中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (6): 41-46.doi: 10.1016/S1005-8885(16)60068-7

• Wireless • 上一篇    下一篇

Coverage analysis of cache-enabled small cell networks with stochastic geometry methods

张琪1,滕颖蕾1,刘梦婷1,宋梅2   

  1. 1. 北京邮电大学
    2. 北京邮电大学电子工程学院
  • 收稿日期:2016-09-26 修回日期:2016-12-21 出版日期:2016-12-31 发布日期:2016-12-30
  • 通讯作者: 张琪 E-mail:zhangqi2015@bupt.edu.cn
  • 基金资助:
    中国国家自然科学基金

Coverage analysis of cache-enabled small cell networks with stochastic geometry methods

  • Received:2016-09-26 Revised:2016-12-21 Online:2016-12-31 Published:2016-12-30
  • Contact: Qi ZHANG E-mail:zhangqi2015@bupt.edu.cn
  • Supported by:
    National Natural Science Foundation of China

摘要: Caching popular content in the storage of small cells is deemed as an efficient way to decrease latency, offload backhaul and satisfy user’s demands. In order to investigate the performance of cache-enabled small cell networks, coverage probability is studied in both single-point transmission and cooperative multipoint (CoMP) transmission scenarios. Meanwhile, the caching distribution modeled as Zipf and uniform distribution are both considered. Assuming that small base stations (SBSs) are distributed as a homogeneous Poisson point process (HPPP), the closed-form expressions of coverage probability are derived in different transmission cases. Simulation results show that CoMP transmission achieves a higher coverage probability than that of single-point transmission. Furthermore, Zipf distribution-based caching is more preferable than uniform distribution-based caching in terms of coverage probability.

关键词: caching, coverage probability, single-point transmission, CoMP transmission, stochastic geometry

Abstract: Caching popular content in the storage of small cells is deemed as an efficient way to decrease latency, offload backhaul and satisfy user’s demands. In order to investigate the performance of cache-enabled small cell networks, coverage probability is studied in both single-point transmission and cooperative multipoint (CoMP) transmission scenarios. Meanwhile, the caching distribution modeled as Zipf and uniform distribution are both considered. Assuming that small base stations (SBSs) are distributed as a homogeneous Poisson point process (HPPP), the closed-form expressions of coverage probability are derived in different transmission cases. Simulation results show that CoMP transmission achieves a higher coverage probability than that of single-point transmission. Furthermore, Zipf distribution-based caching is more preferable than uniform distribution-based caching in terms of coverage probability.

Key words: caching, coverage probability, single-point transmission, CoMP transmission, stochastic geometry

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