Abstract
The geography-based (geo-based) resource selection algorithm is one of the feasibility schemes of third-generation partnership project (3GPP). However, most researches about it ignore the impacts of boundary interference and vehicle density. Therefore, this paper firstly puts forward an enhanced geo-based resource selection algorithm (EGRSA). This algorithm can eliminate the boundary interference through randomizing subframes of each sub resource pool. On the basis of EGRSA, the dynamic geo-based resource selection algorithm (DGRSA) is proposed to guarantee the reliability of communication when vehicle density is nonuniform. In DGRSA, mapping relationships are changed dynamically by grouping and optimal matching, and the size of each sub resource pool can also be adjusted. The system level simulation results indicate that the EGRSA is able to improve the packet reception ratio (PRR) and reduce the number of boundary collisions. Meanwhile, the proposed DGRSA further promotes the PRR when vehicle density is in a non-uniformity distribution because of traffic jam.
Highlights
With the development of telecommunication technologies and sensor techniques, intelligent transportation system (ITS) is regarded as a major development direction in the transportation field
It means that collisions must be generated among vehicle user equipment (VUE) in these four areas when enhanced geo-based resource selection algorithm (EGRSA) is performed because resource blocks are not enough
To compensate its weakness when traffic jams take place, the dynamic geo-based resource selection algorithm is proposed which utilizes the theory of optimal matching in a bipartite graph and adjusts the
Summary
With the development of telecommunication technologies and sensor techniques, intelligent transportation system (ITS) is regarded as a major development direction in the transportation field. In [5], an algorithm that every VUE detects the average received energy on every resource block before it is ready to transmit a message is proposed Another energy sensing algorithm based on schedule assignment (SA) decoding is discussed in [6, 7] and is standardized in [8]. In coarse geo knowledge selection algorithm, VUE cannot determine the resource block only by location. It can just determine a sub resource pool instead. On the basis of above analysis, this paper proposes an enhanced geo-based resource selection algorithm (EGRSA) which includes the solution of eliminating boundary interference.
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