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Research On Radio Resource Management Based On Positional Information

Posted on:2014-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:B B LiuFull Text:PDF
GTID:2248330398470781Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
This paper mainly focused on radio resource management based on position information. It is consisted by two parts. The first part focuses on wireless location algorithm in wireless cellular networks. And the second part focuses on combination of position information and radio resource management.Firstly, mathematical models of some basic location algorithms are established. The advantages and performance of these algorithms is analyzed by simulation. Then, a deep research on the geometric location algorithm is done based on TOA (Time of Arrival, signal arrival time) against non-line-of-sight propagation. Then a new algorithm is proposed which introduced geometric location method into base station selection. It can mitigate the NLOS error and improve location accuracy.The second part includes relay management and interference coordination. Two algorithms which called centralized scheduling and localized scheduling are raised in relay management. These two algorithms are applicable in single relay scenario. The advantage and disadvantage are analyzed by simulation. Village throughput of centralized scheduling is slightly better than distributed scheduling. But the edge users’performance of distributed scheduling is slightly better than centralized scheduling. Relay is the important resource in multi-relay scenario, so the relay selection algorithm based on position information is proposed. The results show that the channel capacity will be affected by the number of candidate relay nodes and gain threshold. It is also proved by simulation that position information is important in relay selection. Interference coordination is also one of the most important resource management technologies. And how to classify cell-center users and cell edge users is critical for interference coordination. In this paper, the users are classified by position and different algorithms are studied and simulated. In the end, the performance of those algorithms is compared. The performance of the edge users is improved, when joined interference coordination. By comparing three interference coordination schemes, although area average spectrum efficiency of SFR scheme II is no significant increased, but the efficiency of edge users is greatly improved. It is proved to be a method of optimal.
Keywords/Search Tags:wireless location, NLOS environment, TOA, Relaymanagement, Interference coordination
PDF Full Text Request
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