For a fading Gaussian multiple access channel with user cooperation, we obtain the power allocation policies that maximize the average rates achievable by block Markov superposition coding, subject to average power constraints. The optimal policies result in a coding scheme that is simpler than the one for a general multiple access channel with generalized feedback. This simpler coding scheme also leads to the possibility of formulating an otherwise non-concave optimization problem as a concave one. Using the perfect channel state information available at the transmitters to adapt the powers, we demonstrate gains over the achievable rates for existing cooperative systems.Publisher's Versio
Abstract—We develop jointly optimal power control and primary-secondary user partnering strategies f...
Abstract—In this letter, a power-control scheme for maximum sum-rate is proposed for the fading mult...
International audienceIn this paper, a game theoretic approach is used to derive the optimal power a...
In this chapter, we review the optimal power allocation policies for fading channels in single user ...
In this paper, a new coding scheme for the multiple access chan-nel (MAC) with noisy cooperative lin...
We extend several encoding and decoding techniques from cooperative communications framework, to a c...
For a two user cooperative orthogonal frequency division multiple access (OFDMA) system with full ch...
We consider the decentralized power optimization problem for Gaussian fast-fading multiple access ch...
Cooperative coding is a communication paradigm that pools distributed resources of different nodes i...
For a cooperative orthogonal frequency division multiple access (OFDMA) system with two transmitters...
We derive the optimal power control strategy to maximize the sum rate of a multiple access channel w...
Traditionally, the capacity region of a coherent fading multiple access channel (MAC) is analyzed in...
For a cooperative Gaussian multiple access channel (MAC), we propose a new channel adaptive three us...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Abstract—We derive the optimal resource allocation of a practical half-duplex scheme for the Gaussia...
Abstract—We develop jointly optimal power control and primary-secondary user partnering strategies f...
Abstract—In this letter, a power-control scheme for maximum sum-rate is proposed for the fading mult...
International audienceIn this paper, a game theoretic approach is used to derive the optimal power a...
In this chapter, we review the optimal power allocation policies for fading channels in single user ...
In this paper, a new coding scheme for the multiple access chan-nel (MAC) with noisy cooperative lin...
We extend several encoding and decoding techniques from cooperative communications framework, to a c...
For a two user cooperative orthogonal frequency division multiple access (OFDMA) system with full ch...
We consider the decentralized power optimization problem for Gaussian fast-fading multiple access ch...
Cooperative coding is a communication paradigm that pools distributed resources of different nodes i...
For a cooperative orthogonal frequency division multiple access (OFDMA) system with two transmitters...
We derive the optimal power control strategy to maximize the sum rate of a multiple access channel w...
Traditionally, the capacity region of a coherent fading multiple access channel (MAC) is analyzed in...
For a cooperative Gaussian multiple access channel (MAC), we propose a new channel adaptive three us...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Abstract—We derive the optimal resource allocation of a practical half-duplex scheme for the Gaussia...
Abstract—We develop jointly optimal power control and primary-secondary user partnering strategies f...
Abstract—In this letter, a power-control scheme for maximum sum-rate is proposed for the fading mult...
International audienceIn this paper, a game theoretic approach is used to derive the optimal power a...