Throughput of CDM-based Random Access With SINR Capture

TL;DR

This paper analyzes the throughput of CDM-based random access considering both sequence collision and interference using an SINR capture model, demonstrating that channel-adaptive schemes significantly outperform conventional methods.

Contribution

It provides the first analysis of CDM-based random access throughput accounting for both sequence collision and interference effects.

Findings

Channel-adaptive random access achieves higher throughput.

Analysis enables trade-off evaluation between throughput and complexity.

Numerical simulations validate the analytical results.

Abstract

Code division multiplexing (CDM)-based random access is used in many practical wireless systems. With CDM-based random access, a set of sequences is reserved for random access. A remote station transmits a random access packet using a randomly selected sequence among the set. If more than one remote stations transmit random access packets using the same sequence simultaneously, performance degrades due to sequence collision. In addition, if more than one remote stations transmit random access packets using different sequences simultaneously, performance also degrades due to interference. Therefore, the performance of CDM-based random access is dependent on both sequence collision and interference. There has been no previous research to analyze the performance of CDM-based random access considering both sequence collision and interference. In this paper, throughput of CDM-based random access is investigated considering both sequence collision and interference based on a signal to interference plus noise ratio (SINR) capture model. Analysis and numerical simulation compare the throughputs of several random access schemes including conventional and channel-adaptive random access. The results show that channel-adaptive random access can achieve significantly higher throughput than conventional random access. In addition, based on the results of this paper, it is possible to analyze the trade-off between the throughput and implementation complexity with increased number of sequences.