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- Zander, K.K., et al.
(författare)
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Indigenous cultural and natural resources management and mobility in Arnhem Land, northern Australia
- 2014
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Ingår i: Human Ecology. - : Springer. - 0300-7839 .- 1572-9915. ; 42:3, s. 443-453
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Tidskriftsartikel (refereegranskat)abstract
- Many programmes formally engage Australian Indigenous people in land and sea management to provide environmental services. There are also many Indigenous people who 'look after country' without rewards or payment because of cultural obligations. We investigated how Indigenous peoples' mobility in and around two communities (Maningrida and Ngukurr) is affected by their formal or informal engagement in cultural and natural resource management (CNRM). Understanding factors that influence peoples' mobility is important if essential services are to be provided to communities efficiently. We found that those providing formal CNRM were significantly less likely to stay away from settlements than those 'looking after their country' without payment or reward. Paying Indigenous people to engage with markets for CNRM through carbon farming or payments for environmental services (PES) schemes may alter traditional activities and reduce mobility, particularly movements away from communities that extend the time spent overnight on country. This could have both environmental and social consequences that could be managed through greater opportunities for people to engage in formal CNRM while living away from communities and greater recognition of the centrality of culture to all Indigenous CNRM, formal or otherwise.
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- Han, Sang Wook, et al.
(författare)
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An asynchronous distributed power allocation scheme for sum-rate maximization on cognitive GMACs
- 2013
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Ingår i: Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013. - New York : IEEE. - 9781467356169 ; , s. 6549031-
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Konferensbidrag (refereegranskat)abstract
- This paper considers an asynchronous distributed power allocation scheme for sum-rate-maximization under cognitive Gaussian multiple access channels (GMACs), where primary users and secondary users may communicate under mutual interference with the Gaussian noise. Formulating the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple distributed method to find a solution using iterative Jacobian method instead of using centralized schemes. A totally asynchronous distributed power allocation for sum-rate maximization on cognitive GMACs is suggested. Simulation results show that this distributed algorithm for power allocation converges to a fixed point and the solution achieves almost the same performance as exhaustive search.
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- Han, S. -W, et al.
(författare)
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Distributed power allocation for cooperative access in cognitive radios to guarantee QoS for cell edge primary users
- 2013
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Ingår i: Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013. - New York : IEEE. - 9781467356169 ; , s. 6549027-
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Konferensbidrag (refereegranskat)abstract
- Cognitive radio (CR) systems have been proposed for efficient usage of spare spectrum licensed to primary systems. This leads to the issue of providing as much spectrum to CR users as possible while not degrading the quality of service (QoS) of primary users of the spectrum. This paper proposes a novel cooperation scheme between primary and CR users to guarantee QoS of primary users up to the cell edge while making the licensed spectrum available for opportunistic access by the CR users. We suggest that the primary users at the cell edge, who have poor QoS, should allow secondary users to access their spectrum, while at the same time, the secondary users would help to enhance the primary users QoS using superposition coding on the primary users transmissions. Thus the proposed method can provide a so called 'win-win strategy' by benefiting both primary and CR users. The proposed cooperative access scheme in cognitive radios solves efficiently the sum-rate maximization problem on cognitive Gaussian Multiple Access Channels (GMACs) for power allocation of primary systems that cooperates with CR systems in a distributed fashion. We solved the problem using iterative Jacobian method in a distributed manner. Numerical results show that the QoS of primary users at the cell edge is improved by the proposed cooperative access scheme.
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