An Interior-Point Algorithm for Nonconvex Nonlinear Programming
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Utilization and fairness in spectrum assignment for opportunistic spectrum access
Mobile Networks and Applications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Spectrum management for interference-limited multiuser communication systems
IEEE Transactions on Information Theory
Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
On the capacity of multiuser MIMO networks with interference
IEEE Transactions on Wireless Communications
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
In this paper, we develop a general mathematical framework to incorporate dynamic spectrum access in a multiuser MIMO network. This framework is particularly helpful in computing the maximum achievable system capacity of a resulting multiple-band multiuser MIMO network. The mathematical formulation to maximize the system capacity is shown to be quite similar to that of a well studied single-band multiuser MIMO network. It is further shown that the capacity maximization problem is equivalent to finding the optimal eigenvalues of the input symbol covariance matrices of the users in each frequency band. Due to the dependence of the eigenvalues on the physical characteristics of the system, such as orientation of the antennas and the channel conditions, it is difficult to achieve their optimal values in general. Because of this difficulty in achieving the optimal capacity, we also consider the suboptimal MIMO techniques (specifically beamforming) and study their capacity performance in a multiple-band multiuser MIMO system.