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Remote Participation
Poster Talk: Impact of Multi-Connectivity on Channel Capacity and Outage Probability in Wireless Networks
Event Type
Big Data
Cloud and Distributed Computing
Data Analytics
Data Management
Quantum Computing
Registration Categories
TimeMonday, 15 November 20212:52pm - 3pm CST
DescriptionMulti-connectivity facilitates higher throughput, shorter delay, and lower outage probability for a user in a wireless network. Considering these promises, a rationale policy for a network operator would be to implement multi-connectivity for all of its users. In this research, we investigate whether the promises of multi-connectivity also hold in such a setting where all users of a network are connected through multiple links in the downlink. In particular, we consider a wireless network where every user connects to its k closest base stations.

Using a framework of stochastic geometry and probability theory, we obtain analytic expressions for per-user throughput and outage probability of k-connectivity networks under several failure models. In contrast to the conclusions of previous research, our analysis shows that per-user throughput always decreases with increasing k. However, multi-connected networks are more resilient against failures than single connected networks as reflected with lower outage probability. Moreover, multi-connectivity leads to higher fairness among the users in terms of their throughput. Consequently, we conclude that rather than implementing multi-connectivity for all users, a network operator should consider it for the users who would benefit from additional links the most, e.g., cell edge users.
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