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Multiple access schemes in which the transmitting nodes are allowed to cooperate have the potential to provide higher quality of service than conventional schemes. In the class of pair-wise cooperative multiple access schemes in which channel state information is available at the transmitters, the allocation of transmission power plays a key role in the(More)
We study the problem of jointly allocating power and the channel resource of an orthogonal multiple access relay systems in order to maximize the achievable rate region. Four relaying strategies are considered: regenerative decode-and- forward (RDF), non-regenerative decode-and-forward (NDF), amplify-and-forward (AF), and compress-and-forward (CF). For RDF(More)
Multiple access schemes in which the transmitting nodes are allowed to cooperate have the potential to provide higher quality of service than conventional schemes. In the class of pairwise cooperative multiple access schemes in which channel state information is available at the transmitters, the allocation of transmission power plays a key role in the(More)
We consider the jointly optimal allocation of transmission power and channel resources (such as time and bandwidth) for an orthogonal amplify-and-forward (AF) pairwise cooperation scheme. In particular, we derive a simple efficient algorithm for determining the joint allocations required to operate at any point on the boundary of the achievable rate region.(More)
This paper considers a multiple-input–multiple-output (MIMO) wireless communication scenario in which the channel follows a block-fading model with a general spatially correlated complex Gaussian distribution with nonzero mean. We derive an explicit characterization of the (ergodic) rate-optimal input covariance for systems that operate at low(More)
Exploiting Blind Interference Alignment in Cellular Systems Maximo Morales Cespedes, Jorge Plata Chaves, Dimitris Toumpakaris, Ana Garcia Armada University Carlos III of Madrid (Spain), University of Patras (Greece) Theoretical Analysis for Learning-Assisted Rendezvous Channel for Cognitive Radio Takayuki Yamakita, Osamu Takyu, Takeo Fujii, Fumihito(More)
In this paper we consider multicast systems that use layered source coding with successive refinement in a Rayleigh fading environment. For this kind of systems, we optimally allocate the transmission power, and hence the decoding threshold of each layer, in order to maximize the expected satisfaction defined by a utility function of the decoded rates of(More)
We consider the jointly optimal allocation of the radio resources for a two-user orthogonal amplify-and-forward (AF) cooperation scheme. In particular, we derive a simple efficient algorithm for determining the power and channel resource allocations required to operate at any point on the boundary of the achievable rate region. The algorithm is based on two(More)