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

Abstract

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.

Spectral efficiency maximisation of full‐duplex enabled relaying SWIPT system with successive interference cancellation and maximal ratio combining

“…Here, for both P SD r(3) > P RD r (3) and P SD r(3) < P RD r(3) , we adopt MRC given in [17,33] to process signal x 2 in the second and third phases, thus the total number of received bits at D in the third phase can be given as follows: η 3 = T* log 2 1 + ξ SD (2) + min ξ SR (2) , ξ RD…”