Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution
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. POSITION PAPER .
December 2020, Vol. 63 223301:1–223301:21 https://doi.org/10.1007/s11432-020-2875-7
Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution Xinlei YU1 , Qimei CUI1* , Yuanjie WANG2 , Na LI1 , Xiaofeng TAO1 & Mikko VALKAMA3 1
National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2 National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing 100029, China; 3 Department of Electrical Engineering, Tampere University, Tampere 33720, Finland Received 6 March 2020/Accepted 14 April 2020/Published online 23 October 2020
Abstract The meta distribution as a new performance metric can provide much more fine-grained information about the individual link reliability, and is of great value for the analysis and design of the future cellular networks. In this paper, we investigate the stochastic geometry based analysis for heterogeneous networks from the perspective on the meta distribution. The comprehensive overview for the fundamental framework of the meta distribution is provided, which involves the concepts of the meta distribution and its related performance metric (e.g., mean local delay and spatial outage capacity) and the efficient calculation methods of the meta distribution. The insights of the meta distribution are also stated by the comparison with standard success probability. The various applications of the meta distribution to heterogeneous networks are summarized and categorized by different types of technologies. Furthermore, some open issues and future work are discussed to promote the development and application of the meta distribution. Keywords reliability
meta distribution, stochastic geometry, heterogeneous network, success probability, per-link
Citation Yu X L, Cui Q M, Wang Y J, et al. Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution. Sci China Inf Sci, 2020, 63(12): 223301, https://doi.org/10.1007/s11432-020-2875-7
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Introduction
Mobile data services emerged in the 2G era, grew and diversified in the 3G/4G era, and have been rapidly developing in the recent years of 5G [1]. Behind the exponential development of mobile data services, it is the growing demand for diverse user data traffic. 5G features excellent user quality of experience (QoE) and massively greater capacity, and its development and commercial deployment are accelerating at speeds beyond our imagination recently. At the same time, the research of Beyond 5G (B5G) network (in the 6G path) has been starting to carry out [2]. In the past decade of the rapid development of mobile data service, the increase of network capacity mainly comes from the improvement of spectrum efficiency, spectrum resource, and spectrum reuse [3–5]. As the spectrum efficiency approaches the theoretical Shannon limit of a communication channel, in addition to use more precious and scarce spectrum resources, the possible way
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