Performance of Co-Operative Uplink Reception with Non-Ideal Backhaul

Pengoria, Deepak; Nagaraj, S.; Agrawal, Rajeev

doi:10.1109/vtcspring.2015.7146010

Cited by 4 publications

(1 citation statement)

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“…To reduce the amount of sharing, dynamic clustering of cells has been proposed, e.g., in [6], [7]. In addition to limiting the amount of information that can be shared across cells, the limited backhaul bandwidth also introduces latency, which is addressed in [8].…”

Section: Introductionmentioning

confidence: 99%

Distributed optimization of multi-cell uplink co-operation with backhaul constraints

Nagaraj

Honig

Zeineddine

2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-We address the problem of uplink co-operative reception with constraints on both backhaul bandwidth and the receiver aperture, or number of antenna signals that can be processed. The problem is cast as a network utility (weighted sum rate) maximization subject to computational complexity and architectural bandwidth sharing constraints. We show that a relaxed version of the problem is convex, and can be solved via a dual-decomposition. The proposed solution is distributed in that each cell broadcasts a set of demand prices based on the data sharing requests they receive. Given the demand prices, the algorithm determines an antenna/cell ordering and antennaselection for each scheduled user in a cell. This algorithm, referred to as LiquidMAAS, iterates between the preceding two steps. Simulations of realistic network scenarios show that the algorithm exhibits fast convergence even for systems with large number of cells.

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Section: Introductionmentioning

confidence: 99%