Robust Uplink Communications over Fading Channels with Variable Backhaul Connectivity

Two mobile users communicate with a central decoder via two base stations. Communication between the mobile users and the base stations takes place over a Gaussian interference channel with constant channel gains or quasi-static fading. Instead, the base stations are connected to the central decoder...

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Veröffentlicht in:IEEE transactions on wireless communications Jg. 12; H. 11; S. 5788 - 5799
Hauptverfasser: Karasik, Roy, Simeone, Osvaldo, Shitz, Shlomo Shamai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.11.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1536-1276, 1558-2248
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Abstract Two mobile users communicate with a central decoder via two base stations. Communication between the mobile users and the base stations takes place over a Gaussian interference channel with constant channel gains or quasi-static fading. Instead, the base stations are connected to the central decoder through orthogonal finite-capacity links, whose connectivity is subject to random fluctuations. There is only receive-side channel state information, and hence the mobile users are unaware of the channel state and of the backhaul connectivity state, while the base stations know the fading coefficients but are uncertain about the backhaul links' state. The base stations are oblivious to the mobile users' codebooks and employ compress-and-forward to relay information to the central decoder. Upper and lower bounds are derived on average achievable throughput with respect to the prior distribution of the fading coefficients and of the backhaul links' states. The lower bounds are obtained by proposing strategies that combine the broadcast coding approach and layered distributed compression techniques. The upper bound is obtained by assuming that all the nodes know the channel state. Numerical results confirm the advantages of the proposed approach with respect to conventional non-robust strategies in both scenarios with and without fading.
AbstractList Two mobile users communicate with a central decoder via two base stations. Communication between the mobile users and the base stations takes place over a Gaussian interference channel with constant channel gains or quasi-static fading. Instead, the base stations are connected to the central decoder through orthogonal finite-capacity links, whose connectivity is subject to random fluctuations. There is only receive-side channel state information, and hence the mobile users are unaware of the channel state and of the backhaul connectivity state, while the base stations know the fading coefficients but are uncertain about the backhaul links' state. The base stations are oblivious to the mobile users' codebooks and employ compress-and-forward to relay information to the central decoder. Upper and lower bounds are derived on average achievable throughput with respect to the prior distribution of the fading coefficients and of the backhaul links' states. The lower bounds are obtained by proposing strategies that combine the broadcast coding approach and layered distributed compression techniques. The upper bound is obtained by assuming that all the nodes know the channel state. Numerical results confirm the advantages of the proposed approach with respect to conventional non-robust strategies in both scenarios with and without fading.
Author Simeone, Osvaldo
Karasik, Roy
Shitz, Shlomo Shamai
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  givenname: Osvaldo
  surname: Simeone
  fullname: Simeone, Osvaldo
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  givenname: Shlomo Shamai
  surname: Shitz
  fullname: Shitz, Shlomo Shamai
  organization: Faculty of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel
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Issue 11
Keywords Parameter estimation
Relay
Clouds
robust communication
Base station
Wireless telecommunication
Information rate
multicell processing
Codebook
Channel estimation
Connectedness
Broadcast coding
Uplink
limited backhaul
Fading channels
Fading
Mobile radiocommunication
Lower bound
Source coding
Prior distribution
Gaussian channel
Distributed source signal
Transmission channel
Quasi static theory
Decoding
Information transmission
Upper bound
distributed source coding
Numerical simulation
cloud radio access network
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SubjectTerms Applied sciences
Broadcast coding
Channels
cloud radio access network
Coding, codes
Decoding
Detection, estimation, filtering, equalization, prediction
distributed source coding
Equipments and installations
Exact sciences and technology
Fading
Information, signal and communications theory
limited backhaul
Mobile radiocommunication systems
multicell processing
Radiocommunications
robust communication
Signal and communications theory
Signal, noise
Source coding
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Throughput
Transmission and modulation (techniques and equipments)
Uplink
Upper bound
Wireless communication
Wireless communications
Wireless networks
Title Robust Uplink Communications over Fading Channels with Variable Backhaul Connectivity
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