TY - JOUR
T1 - Cognitive multiple access channels
T2 - Optimal power allocation for weighted sum rate maximization
AU - Zhang, Lan
AU - Xin, Yan
AU - Liang, Ying Chang
AU - Poor, H. Vincent
N1 - Funding Information:
The work was supported by the National University of Singapore (NUS) under Grants R-263-000-314-101, R-263-000-314-112, and R-263-000-478-112, by a NUS Research Scholarship, and by the U.S. National Science Foundation under Grants ANI-03-38807 and CNS-06-25637. This work was presented in part at Vehicular Technology Conference (VTC), Singapore, May, 2008. Digital Object Identifier 10.1109/TCOMM.2009.09.080145
PY - 2009
Y1 - 2009
N2 - Cognitive radio is an emerging technology that shows great promise to dramatically improve the efficiency of spectrum utilization. This paper considers a cognitive radio model, in which the secondary network is allowed to use the radio spectrum concurrently with primary users (PUs) provided that interference from the secondary users (SUs) to the PUs is constrained by certain thresholds. The weighted sum rate maximization problem is studied under interference power constraints and individual transmit power constraints, for a cognitive multiple access channel (C-MAC), in which each SU having a single transmit antenna communicates with the base station having multiple receive antennas. An iterative algorithm is developed to efficiently obtain the optimal solution of the weighted sum rate problem for the C-MAC. It is further shown that the proposed algorithm, although developed for single channel transmission, can be extended to the case of multiple channel transmission. Corroborating numerical examples illustrate the convergence behavior of the algorithm and present comparisons with other existing alternative algorithms.
AB - Cognitive radio is an emerging technology that shows great promise to dramatically improve the efficiency of spectrum utilization. This paper considers a cognitive radio model, in which the secondary network is allowed to use the radio spectrum concurrently with primary users (PUs) provided that interference from the secondary users (SUs) to the PUs is constrained by certain thresholds. The weighted sum rate maximization problem is studied under interference power constraints and individual transmit power constraints, for a cognitive multiple access channel (C-MAC), in which each SU having a single transmit antenna communicates with the base station having multiple receive antennas. An iterative algorithm is developed to efficiently obtain the optimal solution of the weighted sum rate problem for the C-MAC. It is further shown that the proposed algorithm, although developed for single channel transmission, can be extended to the case of multiple channel transmission. Corroborating numerical examples illustrate the convergence behavior of the algorithm and present comparisons with other existing alternative algorithms.
KW - Cognitive radio networks
KW - Multiple access channel
KW - Power allocation
KW - Sum rate maximization
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U2 - 10.1109/TCOMM.2009.09.080145
DO - 10.1109/TCOMM.2009.09.080145
M3 - Article
AN - SCOPUS:70350406515
VL - 57
SP - 2754
EP - 2762
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 1558-0857
IS - 9
ER -