Uplink Waveform Channel With Imperfect Channel State Information and Finite Constellation Input
2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 2, 1107-1119 p.Article in journal (Refereed) Published
This paper investigates the capacity limit of an uplink waveform channel assuming imperfect channel state information at the receiver (CSIR). Various realistic assumptions are incorporated into the problem, which make the study valuable for performance assessment of real cellular networks to identify potentials for performance improvements in practical receiver designs. We assume that the continuous-time received signal is first discretized by mismatched filtering based on the imperfect CSIR. The resulting discrete-time signals are then decoded considering two different decoding strategies, i.e., an optimal decoding strategy based on specific statistics of channel estimation errors and a sub-optimal decoding strategy treating the estimation error signal as additive Gaussian noise. Motivated by the proposed decoding strategies, we study the performance of the decision feedback equalizer for finite constellation inputs, in which inter-stream interferences are treated either using their true statistics or as Gaussian noise. Numerical results are provided to exemplify the benefit of exploiting the knowledge on the statistics of the channel estimation errors and inter-stream interferences. Simulations also assess the effect of the CSI imperfectness on the achievable rate, which reveal that finite constellation inputs are less sensitive to the estimation accuracy than Gaussian input, especially in the high SNR regime.
Place, publisher, year, edition, pages
IEEE Press, 2017. Vol. 16, no 2, 1107-1119 p.
Finite constellation input, imperfect CSI, mismatched filtering, uplink waveform channel
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-204102DOI: 10.1109/TWC.2016.2638420ISI: 000395825200034ScopusID: 2-s2.0-85014906082OAI: oai:DiVA.org:kth-204102DiVA: diva2:1085413
QC 201703292017-03-292017-03-292017-03-29Bibliographically approved