The capacity of a neural network to absorb information is limited by its number of parameters. Conditional computation, where parts of the network are active on a per-example basis, has been proposed in theory as a way of dramatically increasing model capacity without a proportional increase in computation. In practice, however, there are significant algorithmic and performance challenges. In t...

Network-wide air traffic flow management (ATFM) is an effective way to alleviate demand-capacity imbalances globally and thereafter reduce airspace congestion and flight delays. The conventional ATFM models assume the capacities of airports or airspace sectors are all predetermined. However, the capacity uncertainties due to the dynamics of convective weather may make the deterministic ATFM mea...

The conventional definitions of the source coding rate and of channel capacity require the existence of reliable codes for all sufficiently large block lengths. Alternatively, if it is required that good codes exist for infinitely many block lengths, then optimistic definitions of source coding rate and channel capacity are obtained. In this work, formulas for the optimistic minimum achievable ...

In this paper we propose two equalization methods for orthogonal frequency-division multiplexing (OFDM) modulation. These methods are intended to be alternatives to the known cyclic prefix equalization (CPE) method, and are derived using ideas from subband identification. The first proposed method is called subband equalization (SBE) and the second one is called enhanced cyclic prefix equalizat...

In visual secret sharing (VSS) schemes, a secret image can be visually revealed from overlapping shadow images without additional computations. However, the contrast of reconstructed image is much lost. Employing reversing operation to reverse black and white pixels as well as increasing encoding runs is an effective way to improve the contrast. A novel VSS scheme with reversing is presented in...

We revisit previous analyses on the computation of the maximum mutual information between a genetic sequence and its mutated versions down the generations, taking into account the protein translation mechanism of the genetic machinery. This amounts to the application of Shannon’s capacity to the study of the transmission of genetic information. Studies on this subject were started by Yockey and...

Recent work has considered the possibility of utilizing symbolic representations of controlled chaotic orbits for digital communication. We argue that dynamically a coding scheme usually leads to trajectories that live on a nonattracting but noise-resisting chaotic saddle embedded in the chaotic attractor. We present analyses and numerical computation which indicate that the channel capacity of...

Wireless industry nowadays is facing two major challenges: 1) how to support the vertical industry applications so that to expand the wireless industry market and 2) how to further enhance device capability and user experience. In this paper, we propose a technology framework to address these challenges. The proposed technology framework is based on end-to-end vertical and horizontal slicing, w...

Here, we study the capacity of a quantum channel, assuming linear optical encoding, as a function of available photons and optical modes. First, we observe that substantial improvement is made possible by not restricting ourselves to a rail-encoded qubit basis. Then, we derive an analytic formula for general channel capacity and show that this capacity is achieved without requiring the use of e...

Multicast-based data communication is an efficient communication scheme especially in multihop ad hoc networks where the MAC layer is based on one-hop broadcast from one source to multiple receivers. The problem of resource allocation for a set of homogeneous multicast sessions over multihop wireless network is addressed. An iterative algorithm is proposed that achieves the optimal rates for a ...