The impact of frequency-flat fading on the spectral efficiency of CDMA

By Shlomo Shamai, Sergio Verdú. IEEE Transactions on Information Theory, 2001

401 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5e1da88df8a4d1f7547309114ef78339ddb4a9f7

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Mutual information and minimum mean-square error in Gaussian channels (2004, background): “(72) The spectral efficiencies under joint and separate decoding were first derived for Gaussian inputs in [42], and then found implicitly in [43] and later explicitly [44] for equal-power users with binary inputs.”
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions (2006, background): “59 dB over the noise floor at the receiver, vanishes with temporal waterfilling [47].”
Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis (2008, background): “The power offset was first introduced in [18] to evaluate the performance of the different code-division multiple-access (CDMA) schemes.”
Impact of antenna correlation on the capacity of multiantenna channels (2005, methodology): “If and we set , the expressions for further simplify to those reported in [33].”
On the achievable throughput of a multiantenna Gaussian broadcast channel (2003, background): “4For the long-term constraint (E =N ) = 0 sincejh j has a distribution with unbounded support [5].”
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels (2003, neutral): “The definition of the spatial multiplexing gain also coincides with that of the ”high-SNR asymptotic slope of the spectral efficiency” defined in [14].”
Random Matrix Theory and Wireless Communications (2004, methodology): “2 In [217], the spectral efficiencies achieved by the MMSE receiver and the decorrelator are given respectively by Cmmse(β, SNR ) = β E [log (1 + |A|2SNR ηSAA†S†(SNR ))] (3.”
MIMO Broadcast Channels With Finite-Rate Feedback (2006, background): “Therefore, a rate offset of log2 b bps/Hz per user, or equivalently M log2 b bps/Hz in throughput, corresponds to a power offset of 3 log2 b decibels [33], [34].”
Energy-Efficient Resource Allocation in Wireless Networks (2007, background): “I n this approach, the optimal power control strategy is essentially a water-filling scheme (see [23]).”
MIMO broadcast channels with finite rate feedback (2006, background): “Therefore, a rate of fset of log2 b bps/Hz per user, or equivalently M log2 b bps/Hz in throughput, corresponds to a power offset of 3 log2 b dB [31] [32].”