Power Consumption Minimization for MIMO Systems &amp;#x2014; A Cognitive Radio Approach

He, An; Srikanteswara, Srikathyayani; Bae, K.K.; Newman, T. J.; Reed, Jeffrey H.; Tranter, William H.; Sajadieh, M.; Verhelst, Marian

doi:10.1109/jsac.2011.110218

Cited by 30 publications

(22 citation statements)

References 17 publications

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“…the starting values of the powers derived from (10). Hence, if with the necessary SU 1 's transmission power P tx SU1 , obtained from (9) …”

Section: Power Adjustment Phasementioning

confidence: 99%

“…We propose a scheme for MIMO systems where both PUs and SUs are equipped with multiple-antennas. The joint effect of MIMO and Cognitive Radio was investigated in some papers (see [8], [9] and [10]) so to maximize the efficiency in the access procedure. While [8] proposes a decentralize method for accessing the medium among different dimensions, the work in [9] through antenna selection procedures tries to opportunistically reduce the interference due to primary users.…”

Section: Introductionmentioning

confidence: 99%

“…While [8] proposes a decentralize method for accessing the medium among different dimensions, the work in [9] through antenna selection procedures tries to opportunistically reduce the interference due to primary users. The power efficiency is the goal of the work in [10] that stress the spatial dimension in order to minimize the power consumption under constrains on the minimum throughput. A literature scan does not show a single-sub-channel limited opportunistic approach to evaluate the feasibility of the access by secondary nodes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Biagi

Cuomo

2012

2012 IEEE Globecom Workshops

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A critical issue in Cognitive Radio Networks is the interference generated by secondary users when they simultaneously access and transmit over a spectrum portion reserved to licensed users. In this paper, we propose a method that allows to decide whether a pair of unlicensed users can communicate over a licensed spectrum without causing harmful interference at the primary receiver. The proposed solution is fully distributed and is based on opportunistic information acquired via simple CTS/RTS messages exchanged in the system. We show that the solution can be applied when both primary and secondary users are equipped with multiple-antennas. In this way on one side we achieve the coexistence, when possible, of the two kind of users and on the other side, for both of them, we are able to exploit the MIMO paradigm and increase the transmission performance. A result of the proposed scheme is that the access of the secondary nodes, when feasible, is done with transmission powers that are suitably dimensioned in order to not deteriorate the primary users Signal-to-Interference-plus-Noise-Ratio (SINR). To show this we provide a mapping of the areas in the transmission space that are most likely to produce high levels of interference at the primary receiver. From these maps the effects of the interference management and the advantages of the spatial diversity can be appreciated.

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“…the starting values of the powers derived from (10). Hence, if with the necessary SU 1 's transmission power P tx SU1 , obtained from (9) …”

Section: Power Adjustment Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Biagi

Cuomo

2012

2012 IEEE Globecom Workshops

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“…In [2], a novel Nash equilibrium problem based on variational inequality theory is proposed to solve the resource allocation in CR system with the objective to maximize sum rate, but the SINR requirement of SU is not considered. In [3], a power consumption minimization problem is formulated under a sum rate constraint for a cognitive MIMO system. In [4,5], power control problems with the objective of utility maximization are investigated to provide reliable transmission opportunities for SUs.…”

Section: Introductionmentioning

confidence: 99%

Power Control for Cognitive Radio Networks under Imperfect CSI Based on Game Theory

Yang¹,

Wang²,

Tan³

2014

IJCA

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In this paper, the problem of power control for cognitive systems is studied via game theory. The objective is to maximize the sum utility of secondary users (SUs) subject to the primary users (PUs) interference constraints, the transmission power constraints of SUs, and the signal-to-interference-plus-noise ratio (SINR) constraint of each SU. In our earlier work, the problem was formulated as a non-cooperative game under the assumption of perfect channel state information (CSI). Nash equilibrium (NE) is considered as the solution of this game. A distributed algorithm is proposed which can converge to the NE. Due to the limited cooperation between the secondary base station (SBS) and the PU, imperfect CSI between the SBS and the PU is further considered in this work. The problem is formulated as a robust game. As it is difficult to solve the optimization problem in this case

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“…Therefore, at lower capacity thresholds, MIMO configuration schemes of lower cardinality can be used. As the capacity threshold increases, MIMO configuration schemes of higher cardinality are encouraged to be deployed [67].…”

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confidence: 99%

Policies for Carbon Energy Footprint Reduction of Overhead Multiple-Input Multiple-Output High Voltage Broadband over Power Lines Networks

Lazaropoulos

2015

Tr Ren Energy

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The impact of different environmental policies on the broadband performance of overhead multiple-input multiple-output high-voltage/broadband over power lines (MIMO/HV/BPL) networks is investigated in this paper. The examined environmental policies focus on the carbon energy footprint reduction of overhead MIMO/HV/BPL networks while respecting their broadband character. The contribution of this paper is three-fold. First, the spectral and environmental performance of various configurations and topologies of overhead MIMO/HV/BPL networks is assessed with regard to respective spectral efficient (SE) and newly presented environmental efficient (EE) metrics. Second, further insights regarding the performance of overhead MIMO/HV/BPL networks highlight the better spectral and environmental performance of these networks against other today's overhead HV/BPL networks, such as single-input single-output (SISO), single-input multiple-output (SIMO), or multiple-input single-output (MISO) ones. Third, the definition of appropriate environmental policies that optimize the coexistence of the three main sectors of concern, which are the Quality of Service (QoS) requirements, protection of existing radioservices and promotion of environmentally aware limits, is promoted. Towards that direction, the proposed SE/EE trade-off relation of this paper is expected to prove an extremely helpful SE/EE optimization technique.

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Power Consumption Minimization for MIMO Systems — A Cognitive Radio Approach

Cited by 30 publications

References 17 publications

Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Power Control for Cognitive Radio Networks under Imperfect CSI Based on Game Theory

Policies for Carbon Energy Footprint Reduction of Overhead Multiple-Input Multiple-Output High Voltage Broadband over Power Lines Networks

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