Collaborative Multisystem Channelization

We present a new approach for enhancing spectrum efficiency by means of multisystem spectrum channelization. The proposed approach incorporates impact between spectrum channelization and exploiting channel state information at transmitter (CSIT). We create disparities in accuracy of CSIT for differe...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2015-10, Vol.14 (10), p.5723-5735
Main Authors: Yen, Pochun, Xie, Baile, Minn, Hlaing
Format: Article
Language:English
Subjects:
Accuracy
Adaptive systems
Boundaries
Channels
Collaboration
Computing time
Demand
Diversity
Doubly-selective channel
Indexes
Interference
Mathematical analysis
Measurement
Multi-system channelization
Reliability
Resource management
Scheduling
Spectrum allocation
Time-varying CSIT accuracy
Wireless communication
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Summary:We present a new approach for enhancing spectrum efficiency by means of multisystem spectrum channelization. The proposed approach incorporates impact between spectrum channelization and exploiting channel state information at transmitter (CSIT). We create disparities in accuracy of CSIT for different systems through frame offsets between the systems such that the time segments of the best CSIT accuracy for different systems are disjoint. We assign more spectrum resources to each system during its duration of best CSIT accuracy. This yields systematic and periodic changing of spectrum boundaries (in contrast to the fixed boundaries of the existing approach) while providing better CSIT accuracy level and larger degrees of freedom in resource allocation and hence higher spectrum efficiency for each system. We formulate the given collaborative multisystem channelization problem, derive the analytical performance metrics (postscheduling average data rate under time-varying CSIT accuracy for several schedulers), and develop the optimally channelized resource maps of the systems. In the basic form, the proposed channelization is designed offline once. We also generalize it into adaptive channelization to accommodate disparities of traffic demands for different systems. Analytical and simulation results corroborate substantial performance gains of the proposed scheme over the existing approach.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2015.2442578