Cloud radios with limited feedback

Kuchi, K and M M, Mohiuddin and T V, Sreejith and Bansal, R and Sharma, G V V and Emami, S (2014) Cloud radios with limited feedback. In: 10th International Conference on Signal Processing and Communications, SPCOM 2014, 22-25 July 2014, IISc, Bengulur.

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Cooperation in a cellular network is seen as a key technique in managing other cell interference to observe a gain in achievable rate. In this paper, we present the achievable rates for a cloud radio network using a zero forcing (ZF) equalizer with dirty paper precoding (DPC). We show that when complete channel state information is available at the cloud, rates close to those achievable with total interference cancellation can be achieved. With mean capacity gains, of up to 200% over the conventional cellular network in the downlink, this precoding scheme shows great promise for implementation in a cloud radio network. To simplify the analysis, we use a stochastic geometric framework based on Poisson point processes instead of the traditional grid based cellular network model. We study the impact of limiting the channel state information on the achievable rate. Bounds are developed on the achievable rate with limited feedback. These bounds are shown to be tight while permitting analytical tractability. Specifically, we show that with a limited feedback of about 5-6 channel states from each user, we obtain significant gain compared to conventional systems.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Communication channels (information theory); Mobile telecommunication systems; Signal processing; Stochastic models; Stochastic systems; Wireless networks Analytical tractability; Conventional cellular networks; Conventional systems; Dirty paper precoding (DPC); Interference cancellation; Other-cell interference; Poisson point process; Zero forcing equalizer
Subjects: Others > Electricity
Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 27 Jan 2015 04:55
Last Modified: 27 Jan 2015 04:55
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