Joint rate-and-power allocation for multi-channel spectrum sharing networks
Tsang, Danny H.K.
|Source||Performance evaluation review , v. 36, (2), 2008, p. 113-115|
|Summary||In this abstract, we propose a study on joint rate-and-power allocation problem for multi-channel spectrum sharing networks (SSNs). We formulate this cross-layer optimization problem as a non-cooperative potential game GJRPA in which each user has a coupled two-tuple strategy, i.e., simultaneous rate and multi-channel power allocations. A multi-objective cost function is designed to represent user's awareness of both QoS provisioning and power saving. Using the game-theoretic formulation, we investigate the properties of Nash equilibrium (N.E.) for our GJRPA model, including its existence, and properties of QoS provisioning as well as power saving. Furthermore, a layered structure is derived by applying Lagrangian dual decomposition to GJRPA and a distributed algorithm is proposed to find the N.E. via this structure.|
|Rights||© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM SIGMETRICS Performance Evaluation Review, v. 36, no. 2, September 2008, p. 113-115.|
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