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Cognitive radio (CR) and Multiple Input Multiple Output (MIMO) technologies represent emerging and promising technologies for providing high spectrum utilization, and maximizing the capacity to face the huge demand for wireless applications. In this context, a transmission scheme that exploits both CR and MIMO is presented, together with its optimization to increase the system goodput as well as to...
In this paper, a joint adaptive modulation and multiple-input multiple-output (MIMO) transmission scheme is considered. An efficient use of radio resources shall be based on channel state information at the transmitter (CSIT) to adjust the modulation order and MIMO transmission mode. A new suboptimal algorithm is proposed for link adaptation in a MIMO-OFDMA cellular system under spatially correlated...
A decentralized link adaptation algorithm designed for multi-link MIMO interference systems to jointly optimize the power and the number of links is presented in this contribution. Game theory is adapted and used for both allocating resources and admitting users (i.e. with embedded congestion control). The MIMO interference system is mapped into a multi-player game. The solution of the proposed game...
We propose a jointly designing transceiver for time-varying multiple-input multiple-output (MIMO) systems. Based on geometric mean decomposition (GMD), the scheme decomposes a MIMO channel into parallel subchannels with identical capacities and each subchannel meets certain BER constraints. Thus the power loading and modulation/demodulation process are particularly simplified because of the identical...
A novel power allocation and adaptive modulation algorithm for MIMO systems over time varying fading channel is proposed. Using water-filling theory in space domains, the optimal power allocation and adaptive MQAM by singular values of the channel transfer matrix with average transmit power constraint is obtained. The spectral efficiency is analyzed. The theoretic analysis and simulation results show...
In this paper we derive optimal power allocation scheme that minimizes bit error rate (BER) while satisfying the average power constraint and peak to average power ratio (PAPR) constraint (which translates to minimizing the PAPR). The power allocation is done in space and time for multiple-input single-output (MISO) systems over Rayleigh flat fading channels assuming perfect channel state information...
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