A Simple and Efficient Antenna Subset Selection Scheme for MIMO Systems

Kumar, Sanjay; Kasilingam, D.

doi:10.1109/icassp.2006.1661091

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…D represents the distance between neighbor nodes and P indicates the packet drop loss ratio when using a single transmit antenna. When D ∈ (0, 7], D ∈ (7,14], D ∈ (14, 20], P = 0.1, 0.2, 0.3 respectively. Each measurement is averaged from 10 independent runs.…”

Section: Numerical Resultsmentioning

confidence: 98%

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A Transmit Antenna Selection for MIMO Wireless Ad-Hoc Networks in Lossy Environment

Zhang

Huang

et al. 2009

2009 15th International Conference on Parallel and Distributed Systems

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Because of rapid channel attenuation in lossy environment, there is a severe packet drop loss problem in wireless ad hoc networks. Though MIMO (Multi-Input MultiOutput) technology can alleviate this effect greatly, it will result in higher transmission energy depletion as using more transmit antennas. Lots of schemes have been proposed to reduce such energy cost by transmit antenna selection. However, most of those only consider QoS requirements between neighbor nodes while ignoring QoS requirements for entire network. In this paper, we investigate an energy-efficient transmit antenna selection problem for many-to-one communications, while guaranteeing a certain packet drop loss ratio from any node to the sink. We prove that this problem (Transmit Antenna Selection Problem, TASP) is NP-hard. Thus, a greedy algorithm TASA (Transmit Antenna Selection Algorithm) is proposed to solve this problem. This paper also prove the correctness of the proposed algorithm and the time complexity of TASA algorithm is O(|E| + |V | · MT ), where |V | represents the number of nodes, |E| indicates the number of links and MT is the number of transmit antennas on each node, respectively. Our numerical results show that in a 100 node network, TASA can reduce transmission energy cost by 44.3% on average.

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Section: Numerical Resultsmentioning

confidence: 98%

“…As the increase of the number of transmit antennas, this depletion will be unacceptable. Lots of researchers have realized this problem and many algorithms [7] [15] have been proposed to solve this problem. These schemes reduce energy cost mainly by selecting part of transmit antennas for data transmissions.…”

Section: Introductionmentioning

confidence: 99%

A Transmit Antenna Selection for MIMO Wireless Ad-Hoc Networks in Lossy Environment

Zhang

Huang

et al. 2009

2009 15th International Conference on Parallel and Distributed Systems

View full text Add to dashboard Cite

show abstract

A Simple and Efficient Antenna Subset Selection Scheme for MIMO Systems

Cited by 1 publication

References 7 publications

A Transmit Antenna Selection for MIMO Wireless Ad-Hoc Networks in Lossy Environment

A Transmit Antenna Selection for MIMO Wireless Ad-Hoc Networks in Lossy Environment

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