Wireless systems and interference avoidance
IEEE Transactions on Wireless Communications
Iterative transmitter and receiver optimization for CDMA networks
IEEE Transactions on Wireless Communications
Codeword optimization for uplink CDMA dispersive channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Optimal sequences and sum capacity of synchronous CDMA systems
IEEE Transactions on Information Theory
Iterative construction of optimum signature sequence sets in synchronous CDMA systems
IEEE Transactions on Information Theory
CDMA codeword optimization: interference avoidance and convergence via class warfare
IEEE Transactions on Information Theory
A generalized minimum-mean-output-energy strategy for CDMA systems with improper MAI
IEEE Transactions on Information Theory
Ensuring convergence of the MMSE iteration for interference avoidance to the global optimum
IEEE Transactions on Information Theory
Signature sequence adaptation for DS-CDMA with multipath
IEEE Journal on Selected Areas in Communications
Joint Receiver and Transmitter Optimization for Energy-Efficient CDMA Communications
IEEE Journal on Selected Areas in Communications
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The issue of non-cooperative transceiver optimization in the uplink of a multiuser wireless data network with widely linear detection at the receiver is considered in this paper. While previous work in this area has focused on a simple real signal model, in this paper a baseband complex representation of the data is used, so as to properly take into account the I and Q components of the received signal. For the case in which the received signal is improper, a widely-linear reception structure, processing separately the data and their complex conjugates, is considered. The convergence of the well-known minimum mean square error (MMSE) iteration for spreading code adaptation is studied for the case in which widely-linear detection is used at the receiver. Interestingly, it is also found that spreading code optimization coupled with widely-linear filtering permits supporting, with no multiuser interference, a number of users that is twice the processing gain. Numerical results corroborate the validity of the theoretical analysis, and show that exploiting the improper nature of the data in non-cooperative resource allocation brings remarkable performance improvements in multiuser wireless systems.