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## In-Network-Processing for Small Cell Cooperation in Dense Networks

Citations: | 4 - 3 self |

### Citations

955 | Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends
- Boyd, Parikh, et al.
- 2011
(Show Context)
Citation Context ... the centralized LS estimation result a central processing entity would achieve. As detailed in [5], by use of the Augmented Lagrangian method [10] and the Alternating Direction Method of Multipliers =-=[11]-=-, [12], the update equations of the iterative algorithm are obtained: ( ˆsj(k + 1) = H T j Hj + |Nj| ) −1 + 1 I (7) µ ⎡ · ⎣H T j xj + ∑ ( λj,i(k) + 1 µ zi(k) ) ⎤ ⎦ , zj(k + 1) = µ |Nj| + 1 i∈Nj∪{j} ∑ ... |

941 |
Tsitsiklis, Parallel and distributed computation: numerical methods. Upper Saddle River
- Bertsekas, N
- 1989
(Show Context)
Citation Context ...entralized LS estimation result a central processing entity would achieve. As detailed in [5], by use of the Augmented Lagrangian method [10] and the Alternating Direction Method of Multipliers [11], =-=[12]-=-, the update equations of the iterative algorithm are obtained: ( ˆsj(k + 1) = H T j Hj + |Nj| ) −1 + 1 I (7) µ ⎡ · ⎣H T j xj + ∑ ( λj,i(k) + 1 µ zi(k) ) ⎤ ⎦ , zj(k + 1) = µ |Nj| + 1 i∈Nj∪{j} ∑ i∈Nj∪{... |

757 | Consensus and cooperation in networked multi-agent systems
- Olfati-Saber, Fax, et al.
- 2007
(Show Context)
Citation Context ...transmit signals. Each estimate is then forwarded to the other iSCs who incorporate it into their estimation process and thus improve their local estimates. Like for comparable algorithms (e.g., [7], =-=[8]-=-, [9]), through an iterative process of exchanging intermediate estimates and other auxiliary variables, a consensus on the estimates is achieved, which can be proven to be identical to the centralize... |

84 |
Diffusion LMS strategies for distributed estimation
- Cattivelli, Sayed
- 2010
(Show Context)
Citation Context ...mit signals. Each estimate is then forwarded to the other iSCs who incorporate it into their estimation process and thus improve their local estimates. Like for comparable algorithms (e.g., [7], [8], =-=[9]-=-), through an iterative process of exchanging intermediate estimates and other auxiliary variables, a consensus on the estimates is achieved, which can be proven to be identical to the centralized LS ... |

16 |
Uplink comp under a constrained backhaul and imperfect channel knowledge
- Marsch, Fettweis
- 2011
(Show Context)
Citation Context ...AN (e.g., [1]) deployments, often termed ”Distributed Antenna System“ (DAS). There also exists a variety of distributed approaches for Cooperative Multi Point (CoMP) processing, as detailed, e.g., in =-=[2]-=-, ranging from non-iterative techniques such as interference subtraction [3] to iterative distributed decoding schemes [4]. In this paper, we propose the joint detection of multiple UE signals by mean... |

13 | Distributed consensus-based demodulation: algorithms and error analysis
- Zhu, Cano, et al.
(Show Context)
Citation Context ...d UE transmit signals. Each estimate is then forwarded to the other iSCs who incorporate it into their estimation process and thus improve their local estimates. Like for comparable algorithms (e.g., =-=[7]-=-, [8], [9]), through an iterative process of exchanging intermediate estimates and other auxiliary variables, a consensus on the estimates is achieved, which can be proven to be identical to the centr... |

6 | In-networkprocessing: distributed consensus-based linear estimation
- Paul, Fliege, et al.
- 2013
(Show Context)
Citation Context ... to iterative distributed decoding schemes [4]. In this paper, we propose the joint detection of multiple UE signals by means of a decentralized, iterative distributed signal estimation algorithm. In =-=[5]-=-, we presented a generic consensus-based In-Network Processing (INP) algorithm for use in arbitrary networks of sensors, which was further investigated in [6] with regard to its behavior in the presen... |

2 |
Reduced Complexity Distributed Base Station Processing in the Uplink of Cellular Networks
- Bavarian, Cavers
(Show Context)
Citation Context ...proaches for Cooperative Multi Point (CoMP) processing, as detailed, e.g., in [2], ranging from non-iterative techniques such as interference subtraction [3] to iterative distributed decoding schemes =-=[4]-=-. In this paper, we propose the joint detection of multiple UE signals by means of a decentralized, iterative distributed signal estimation algorithm. In [5], we presented a generic consensus-based In... |

1 |
et al., “Base stations in the cloud
- Haberland
- 2012
(Show Context)
Citation Context ... transmitted in the uplink. A straightforward approach is the centralized joint processing of raw baseband receive signals forwarded from the iSCs to a central entity, as designed in cloud RAN (e.g., =-=[1]-=-) deployments, often termed ”Distributed Antenna System“ (DAS). There also exists a variety of distributed approaches for Cooperative Multi Point (CoMP) processing, as detailed, e.g., in [2], ranging ... |

1 |
Fehlertolerante verteilte Schätzalgorithmen für drahtlose Netzwerke (in German),” Diploma Thesis
- Shin
- 2013
(Show Context)
Citation Context ...an value increases by only a fraction of an iteration. However, if the number of nodes is increased, a higher connectivity will lead to a faster convergence. For instance, previous own investigations =-=[13]-=- have shown that for e.g. 6 nodes, a ring topology requires less iterations with smaller standard deviation than for the line topology. A full mesh, however, leads to an even further reduced number of... |