1,931 research outputs found
Opportunistic Scheduling for Full-Duplex Uplink-Downlink Networks
We study opportunistic scheduling and the sum capacity of cellular networks
with a full-duplex multi-antenna base station and a large number of
single-antenna half-duplex users. Simultaneous uplink and downlink over the
same band results in uplink-to-downlink interference, degrading performance. We
present a simple opportunistic joint uplink-downlink scheduling algorithm that
exploits multiuser diversity and treats interference as noise. We show that in
homogeneous networks, our algorithm achieves the same sum capacity as what
would have been achieved if there was no uplink-to-downlink interference,
asymptotically in the number of users. The algorithm does not require
interference CSI at the base station or uplink users. It is also shown that for
a simple class of heterogeneous networks without sufficient channel diversity,
it is not possible to achieve the corresponding interference-free system
capacity. We discuss the potential for using device-to-device side-channels to
overcome this limitation in heterogeneous networks.Comment: 10 pages, 2 figures, to appear at IEEE International Symposium on
Information Theory (ISIT) '1
Interference Channel with Intermittent Feedback
We investigate how to exploit intermittent feedback for interference
management. Focusing on the two-user linear deterministic interference channel,
we completely characterize the capacity region. We find that the
characterization only depends on the forward channel parameters and the
marginal probability distribution of each feedback link. The scheme we propose
makes use of block Markov encoding and quantize-map-and-forward at the
transmitters, and backward decoding at the receivers. Matching outer bounds are
derived based on novel genie-aided techniques. As a consequence, the
perfect-feedback capacity can be achieved once the two feedback links are
active with large enough probabilities.Comment: Extended version of the same-titled paper that appears in IEEE
International Symposium on Information Theory (ISIT) 201
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