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DTSTAMP:20211207T055409Z
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DTSTART;TZID=America/Chicago:20211115T145200
DTEND;TZID=America/Chicago:20211115T150000
UID:submissions.supercomputing.org_SC21_sess346_ws_indisc105@linklings.com
SUMMARY:Poster Talk:  Impact of Multi-Connectivity on Channel Capacity and
  Outage Probability in Wireless Networks
DESCRIPTION:Workshop\n\nPoster Talk:  Impact of Multi-Connectivity on Chan
 nel Capacity and Outage Probability in Wireless Networks\n\nWeedage\n\nMul
 ti-connectivity facilitates higher throughput, shorter delay, and lower ou
 tage probability for a user in a wireless network. Considering these promi
 ses, a rationale policy for a network operator would be to implement multi
 -connectivity for all of its users. In this research, we investigate wheth
 er the promises of multi-connectivity also hold in such a setting where al
 l users of a network are connected through multiple links in the downlink.
  In particular, we consider a wireless network where every user connects t
 o its k closest base stations. \n\nUsing a framework of stochastic geometr
 y and probability theory, we obtain analytic expressions for per-user thro
 ughput and outage probability of k-connectivity networks under several fai
 lure models. In contrast to the conclusions of previous research, our anal
 ysis shows that per-user throughput always decreases with increasing k. Ho
 wever, multi-connected networks are more resilient against failures than s
 ingle connected networks as reflected with lower outage probability. Moreo
 ver, multi-connectivity leads to higher fairness among the users in terms 
 of their throughput.  Consequently, we conclude that rather than implement
 ing multi-connectivity for all users, a network operator should consider i
 t for the users who would benefit from additional links the most, e.g., ce
 ll edge users.\n\nTag: Big Data, Cloud and Distributed Computing, Data Ana
 lytics, Data Management, Datacenter, Networks, Performance, Quantum Comput
 ing\n\nRegistration Category: Workshop Reg Pass
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