979 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
Joint User Scheduling and Power optimization in Full-Duplex Cells with Successive Interference Cancellation
This paper considers a cellular system with a full-duplex base station and
half-duplex users. The base station can activate one user in uplink or downlink
(half-duplex mode), or two different users one in each direction simultaneously
(full-duplex mode). Simultaneous transmissions in uplink and downlink causes
self-interference at the base station and uplink-to-downlink interference at
the downlink user. Although uplink-to-downlink interference is typically
treated as noise, it is shown that successive interference decoding and
cancellation (SIC mode) can lead to significant improvement in network utility,
especially when user distribution is concentrated around a few hotspots. The
proposed temporal fair user scheduling algorithm and corresponding power
optimization utilizes full-duplex and SIC modes as well as half-duplex
transmissions based on their impact on network utility. Simulation results
reveal that the proposed strategy can achieve up to 95% average cell throughput
improvement in typical indoor scenarios with respect to a conventional network
in which the base station is half-duplex.Comment: To be appeared in IEEE Asilomar Conference on Signals, Systems, and
Computers, 201
- …