بهینه سازی برنامه ریزی خطی عدد صحیح از سیاست های RRM مشترک برای سیستم های بی سیم ناهمگن
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|25258||2012||7 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Computer Networks, Volume 56, Issue 1, 12 January 2012, Pages 112–126
Wireless systems will be characterized by the coexistence of heterogeneous Radio Access Technologies (RATs) with different, but also complementary, performance and technical characteristics. These heterogeneous wireless networks will provide network operators the possibility to efficiently and coordinately use the heterogeneous radio resources, for which novel Joint Radio Resource Management (JRRM) policies need to be designed. In this context, this work proposes and evaluates a JRRM policy that simultaneously determines for each user an adequate combination of RAT and number of radio resources within such RAT to guarantee the user/service QoS requirements, and efficiently distribute the radio resources considering a user fairness approach aimed at maximizing the system capacity. To this aim, the JRRM algorithm, which takes into account the discrete nature of radio resources, is based on integer linear programming optimization mechanisms.
نتیجه گیری انگلیسی
This paper has presented a novel JRRM policy and several variants designed to jointly manage the radio resources of various RATs present in heterogeneous wireless networks. The proposed JRRM algorithm considers the discrete nature of mobile radio resources, and is based on integer linear programming optimization techniques that try to optimize the distribution of radio resources by maximizing their use and providing users with satisfactory QoS levels. The conducted study has demonstrated the potential of integer linear programming-based algorithms to efficiently solve JRRM problems, providing high QoS levels and efficiently using the available radio resources. The obtained results have also shown the capacity of the JRRM proposals to satisfy the established resource managements policies and requirements. The JRRM proposal could easily be adapted to other policies and requirements by modifying its system and service constraints. The paper has also highlighted the possibility to optimize the operation and resource management of the integer linear programming JRRM proposal with some simple heuristics improvements that result in a more efficient use of the radio resources. Finally, this work has analyzed the computational cost of the JRRM proposal in hardware emulators, and has demonstrated its capacity to achieve distribution solutions in real-time, thereby increasing its future implementation perspectives.