On the Capacity of a Class of MIMO Cognitive Radios

Sridharan, Srinivasan; Vishwanath, Sriram

doi:10.1109/jstsp.2007.914890

Cited by 104 publications

(70 citation statements)

References 25 publications

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“…The secondary transmitter has multiple antennas, N t , and all other nodes have a single antenna. 2 We assume that channel gains directly connected to nodes are available by exploiting the reciprocity of channels. For example, the secondary transmitter perfectly knows h h h sp , h h h se , h h h ss and the receivers have the relevant receiver-side channel state information.…”

Section: System Modelmentioning

confidence: 99%

“…In fact, R s,max is the maximum achievable rate and corresponds to a case where the beamforming vector is chosen to maximize the secondary rate, namely as the maximum ratio transmission (MRT), matched to the channel 2 In [15], the case of single antenna at the secondary transmitter was studied with a similar concept. When the secondary transmitter has a single antenna, the strategy at the secondary transmitter is limited to the power adjustment.…”

Section: System Modelmentioning

confidence: 99%

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Spectrum Leasing via Cooperation for Enhanced Physical-Layer Secrecy

Lee

Chae

Kang

2013

IEEE Trans. Veh. Technol.

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Spectrum leasing via cooperation refers to the possibility of primary users leasing a portion of the spectral resources to secondary users in exchange for cooperation. In the presence of an eavesdropper, this correspondence proposes a novel application of this concept in which the secondary cooperation aims at improving secrecy of the primary network by creating more interference to the eavesdropper than to the primary receiver. To generate the interference in a positive way, this work studies an optimal design of a beamformer at the secondary transmitter with multiple antennas that maximizes a secrecy rate of the primary network while satisfying a required rate for the secondary network. Moreover, we investigate two scenarios depending upon the operation of the eavesdropper: i) the eavesdropper treats the interference by the secondary transmission as an additive noise (single-user decoding) and ii) the eavesdropper tries to decode and remove the secondary signal (joint decoding). Numerical results confirm that, for a wide range of required secondary rate constraints, the proposed spectrum-leasing strategy increases the secrecy rate of the primary network compared to the case of no spectrum leasing. Index TermsPhysical layer security, secrecy capacity, spectrum leasing, Pareto boundary, power gain region.

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Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Spectrum Leasing via Cooperation for Enhanced Physical-Layer Secrecy

Lee

Chae

Kang

2013

IEEE Trans. Veh. Technol.

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“…In the literature [2], the performance of communication is improved a lot by using an access mode based on space division multiplexing with the technology of space signal processing. The MIMO' capacity is proposed by combining information theory in the literature [4]. With the technology of precoding, the interference from the CU to the PU is effectively restrained or eliminated in the literature [5][6][7][8][9], which would lead to a good system performance, besides, satisfy the restrict of the interference.…”

Section: Introductionmentioning

confidence: 99%

Spatial Domain Adaptive Transmission Based on Precoding in Cognitive MIMO System

Wang¹,

Zhu²,

Tang³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Abstract-In cognitive radio system, secondary users are difficult to obtain the CSI (channel state information) of the interference channel from the primary users which have absolute right of the spectrum sharing with secondary users due to the unlicensed utilization of spectrum resource. In order to guarantee the transparency of secondary transmission to primary transmission, a so-called "Detect-avoid" transmission mechanism is adopted in traditional cognitive radio system to avoid interference to primary user. However, it performs only in time-domain with inevitable underutilization of spectrum opportunities. In this paper, MIMO technique is introduced for secondary users to detect the real-time state information of the interference channel with its own cognitive capability and to a just the precoding matrix adaptively using the detection results, so that orthometric transmission with primary users in spatial domain is realized. Simulation result shows that the performance of the proposed algorithm without the knowledge of interference channel's CSI can approach to precoding algorithm based on perfect CSI.

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“…The concept of multiple-input multiple-output (MIMO) CR systems has triggered a lot of interest in the research community [2]- [5]. This is because multiple antennas can be used to provide the traditional rate benefits in addition to having a role in effective interference control at the primary user (PU) receiver (RX) [3].…”

Section: Introductionmentioning

confidence: 99%

MIMO Cognitive Radios with Antenna Selection

Hanif

Smith

Taylor

et al. 2011

IEEE Trans. Wireless Commun.

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Abstract-With the ever increasing interest in multiple-input multiple-output (MIMO) cognitive radio (CR) systems, reducing the costs associated with RF-chains at the radio front end becomes a very important factor. In this paper, we propose two solutions to the problem of joint transmit-receive antenna selection with the objective of maximizing data rates and satisfying interference constraints at the primary user (PU) receiver. In the first method we approximate the original non-convex optimization problem with an iterative way of solving a series of smaller convex problems. Then we present a novel, norm-based transmit receive antenna selection technique that simultaneously improves throughput while maintaining the PU interference constraints. We show that this simple approach yields near optimal results with massive complexity reductions. In addition to making a performance comparison between the proposed approaches and the optimal exhaustive search approach, we establish that antenna selection is a promising option for future MIMO CR devices.

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On the Capacity of a Class of MIMO Cognitive Radios

Cited by 104 publications

References 25 publications

Spectrum Leasing via Cooperation for Enhanced Physical-Layer Secrecy

Spectrum Leasing via Cooperation for Enhanced Physical-Layer Secrecy

Spatial Domain Adaptive Transmission Based on Precoding in Cognitive MIMO System

MIMO Cognitive Radios with Antenna Selection

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