Dynamic Resource Allocation for Downlink Multi-User MIMO-OFDMA/SDMA Systems

Abstract

In this paper, new dynamic resource allocation algorithms are presented for the downlink of multi-user MIMO-OFDMA/SDMA systems. Since it is difficult to obtain the optimal solution to the joint optimization problem, the whole procedure is divided into two steps, namely, the subcarrier-user scheduling and the resource allocation. In the first step, a new metric is proposed to measure the spatial compatibility of multiple users each with multiple receive antennas, based on which a new subcarrier-user scheduling algorithm is designed. In the second step, two dynamic resource allocation algorithms are developed to assign radio resources to the scheduled users accordingly. Simulation results demonstrate the superiority of the proposed algorithms in terms of the system throughput.

Fair resource allocation for multiuser MIMO communications network

“…The upper bound is achieved when the users cooperate with each other. It is equivalent to [15]). Users are divided into two groups, i.e.…”

“…Here we compare the complexity between ES, (modified) BUF-SUS [15], and proposed DPCGS. As mentioned previously, there are total .…”

“…4, two formulations of the resource allocation problem, the maximizing minimum sum rate problem and the maximizing minimum surplus problem, are compared with each other. The simulation of the first problem via a greedy method [15] has a resemblance of sum rate between the users, even though the demand rates of the users are different. On the other hand, the simulation of the second problem via the proposed MMSRA algorithm results a fair allocation of data rate that the differences between the allocated rates and the demand rates (i.e.…”

“…2, small difference is observed between ES and DPCGS, while the proposed DPCGS is formulated with lower complexity. In [15], data streams are assigned to the user whose row signal spaces are as close as possible to other users' common nullspace. The algorithm named Best-User-First Subcarrier-User-Scheduling (BUF-SUS) allocates d k,n = min {N R , (K − 1) N R − N T } data streams to the user k sequentially until…”

Fairness aware resource allocation for downlink MISO-OFDMA systems

“…Most of the resource allocation algorithms in the literature ignores the fairness criteria and allow the users with good channel gains to obtain most part of the resources. In [6]- [7], suboptimal user selection and beamforming algorithms based on ZF have been proposed to maximize the system capacity without guaranteeing any kind of fairness among the users' data rates. The maximization of the data rate with the constraints of total available power and Bit Error Rate (BER) has been aimed in [8] while supporting a kind of fairness among users.…”