Abstract
A rapid increase in the wireless internet-based applications led to an enormous increase in wireless data rates. Intensification of future wireless networks faces a great challenge to meet such growing demand for payload data. A suggested solution that can be used to resolve this issue is to overlay small cell networks with macro cell networks to provide higher network capacity and better coverage. Small cell networks experience large interference from macro cell base stations (BSs) making data rates received by the small cell users not reliably. In this paper, an antenna selection scheme based on small cell user’s (SCU) channel gain is proposed. Whereas, the two tiers use the same network bandwidth resources; the macro BS selects a subset of antennas which has a minimum interfering effect to the SCU based on a pilot sent from SCU to macro cell. The proposed selection scheme has been compared with convex optimization antenna selection scheme. Simulation results show that the SCU data rates are significantly improved using proposed scheme. Execution time required for antenna selection is reduced significantly using the proposed scheme.
Highlights
The extent of wireless voice services and data communications has grown at an exponential pace for many decades
Transmission in massive MIMO significantly depends on time-division duplex (TDD) technique, where channel estimation mainly affects the exploitation of channel reciprocity using TDD
In this subsection, we investigate the antenna selection scheme based on the small cell user (SCU) channel gain in the heterogeneous networks, the scheme is investigated for different transmission scenarios
Summary
The extent of wireless voice services and data communications has grown at an exponential pace for many decades. To keep up with such exponential traffic growth rate and simultaneously provide ubiquitous connectivity, industrial and academic researchers need to turn every stone to design new revolutionary wireless networks technologies [1, 2]. Two main method currently considered to meet these requirements are: massive MIMO [3, 4] and small-cell networks [5]. Massive MIMO is the first method, where large-scale antenna arrays are deployed at the standing macro BSs [6]. It is a promising solution to handle several magnitudes more wireless data traffic than today’s technologies by focusing emitted energy on the intended users, subsequently, energy efficiency dramatically increase [7]. Transmission in massive MIMO significantly depends on time-division duplex (TDD) technique, where channel estimation mainly affects the exploitation of channel reciprocity using TDD. A great benefit gained using TDD is that the channel estimation depends on the number of users and not on the number of BS antennas which makes estimates more feasible [8]
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