• DocumentCode
    995468
  • Title

    On Capacity Under Receive and Spatial Spectrum-Sharing Constraints

  • Author

    Gastpar, Michael

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
  • Volume
    53
  • Issue
    2
  • fYear
    2007
  • Firstpage
    471
  • Lastpage
    487
  • Abstract
    Capacity is often studied under constraints on the channel input signals. This paper investigates the behavior of capacity when constraints are placed on the channel output signal (as well as generalizations thereof). While such a change in perspective leaves the point-to-point problem (essentially) unchanged, the main conclusion is that in certain network scenarios, including multiple-access and relay situations, both the structure of the problem and the conclusions change. For example, capacity results are found for the many-user Gaussian multiple-access channel (MAC) with arbitrarily dependent sources, cooperation, or feedback, and for the nondegraded Gaussian relay network. The investigations are motivated by recent questions arising in spectrum sharing and dynamic spectrum allocation: Multiple independent networks share the same frequency band, but are spatially mostly disjoint. One approach to grant coexistence is via spatial interference power restrictions, imposed at the network level, rather than at the device level. The corresponding capacity question is posed and partially answered in this paper
  • Keywords
    Gaussian channels; channel capacity; multi-access systems; Gaussian multiple-access channel; Gaussian relay network; MAC; channel capacity; dynamic spectrum allocation; multiple independent networks; spatial interference power restriction; spectrum-sharing constraint; AWGN; Cognitive radio; Communication channels; FCC; Feedback; Interference constraints; Power measurement; Radio spectrum management; Relays; Transmitters; Capacity; cognitive radio; multiple-access channel (MAC); relay channel; sensor network; separation theorem;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.889016
  • Filename
    4069138