Signaling Requirements for Smart Dynamic Pricing in Cellular Networks

Abstract

Smart Pricing is a dynamic pricing scheme which varies price in response to the relative scarcity of network resources and has been developed by a team including the authors to be implemented on 3G mobile telecommunications networks. This paper analyses the necessary signaling requirements and proposes a signaling model for Smart Pricing. In this model, a new network element called Dynamic Pricing Engine is proposed. This element is responsible for setting tariffs depending on the level of congestion in a cell and specifies the Quality of Service required. Simulations have yielded relationships between the arrival rates for multiple services (such as voice calls and video conferencing) and signaling load. We are also able to estimate how much of that signaling volume results in billable events (so-called cost-recoverable signaling) versus signaling which does not, such as abandoned call attempts (cost non-recoverable signaling) over a range of traffic volumes.

Smart Dynamic Pricing in Cognitive Radio Systems

“…is for direct communications negotiating spectrum pool access plan between the transmit CRs and the CRW; • the CR Downlink Control Channel (CR-DCCH) is for receive CRs to send feedback of 1) See [1] for details 2) See [1] for details channel quality to the CRW. Like the HSDPA, HSPA+ and LTE systems, adaptive modulation and coding necessitates this channel.…”

“…Smart Dynamic Pricing, also known as Smart Pricing (SP), has been introduced in [1]. It is a dynamic pricing scheme that varies prices according to the current users' responses to rising load.…”

“…SP is a proposed solution to the under-utilised network resources problem. Treatment for the SP signalling in WCDMA systems is detailed in [1] and [2], and for the High Speed Downlink Packet Access (HSDPA), High Speed Downlink Packet Access Evolution (HSDPA+) and Long Term Evolution (LTE) systems in [3].…”

“…Inherently this problem is similar to the problem of under-utilised network resources in mobile telecommunications that SP has addressed for the four 3rd Generation Partnership Project (3GPP) systems mentioned above. In this paper, we report the first steps of our research into extending SP and the Monte Carlo Simulation (MCS) and State Space Analysis (SSA) signalling models proposed in [1] and [2] to address the spectrum sharing and/or dynamic spectrum allocation problems.…”