Coded-Sequence Self-Encoded Spread Spectrum Communications

Duraisamy, Poomathi; Nguyen, Lim

doi:10.1109/glocom.2009.5425827

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…Since the use of PN code generators is obviated, SESS can simplify multirate transmissions with variable processing gains in multimedia applications [3]. In previous works, we have shown that the modulation memory in SESS can yield signal gain in AWGN channels [4]. We have also demonstrated that the inherent temporal diversity in SESS modulation can be exploited with iterative detection to significantly improve the system performance over timevarying fading channels [5].…”

Section: Introductionmentioning

confidence: 94%

MIMO Self‐Encoded Spread Spectrum with Iterative Detection over Rayleigh Fading Channels

Nguyen

Jang

et al. 2010

Journal of Electrical and Computer Engineering

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Self-encoded spread spectrum (SESS) is a novel communication technique that derives its spreading code from the randomness of the source stream rather than using conventional pseudorandom noise (PN) code. In this paper, we propose to incorporate SESS in multiple-input multiple-output (MIMO) systems as a means to combat against fading effects in wireless channels. Orthogonal space-time block-coded MIMO technique is employed to achieve spatial diversity, and the inherent temporal diversity in SESS modulation is exploited with iterative detection. Simulation results demonstrate that MIMO-SESS can effectively mitigate the channel fading effect such that the system can achieve a bit error rate of 10 −4 with very low signal-to-noise ratio, from 3.3 dB for a 2 × 2 antenna configuration to just less than 0 dB for a 4 × 2 configuration under Rayleigh fading. The performance improvement for the 2 × 2 case is as much as 6.7 dB when compared to an MIMO PN-coded spread spectrum system.

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Section: Introductionmentioning

confidence: 94%

MIMO Self‐Encoded Spread Spectrum with Iterative Detection over Rayleigh Fading Channels

Nguyen

Jang

et al. 2010

Journal of Electrical and Computer Engineering

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“…Notice that the initial synchronization and a complete knowledge of the delay-register structure could make data recovery difficult for an unintended receiver. By substituting (6) and (3) into the correlation estimate given in (7), we have…”

Section: B Dynamic Fading Channelmentioning

confidence: 99%

“…Coded-sequence self-encoded spread spectrum derives its spreading codes from the random information source rather than using traditional pseudo-random codes. In recent work, we have shown that with iterative detection, the memory in CS-SESS modulated signals not only can deliver a 4.7dB gain in AW GN channels, but also can be exploited to achieve time diversity and robust bit-error rate (BER) performance in fading channels [3]. In this paper, transmitter precoding, as an alternative to combat the channel dynamic of CS-SESS communications in dynamic fading channel is proposed and analyzed.…”

Section: Introductionmentioning

confidence: 99%

Power controlled coded-sequence self-encoded spread spectrum communications

Duraisamy

Chi

Jang

et al. 2011

2011 45th Annual Conference on Information Sciences and Systems

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In this paper, we propose to apply power control to coded-sequence self-encoded spread spectrum (CS-SESS) com munications in dynamic fading channels. We determine the statis tical characteristics of the power enhancement in the transmitter due to power control and show that the proposed approach improves the power efficiency in mobile cellular systems. In addition, we propose to mitigate self interference in CS SESS by exploiting the information that the transmitter obtains, through feedback training sequences, about the de-spreading code in the receiver. The results show that the mitigation is significant even with only selective training chips from the de-spreading sequence. Similar improvement can be achieved with feed-forward training sequences to the receiver about the spreading code in the transmitter.

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