Stochastic geometry model to analyze 5G energy efficiency based on a novel dynamic spectrum access scheme

Abstract

The communication network has to undergo a significant change to be able to keep up with the exponential demand for mobile data. The next 5G mobile generation, based essentially on the heterogeneous network architecture—a macro tier overlayed with unplanned small cell tiers—is defined as a promising solution to meet those needs. Despite the considerable increase in data rates through the small cell concept and the shared spectrum access, the most crucial challenge is the interference management issue. To overcome this limitation and establish an economical and ecological design, the need for new spectrum management concepts is triggered. Unlike the classical cell association scheme, which requires cell tier cooperations, the contribution of this paper is to conceive an efficient cell association scheme in a non coordination 5G heterogeneous network architecture, based on a novel dynamic spectrum access (DSA) approach. The suggested DSA is based on the dynamic common cognitive monitor channel—with a cognitive monitor strategy using the maximum holding time distribution—and the highest signal‐to‐interference‐plus‐noise ratio–based cell association. The coverage probability and the throughput for a typical user in a two‐tier heterogeneous network (macro and small cell tiers) as well as the analytical expression of the energy efficiency are derived and analyzed using a stochastic geometry system model. The performance of the suggested DSA scheme is quantified and highlighted through detailed simulations and numerical results.

Energy Efficiency Performance for 5G Cellular Networks

“…This paper presents an extension of our previous work [18]. Thus, an interference mitigation scheme in an ultradense heterogeneous network is conceived leading to improve the energy efficiency while guaranteing a required throughput.…”

“…, where A i is the i th SCS considered area. Furthermore, the DCCMC (Dynamic Common Cognitive Monitor Channel) MAC layer protocol, proposed and described in [18], is assumed, which means that, each station, after measuring the holding time (vacant channel time) distribution of each idle channel [22], selects the one with the highest maximum probability density function value as the common control channel DCCMC and broadcasts this information as beacons through all the detected idle channel. The user, which is listening on the idle channels, once received the broadcasted beacons, will select the one with the maximum SINR and adapts its transmission parameters in order to switch into this channel.…”

“…In our previous work, [18] a dynamic spectrum access scheme, was suggested, to cope with the co/cross ICI in a two-tier heterogeneous network and improve the energy efficiency. Based on the cognitive radio approach with a novel sensing strategy [19], the amount of interference was reduced compared to other traditional scenarios.…”

Max‐min energy‐efficient subchannel assignment and power allocation in interference‐limited OFDMA heterogeneous networks with QoS guarantee

“…Given the importance of EE, in most of the state‐of‐the‐art schemes, the objective is to maximize the EE of networks . For instance, Illanko et al try to maximize the EE of an orthogonal frequency‐division multiple access (OFDMA) system in the downlink, where the subchannel assignment is based on the largest gain.…”

“…Given the importance of EE, in most of the state-of-the-art schemes, the objective is to maximize the EE of networks. [5][6][7][8][9][10][11][12] For instance, Illanko et al 5 try to maximize the EE of an orthogonal frequency-division multiple access (OFDMA) system in the downlink, where the subchannel assignment is based on the largest gain. In addition, Xu et al 6 investigate a resource allocation problem to maximize the EE of OFDMA systems by considering energy consumption in both the transmitter and receiver sides.…”