A single-chip 12.7 Mchips/s digital IF BPSK direct sequence spread-spectrum transceiver in 1.2 μm CMOS

Chien, Charles; Jain, Rajeev; Cohen, E.; Samueli, H.

doi:10.1109/4.340439

Cited by 30 publications

(2 citation statements)

References 9 publications

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“…An adaptive processing gain direct-sequence spreadspectrum transceiver IC [39] based on the architecture in [40] has been developed and implemented in the adaptive radio (see Fig. 11).…”

Section: A Processing-gain Adaptationmentioning

confidence: 99%

Adaptive radio for multimedia wireless links

Chien

Srivastava

Jain

et al. 1999

IEEE J. Select. Areas Commun.

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The quality of wireless links suffers from timevarying channel degradations such as interference, flat-fading, and frequency-selective fading. Current radios are limited in their ability to adapt to these channel variations because they are designed with fixed values for most system parameters such as frame length, error control, and processing gain. The values for these parameters are usually a compromise between the requirements for worst-case channel conditions and the need for low implementation cost. Therefore, in benign channel conditions these commercial radios can consume more battery energy than needed to maintain a desired link quality, while in a severely degraded channel they can consume energy without providing any quality-of-service (QoS). While techniques for adapting radio parameters to channel variations have been studied to improve link performance, in this paper they are applied to minimize battery energy. Specifically, an adaptive radio is being designed that adapts the frame length, error control, processing gain, and equalization to different channel conditions, while minimizing battery energy consumption. Experimental measurements and simulation results are presented in this paper to illustrate the adaptive radio's energy savings.

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“…An adaptive processing gain direct-sequence spreadspectrum transceiver IC [39] based on the architecture in [40] has been developed and implemented in the adaptive radio (see Fig. 11).…”

Section: A Processing-gain Adaptationmentioning

confidence: 99%

Adaptive radio for multimedia wireless links

Chien

Srivastava

Jain

et al. 1999

IEEE J. Select. Areas Commun.

Self Cite

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“…As an example of the compl exity and trade-offs associated with devel opi ng wireless networking al gorithms with wirel ess communication hardware, we experiment with two wireless communication hardware devi ces. We use the Proxim RangeLAN2 wireless frequency hop spread spectrum radi o, which is commercially available, and a custom direct sequence spread spectrum radio, designed and implemented at UCLA [8]. The UCLA radi o is used to support instant infrastructure networki ng through adaptive hardware control and feedback with the networking al gorithms.…”

Section: Wireless Communication Hardwarementioning

confidence: 99%

Mobile wireless network system simulation

1995

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This paper describes an advanced simulation environment which is used to examine, validate, and predict the performance of mobile wireless network systems. This simulation environment overcomes many of the limitations found with analytical models, experimentation, and other commercial network simulators available on the market today. We identify a set of components which make up mobile wireless systems and describe a set of flexible modules which can be used to model the various components and their integration. These models are developed using the Maisie simulation language. By modeling the various components and their integration, this simulation environment is able to accurately predict the performance bottlenecks of a multimedia wireless network system being developed at UCLA, determine the trade-off point between the various bottlenecks, and provide performance measurements and validation of algorithms which are not possible through experimentation and too complex for analysis.

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