Interference Suppression and Group-Based Power Adjustment via Alternating Optimization for DS-CDMA Networks with Multihop Relaying

TL;DR

This paper introduces joint interference suppression and power allocation algorithms for multihop DS-CDMA networks, significantly improving capacity and performance through an innovative alternating optimization approach.

Contribution

It proposes a novel joint optimization framework for interference suppression and power control in multihop DS-CDMA networks using alternating least squares algorithms.

Findings

Significant capacity gains demonstrated in simulations

Enhanced interference suppression compared to existing methods

Improved power efficiency and network performance

Abstract

This work presents joint interference suppression and power allocation algorithms for DS-CDMA networks with multiple hops and decode-and-forward (DF) protocols. A scheme for joint allocation of power levels across the relays subject to group-based power constraints and the design of linear receivers for interference suppression is proposed. A constrained minimum mean-squared error (MMSE) design for the receive filters and the power allocation vectors is devised along with an MMSE channel estimator. In order to solve the proposed optimization efficiently, a method to form an effective group of users and an alternating optimization strategy are devised with recursive alternating least squares (RALS) algorithms for estimating the parameters of the receiver, the power allocation and the channels. Simulations show that the proposed algorithms obtain significant gains in capacity and performance over existing schemes.