Transceiver Design for Asymmetric Ultra-Wideband Links

Existing ultra-wideband (UWB) techniques rely on symmetric transmitter and receiver structures, which assume the same complexity level at all nodes throughout the network. In single-band (SB-) UWB, this assumption implies high-rate digital-to-analog (DA) and analog-to-digital (AD) converters at all nodes. In a multi-band (MB-) UWB, this assumption means (multiple) local oscillators and frequency synthesizers at all devices, which are very power consuming and prone to carrier frequency and phase offsets. However, to establish physical communication links between nodes with distinct complexity requirements, asymmetric UWB transceivers need to be designed. This motivates our transceiver designs for the asymmetric UWB links which allow the weak nodes to retain low-complexity at both the Tx and Rx modes, and vice versa (see e.g., [1], [5], [10], [12]).

In asymmetric UWB links, both high-complexity nodes and low-complexity nodes can exist at the transmit end or the receive end. The low-complexity node (LCN) only realizes the simplest single-band transmission with low A/D and D/A conversion rates (see Fig. 1). The high-complexity node (HCN) can be a SB-UWB transceiver with high A/D and D/A conversion rates or a multi-band (MB-) UWB one with multiple local oscillators (see Fig. 2). To develop transmission and reception schemes for asymmetric transceiver pairs, we have established a general system model that enables delineation of the tradeoffs among complexity, performance and rate. Based on this model, we carefully design transceivers that account for different operating rates at individual nodes and ensure seamless network operation. We have proved that the (single-antenna) asymmetric link model can be converted to a multi-input multi-output (MIMO) system model with multiple Tx- and Rx-antennas. This conversion will entail a single processing chain at each node and require only modest modification on symmetric transceivers.

Once the conversion is achieved, the transceiver designs for multi-antenna communications can be readily adopted. This is particularly attractive for UWB communications where complexity is a major concern. In [1], [5]and [12], we show how these transceiver designs can be integrated into our asymmetric link model. Especially, we deploy the geometric mean decomposition (GMD) (see e.g., [11], [13]) approach to achieve optimality in terms of both channel throughput and bit error rate (BER). Our analyses, together with the simulations, confirm the feasibility and effectiveness of our asymmetric UWB links with MIMO techniques.

Fig. 1. Low-complexity Node (a) Transmitter diagram; and (b) Receiver diagram.

Fig. 2. High-complexity Node (a) Transmitter diagram; and (b) Receiver diagram.

 

Orthogonal Space-Time Block-Differential Modulation over Doubly-Selective Channels

 

The doubly-selective channel provides double diversity gains. Multi-input multi-output (MIMO) schemes have long been proved to provide improved capacity. When multiple transmit and/or receive antennas are also employed, spatial diversity also becomes available. If appropriately enabled at the transmitter and effectively collected at the receiver, the 3-dimensional (space-multipath-Doppler) diversity gains can considerably reduce the required SNR to achieve a prescribed error performance. Most of the existing MIMO schemes only consider time invariant flat fading channels. The others consider either time varying flat fading or time invariant multipath channels.  

Recently, basis expansion model (BEM) is proposed to represent a block of time-varying channel coefficients with parsimonious basis coefficients, which enables pilot-assisted coherent and differential schemes for single-input single-output (SISO) systems. In [2], we adopt the BEM channel model but consider a MIMO setup. We develop an orthogonal space-time block-differential scheme over doubly-selective channels. Since the channel is time varying, channel estimation could become not only more complex but also imprecise.  The differential scheme bypasses channel estimation so that it reduces complexity and improves error performance. In addition, the differential scheme saves the bandwidth by not using the pilots for channel estimation. Both our analytical and simulation results show that our proposed approach can collect full diversity gains in three dimensions: space, multipath and Doppler.

 

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This material is based upon work supported by the National Science Foundation under Grant No. 0621879. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.