MIMO CDMA antenna system for SINR enhancement

Choi, Ruly Lai-U; Murch, R.D.; Letaief, Khaled B.

doi:10.1109/twc.2003.808961

Cited by 36 publications

(18 citation statements)

References 16 publications

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“…We consider a MIMO CDMA environment [46] [47], where a node needs to transmit a packet to a predetermined neighboring node . To accomplish this, node needs to: i) limit the near-far effect when it transmits to node ; and ii) avoid impairing ongoing communications.…”

Section: Umimo-macmentioning

confidence: 99%

“…4 is obtained through our underwater MIMO module and represents a comparison of the bit error rate (BER) of an underwater acoustic link, against varying values of interference-to-noise ratio ( = , on the horizontal axis), for different values of the signal-to-noise ratio (SNR), with a MIMO diversity, MIMO multiplexing, and SISO system, respectively. We considered a MIMO-CDMA environment [46], [47], with fixed length spreading code length 7, and two transmit and receive antennas. The other simulation parameters are the same as described in [6].…”

Section: Performance Evaluationmentioning

confidence: 99%

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Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Kuo

Melodia

2011

IEEE Trans. Wireless Commun.

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Abstract-The requirements of multimedia underwater monitoring applications with heterogeneous traffic demands in terms of bandwidth and end-to-end reliability are considered in this article. To address these requirements, a new medium access control protocol named UMIMO-MAC is proposed. UMIMO-MAC is designed to i) adaptively leverage the tradeoff between multiplexing and diversity gain according to channel conditions and application requirements, ii) select suitable transmit power to reduce energy consumption, and iii) efficiently exploit the UW channel, minimizing the impact of the long propagation delay on the channel utilization efficiency.To achieve the objectives above, UMIMO-MAC is based on a two-way handshake protocol. Multiple access by simultaneous and co-located transmissions is achieved by using different pseudo-orthogonal spreading codes. An algorithm is proposed that, in a cross-layer fashion, jointly selects optimal transmit power and transmission mode through the cooperation of transmitter and receiver to achieve the desired level of reliability and data rate according to application needs and channel condition. Extensive simulation results show that UMIMO-MAC increases network throughput, decreases channel access delay, and decrease energy consumption compared with existing MAC protocols for UW-ASNs.Index Terms-Underwater acoustic sensor networks, Medium access control, Multiple input multiple output.

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Section: Umimo-macmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Kuo

Melodia

2011

IEEE Trans. Wireless Commun.

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show abstract

“…We consider a MIMO CDMA environment [4] [6], where a node i needs to transmit a packet to a predetermined neighboring node j. To accomplish this, node i needs to: i) limit the near-far effect when it transmits to node j; and ii) avoid impairing ongoing communications.…”

Section: Umimo-macmentioning

confidence: 99%

“…zontal axis), for different values of the signal-to-noise ratio (SNR), with a MIMO diversity, MIMO multiplexing, and SISO system, respectively. We considered a MIMO-CDMA environment [4,6], with fixed length spreading code length 19, and two transmit and receive antennas. The other simulation parameters are the same as described in [21].…”

Section: Performance Evaluationmentioning

confidence: 99%

Medium access control for underwater acoustic sensor networks with MIMO links

Kuo

Melodia

2009

Proceedings of the 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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The requirements of multimedia underwater monitoring applications with heterogeneous traffic demands in terms of bandwidth and end-to-end reliability are considered in this article. To address these requirements, a new medium access control protocol named UMIMO-MAC is proposed. UMIMO-MAC is designed to i) adaptively leverage the tradeoff between multiplexing and diversity gain according to channel conditions and application requirements, ii) select suitable transmit power to reduce energy consumption, and iii) efficiently exploit the UW channel, minimizing the impact of the long propagation delay on the channel utilization efficiency.To achieve the objectives above, UMIMO-MAC is based on a two-way handshake protocol. Multiple access by simultaneous and co-located transmissions is achieved by using different pseudo orthogonal spreading codes. Extensive simulation results show that UMIMO-MAC increases network throughput, decreases channel access delay, and decrease energy consumption compared with existing Aloha-like MAC protocols for UW-ASNs.

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“…A system to enhance signal-to-noise plus noise ratio for Multiple-Input MultipleOutput Code Division Multiple Access (MIMO CDMA) communications in the downlink for frequency-selective fading environments is considered in [7]. The performance of the V-BLAST algorithm combined with multi-user detection in downlink system is evaluated in [8].…”

Section: Introductionmentioning

confidence: 99%

The Behaviour of Vertical Bell Laboratories Layered Space-Time Algorithm Combined with Multiuser Detection Schemes in Wireless Communication System

Bamisaye¹,

Ogidan²,

Osalope³

2011

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This paper provides the performance analysis of multiuser Vertical Bell Laboratories Layered Space-Time (V-BLAST) system receiver structures for Multiple-input Multiple-Output (MIMO) channel at a base station with assumption of perfect channel estimation and perfect timing delay estimation. In MIMO channels the receivers such as decorrelator, Minimum Mean Square Error (MMSE) and Multistage Parallel Interference Cancellation (MPIC) receiver outperform the conventional receiver. Withal, since the multiple antenna interference led to a strong impact on the performance degradation of a multistage interference cancellation receiver, the performance of MPIC receiver was highly degraded based on system loading.

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MIMO CDMA antenna system for SINR enhancement

Cited by 36 publications

References 16 publications

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Medium access control for underwater acoustic sensor networks with MIMO links

The Behaviour of Vertical Bell Laboratories Layered Space-Time Algorithm Combined with Multiuser Detection Schemes in Wireless Communication System

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