Elements of information theory
Elements of information theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Multiuser Detection
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Impact of channel estimation errors on multiuser detection via the replica method
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
IEEE Transactions on Signal Processing
Asymptotic spectral efficiency of multicell MIMO systems with frequency-flat fading
IEEE Transactions on Signal Processing
Distributed Decoding in a Cellular Multiple-Access Channel
IEEE Transactions on Wireless Communications
A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors
IEEE Transactions on Information Theory
Capacity of multiple-transmit multiple-receive antenna architectures
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
On the capacity loss due to separation of detection and decoding
IEEE Transactions on Information Theory
Randomly spread CDMA: asymptotics via statistical physics
IEEE Transactions on Information Theory
Scaling results on the sum capacity of cellular networks with MIMO links
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Spectral Efficiency of Joint Multiple Cell-Site Processors for Randomly Spread DS-CDMA Systems
IEEE Transactions on Information Theory
BER analysis of the optimum multiuser detection with channel mismatch in MC-CDMA systems
IEEE Journal on Selected Areas in Communications
Asymptotic Analysis of General Multiuser Detectors in MIMO DS-CDMA Channels
IEEE Journal on Selected Areas in Communications
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This paper aims to analyze the throughput of a multiple-input multiple-output (MIMO) multiple-access (MA) wireless network. Some recent research studies showed that, in the concerned scenario, the joint processing of all the received signals by access point (AP) cooperation can dramatically enhance the system throughput because of the macrodiversity. However, in practice, the channel estimation quality for the paths from the macrodiversity providers is usually poor. Unfortunately, existing literature on the performance of the joint processing in the MIMO cellular networks is deficient in channel estimation errors. To fill this literature gap, this paper provides an analytical framework for calculating the large-system throughput of a MIMO cellular network with channel estimation errors. Unlike most large-system results, analytical results of this study can be applied in the scenarios with any given input distributions (not necessarily Gaussian) from transmitters. In addition, several issues including 1) how much of the coherence interval should be spent on training and 2) the impact of AP cooperation are highlighted by the analytical results.