Two Design Issues in Cognitive Sub-Small Cell for Sojourners

TL;DR

This paper introduces the Cognitive Sub-Small Cell for Sojourners (CSCS), a novel approach to improve energy efficiency and user capacity in small cell networks by addressing antenna configuration and interference control.

Contribution

It proposes a new interference control scheme called BDBF and an algorithm for antenna number determination based on user distribution, advancing small cell network design.

Findings

BDBF outperforms optimal BF in capacity within certain uncertainty regions.

The number of transmit antennas significantly impacts network capacity.

Simulation results validate the effectiveness of the proposed interference control scheme.

Abstract

In this paper, we propound a solution named Cognitive Sub-Small Cell for Sojourners (CSCS) in allusion to a broadly representative small cell scenario, where users can be categorized into two groups: sojourners and inhabitants. CSCS contributes to save energy, enhance the number of concurrently supportable users and enshield inhabitants. We consider two design issues in CSCS: i) determining the number of transmit antennas on sub-small cell APs; ii) controlling downlink inter-sub-small cell interference. For issue i), we excogitate an algorithm helped by the probability distribution of the number of concurrent sojourners. For issue ii), we propose an interference control scheme named BDBF: Block Diagonalization (BD) Precoding based on uncertain channel state information in conjunction with auxiliary optimal Beamformer (BF). In the simulation, we delve into the issue: how the factors impact the number of transmit antennas on sub-small cell APs. Moreover, we verify a significant conclusion: Using BDBF gains more capacity than using optimal BF alone within a bearably large radius of uncertainty region.