Benner
حيدر عبد الحسن ال كيم ( مدرس )
كلية الهندسة - الالكترون والاتصالات
[email protected]
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Extending the LTE-Sim for LTE-Advance with CoMP and Relaying in Heterogeneous 4G Mobile Networks
تحميل
بحث النوع:
هندسة التخصص العام:
Haider Al Kim اسم الناشر:
none اسماء المساعدين:
University Technology Of Sydney UTS الجهة الناشرة:
TS is a dynamic and innovative university in central Sydney. One of Australia’s leading universities of technology, UTS has a distinct model of learning, strong research performance and a leading reputation for engagement with industry and the professions. UTS has a culturally diverse campus life and vibrant international exchange study and research programs that prepare graduates for the workplaces of today and the future. Our City campus is in the heart of Sydney's creative precinct and alongside Sydney's central business district. Over the next three years, the final phase of our City Campus Master Plan will deliver a state-of-the-art campus to meet the needs of 21st century students. Our Strategic Plan outlines our vision to be a world‑leading university of technology and provides a strong statement about UTS’s aspirations for our third decade. UTS is part of the Australian Technology Network of universities: a group of five prominent universities committed to working with industry and government to deliver practical and professional courses. With a total enrolment of over 40,000 students, UTS is one of the largest universities in Australia.  
2014 سنة النشر:

الخلاصة

This report presents heterogeneous network (HetNets) in the Long Term Evolution (LTE) to introduce Long Term Evolution-Advanced (LTE-A). The evolution in the next generation of mobile network has been stated in this study using the Pico with Macro HetNets. Such networks are under what is so-called 4G technology that meets users’ aspirations in terms of data rate and system accessibility. LTE and LTE-A provide high speed access to the packet data rate; therefore, various devices such as notebook, IPods, smart phones, laptops, and cameras currently could be connected to the internet to work in their full features. Most recent networks depend on the functionality of enhanced base station to perform the complex operations; thereby, rely on Radio Resource Management (RRM) functionalities that is placed in enhanced Node B. RRM is demonstrated focusing on its functions such as packet scheduling and handover management. Taking the advantage of HetNets while utilizing of LTE-based operations such as Carrier Aggregation (CA), Multi-in Multi-out antenna MIMO and Cooperation Multipoint transmission and reception CoMP has been widely adopted by mobile operators since the cost of HetNets (adding small cells) is considerably accepted. This mixing of HetNets with LTE specific technologies improves spectral efficiency, enhances the system coverage and capacity, as well as minimizes the overall cost of the operating. More importantly, it is expected that it boosts the data rate to 1 Gbps in the downlink direction and 500 Mbps in the uplink direction and supports a speed of mobility up to 500 Km/h. The Third Generation Partnership Project (3GPP) target was obtaining 100 Mbps high peak data rate in the downlink and 50 Mbps in the uplink using the 20 MHz bandwidth of LTE system comparing with the previous systems. Due to the limited available radio resources, RRM performs packet scheduling to allocate resource fairly among instantaneous arrived users. The system performance is affected by the packet schedulers that play an essential role in the resource allocations. This study is based on three selected packet scheduling schemes that have been built in the used simulation platform. Real Time algorithms such Maximum-Largest Weighted Delay first (M-LWDF) algorithm and the exponential/proportional fair (EXP/PF) have been implemented. The Non-Real Time algorithm that is used is Proportional Fair (PF). The performance of these schemes is evaluated via the metric of the throughput, Packet Loss Ratio PLR (also called Packet Error Rate), delay (latency) and fairness index.