Opportunistic scheduling and routing can in principle greatly increase the
throughput of decentralized wireless networks, but to be practical they must do
so with small amounts of timely side information. In this paper, we propose
three techniques for low-overhead distributed opportunistic scheduling (DOS)
and precisely determine their affect on the overall network outage probability
and transmission capacity (TC).

Multi-cell cooperation is a promising approach for mitigating inter-cell
interference in dense cellular networks. Quantifying the performance of
multi-cell cooperation is challenging as it integrates physical-layer
techniques and network topologies. For tractability, existing work typically
relies on the over-simplified Wyner-type models. In this paper, we propose a
new stochastic-geometry model for a cellular network with multi-cell
cooperation, which accounts for practical factors including the irregular
locations of base stations (BSs) and the resultant path-losses.

The tremendous capacity gains promised by space division multiple access
(SDMA) depend critically on the accuracy of the transmit channel state
information. In the broadcast channel, even without any network interference,
it is known that such gains collapse due to interstream interference if the
feedback is delayed or low rate. In this paper, we investigate SDMA in the
presence of interference from many other simultaneously active transmitters
distributed randomly over the network.

Multicast transmission has several distinctive traits as opposed to more
commonly studied unicast networks. Specially, these include (i) identical
packets must be delivered successfully to several nodes, (ii) outage could
simultaneously happen at different receivers, and (iii) the multicast rate is
dominated by the receiver with the weakest link in order to minimize outage and
retransmission.

Multicast transmission, wherein the same packet must be delivered to multiple
receivers, is an important aspect of sensor and tactical networks and has
several distinctive traits as opposed to more commonly studied unicast
networks. Specially, these include (i) identical packets must be delivered
successfully to several nodes, (ii) outage at any receiver requires the packet
to be retransmitted at least to that receiver, and (iii) the multicast rate is
dominated by the receiver with the weakest link in order to minimize outage and
retransmission.

We develop a new metric for quantifying end-to-end throughput in multihop
wireless networks, which we term random access transport capacity, since the
interference model presumes uncoordinated transmissions. The metric quantifies
the average maximum rate of successful end-to-end transmissions, multiplied by
the communication distance, and normalized by the network area.

In this paper, we investigate downlink spatial intercell interference
cancellation (ICIC) to mitigate othercell interference (OCI) using multiple
transmit antennas. We propose an adaptive strategy where multiple base stations
jointly select transmission techniques, including selfish beamforming for the
home user and ICIC for some of the neighboring cells, to maximize the sum
throughput. It is shown that while selfish beamforming is preferred for low
edge signal-to-noise ratio (SNR), ICIC significantly improves both average and
edge throughput when edge SNR is high.