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