1,049 research outputs found
Degrees of Freedom of Full-Duplex Multiantenna Cellular Networks
We study the degrees of freedom (DoF) of cellular networks in which a full
duplex (FD) base station (BS) equipped with multiple transmit and receive
antennas communicates with multiple mobile users. We consider two different
scenarios. In the first scenario, we study the case when half duplex (HD)
users, partitioned to either the uplink (UL) set or the downlink (DL) set,
simultaneously communicate with the FD BS. In the second scenario, we study the
case when FD users simultaneously communicate UL and DL data with the FD BS.
Unlike conventional HD only systems, inter-user interference (within the cell)
may severely limit the DoF, and must be carefully taken into account. With the
goal of providing theoretical guidelines for designing such FD systems, we
completely characterize the sum DoF of each of the two different FD cellular
networks by developing an achievable scheme and obtaining a matching upper
bound. The key idea of the proposed scheme is to carefully allocate UL and DL
information streams using interference alignment and beamforming techniques. By
comparing the DoFs of the considered FD systems with those of the conventional
HD systems, we establish the DoF gain by enabling FD operation in various
configurations. As a consequence of the result, we show that the DoF can
approach the two-fold gain over the HD systems when the number of users becomes
large enough as compared to the number of antennas at the BS.Comment: 21 pages, 16 figures, a shorter version of this paper has been
submitted to the IEEE International Symposium on Information Theory (ISIT)
201
On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection
In this work, we take the initiative in studying the fundamental tradeoff
between communication and quickest change detection (QCD) under an integrated
sensing and communication setting. We formally establish a joint communication
and sensing problem for quickest change detection. Then, by utilizing constant
subblock-composition codes and a modified QuSum detection rule, which we call
subblock QuSum (SQS), we provide an inner bound on the fundamental tradeoff
between communication rate and change point detection delay in the asymptotic
regime of vanishing false alarm rate. We further provide a partial converse
that matches our inner bound for a certain class of codes. This implies that
the SQS detection strategy is asymptotically optimal for our codes as the false
alarm rate constraint vanishes. We also present some canonical examples of the
tradeoff region for a binary channel, a scalar Gaussian channel, and a MIMO
Gaussian channel
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