On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
IEEE Transactions on Information Theory
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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Dynamic channel resource allocation (DCA) exploiting wideband multiuser diversity can provide data transmission with very high spectral efficiency by scheduling at each dimension (time, frequency, space) the user with the best channel conditions. The main issue arising from this allocation is fairness. Base station or users have to wait until their channel is most favorable to transmit. It is commonly considered that fairness comes at the cost of a significant system capacity penalty. In this paper we show that multiuser diversity, and thus an increase of aggregate data rates with the size of the user population, can still be successfully achieved even with deterministic channel use and that even under a hard fairness constraint we can achieve performance which comes close to those of the optimal unfair policy for K-user systems with K parallel sub-channels. We propose and compare different algorithms which perform channel allocation yielding variable-rate/constant-power (Max-Min allocation and maximum total rate allocation) and fixed-rate/variable-power (fixed rate allocation). We show the effect of system bandwidth (and thus sub-channel correlation) on wideband multiuser diversity. This paper also investigates the performance of combined orthogonal channel and antenna allocation algorithms in multiple-antenna multi-channel systems. We extend the proposed Max-Min allocation algorithm to the multiple-antenna systems and compare its performance in two different transmission scenarios (spatial multiplexing and space time coding). An extension of the Max-Min allocation algorithm to the general case of an arbitrary number of users is also given. The proposed techniques are applicable, for instance, in orthogonal frequency division multiple-access (OFDMA) systems with dynamic sub-carrier allocation.