Abstract

The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall system performance. In this paper, we propose a combination of beamforming and scheduling to improve the overall performance of multi-user MIMO systems in realistic conditions where data packets have both priority and deadlines beyond which they become obsolete. This method dubbed Reward Per Second (RPS), combines advanced matrix factorization at the physical layer with recently-developed queue management techniques. We demonstrate the merits of the this technique compared to other state-of-the-art scheduling methods through simulations.

Highlights

  • In recent years, the deployment of media-rich applications for mobile devices has increased

  • This challenge can only be addressed if channel throughput is increased and a proper scheduling mechanism that manages both priorities and deadlines is introduced into the network

  • To achieve the benefits of SDN orchestration, the base-stations or the C-RAN need to cross optimize the scheduling mechanism together with the physical layer beamforming [4,7,8,9] dealing with both priority and deadline constraints requires a new approach to user scheduling and resource allocation, which ensures that the scheduler and the physical layer are harmonized to optimize performance

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Summary

Introduction

The deployment of media-rich applications for mobile devices has increased. Enforcing low latency means that each packet has a deadline that needs to be met This challenge can only be addressed if channel throughput is increased and a proper scheduling mechanism that manages both priorities and deadlines is introduced into the network. Managing queues of packets aimed at independent users with different communication channels requires a cross-layer approach, as priorities and deadlines need to be measured against the effect of each user on other users grouped together. A simplified approach was presented in [39] where packets with priorities and deadlines were scheduled to static beams It is the goal of this paper to propose a cross-layer approach for scheduling and beamforming. We use a scheduling policy combined with the ZF beamforming technique to improve systems with traffic under a hard real-time environment, as well as priorities.

System Model
Queuing Model
ZF Beamforming for MU-MIMO Wireless Networks
Combining Scheduling and Beamforming
RPS Scheduling Policy
1: Drop Ji if its deadline has expired 2
Simulations
Findings
Discussion and Conclusions
Full Text
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