Artificial fish swarm algorithm based pilot allocation in massive MIMO system

Massive MIMO User Location Based Pilot Allocation in Massive MIMO Systems

“…(19) In formula (19), the numerator represents the effective gain of the target user's signal, and the denominator represents the interference gain caused by other users within the coverage area of the same directional line array to the target user and the additive noise of the system. Combining equations (14) and (15), equation (19) In the denominator of equation 20, the first term indicates interference caused by other user signals in the cell to the target user signal, the second term indicates user interference caused by other cells using different pilots with the target user, and the third term indicates, pilot contamination caused by users who have reused the same pilot sequence as the target user, the last term represents additive noise.…”

“…However, although this scheme can provide near-optimal system performance, it also brings high computational complexity. Aiming at the contradiction between system performance and computational complexity, some improved pilot allocation schemes have gradually emerged, such as graph-based colouring [11], linear programming [12], entropy-based optimization [13], and artificial fish algorithm [14] and other pilot allocation schemes. These solutions can reduce the computational complexity to a certain extent.…”