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AuthorChun, Young Jin
AuthorCotton, Simon L.
AuthorHasna, Mazen O.
AuthorGhrayeb, Ali
Available date2021-03-25T11:33:35Z
Publication Date2016
Publication NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
ResourceScopus
URIhttp://dx.doi.org/10.1109/PIMRC.2016.7794670
URIhttp://hdl.handle.net/10576/18000
AbstractFuture wireless networks are expected to achieve higher data rates and ubiquitous coverage by seamless cooperation among diverse network technologies. However, it also increases the risk of co-channel interference and introduces the possibility of correlation in the aggregated interference. To address this problem, we adopt a stochastic geometry based approach by assuming that the interfering nodes are randomly distributed according to a Poisson point process (PPP). Using this approach, we derive closed-form expressions for the successful transmission probability and local delay in relay networks with correlated interference. Additionally, we find the optimal transmission probability p that jointly maximizes the successful transmission probability and minimizes the local delay. Numerical results are provided to confirm that the proposed joint optimization strategy achieves significant performance gains compared to conventional schemes.
SponsorThis work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) under Grant References EP/H044191/1 and EP/L026074/1, and in part by the NPRP Grant 4-1119-2-427 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCochannel interference
Cooperative communication
Geometry
Probability
Radio communication
Relay control systems
Stochastic systems
Closed-form expression
Correlated interference
Future wireless networks
Local delays
Poisson point process
Relay network
Stochastic geometry
Transmission probabilities
Internet protocols
TitleJoint optimization of throughput and delay over PPP interfered relay networks
TypeConference Paper


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