Noncoherent Capacity of Underspread Fading Channels

Abstract

We derive bounds on the noncoherent capacity of wide-sense stationary uncorrelated scattering (WSSUS) channels that are selective both in time and frequency, and are underspread, i.e., the product of the channel's delay spread and Doppler spread is small. For input signals that are peak constrained in time and frequency, we obtain upper and lower bounds on capacity that are explicit in the channel's scattering function, are accurate for a large range of bandwidth and allow to coarsely identify the capacity-optimal bandwidth as a function of the peak power and the channel's scattering function. We also obtain a closed-form expression for the first-order Taylor series expansion of capacity in the limit of large bandwidth, and show that our bounds are tight in the wideband regime. For input signals that are peak constrained in time only (and, hence, allowed to be peaky in frequency), we provide upper and lower bounds on the infinite-bandwidth capacity and find cases when the bounds coincide and the infinite-bandwidth capacity is characterized exactly. Our lower bound is closely related to a result by Viterbi (1967). The analysis in this paper is based on a discrete-time discrete-frequency approximation of WSSUS time- and frequency-selective channels. This discretization explicitly takes into account the underspread property, which is satisfied by virtually all wireless communication channels.

Submitted to the IEEE Transactions on Information Theory

References in corpus (7)

• Capacity of Sparse Multipath Channels in the Ultra-Wideband Regime
• Low SNR Capacity of Noncoherent Fading Channels
• Capacity per Unit Energy of Fading Channels with a Peak Constraint
• Capacity Results for Block-Stationary Gaussian Fading Channels with a Peak Power Constraint
• Multipath Channels of Bounded Capacity
• The SIMO Pre-Log Can Be Larger Than the SISO Pre-Log
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