ALOHA With Collision Resolution(ALOHA-CR): Theory and Software Defined Radio Implementation

TL;DR

This paper introduces ALOHA-CR, a novel collision resolution scheme for wireless communications that significantly improves throughput and reduces delays by allowing successful simultaneous transmissions of two users.

Contribution

The paper proposes a new cross-layer ALOHA scheme with collision resolution capabilities and demonstrates its effectiveness through theoretical analysis and software-defined radio implementation.

Findings

ALOHA-CR increases network throughput substantially.

The scheme reduces service delays in wireless networks.

Test-bed results confirm theoretical performance improvements.

Abstract

A cross-layer scheme, namely ALOHA With Collision Resolution (ALOHA-CR), is proposed for high throughput wireless communications in a cellular scenario. Transmissions occur in a time-slotted ALOHA-type fashion but with an important difference: simultaneous transmissions of two users can be successful. If more than two users transmit in the same slot the collision cannot be resolved and retransmission is required. If only one user transmits, the transmitted packet is recovered with some probability, depending on the state of the channel. If two users transmit the collision is resolved and the packets are recovered by first over-sampling the collision signal and then exploiting independent information about the two users that is contained in the signal polyphase components. The ALOHA-CR throughput is derived under the infinite backlog assumption and also under the assumption of finite backlog. The contention probability is determined under these two assumptions in order to maximize the network throughput and maintain stability. Queuing delay analysis for network users is also conducted. The performance of ALOHA-CR is demonstrated on the Wireless Open Access Research Platform (WARP) test-bed containing five software defined radio nodes. Analysis and test-bed results indicate that ALOHA-CR leads to significant increase in throughput and reduction of service delays.