Energy Saving Scheme for Multicarrier HSPA + Under Realistic Traffic Fluctuation

Abstract

In the near future, an increase in cellular net-5 work density is expected to be one of the main enablers 6 to boost the system capacity. This development will lead 7 to an increase in the network energy consumption. In this

A Novel Multiobjective Cell Switch-Off Framework for Cellular Networks

“…Year CSO type / architecture Realistic Coverage aspects Complexity and ICI model feasibility analysis [9] 2016 Snapshot / Semi-distributed Full-load Downlink [10] 2016 Traffic profiling / Centralized Full-load Downlink Partially [11] 2016 Traffic profiling / Semi-distributed Load-coupling Downlink Partially [12] 2015 Snapshot / Centralized Full-load Downlink Partially [13] 2015 Snapshot / Centralized Full-load Downlink Partially [14] 2014 Snapshot / Centralized Constant Downlink × [15] 2014 Traffic profiling / Semi-distributed Full-load Downlink [16] 2014 Snapshot / Centralized Constant Downlink × [17] 2013 Snapshot / Centralized Full-load Downlink × [18] 2013 Traffic profiling / Centralized Load-coupling Downlink × [19] 2013 Snapshot / Centralized Constant × Partially [20] 2013 Snapshot / Centralized Full-load Downlink Partially [21] 2013 Snapshot / Centralized Full-load Downlink × [22] 2012 Snapshot / Centralized Constant × × [23] 2012 Snapshot / Centralized Full-load Downlink × [24] 2011 Traffic profiling / Semi-distributed Full-load Downlink Partially [25] 2010 Snapshot / Centralized Full-load Downlink × [26] 2010 Snapshot / Centralized Constant Downlink × [27] 2010 Traffic profiling / Semi-distributed Full-load × × [28] 2009 Snapshot / Both Full-load × × type of solution provides the ultimate performance in terms of energy savings. However, feasibility becomes a serious issue as it will be shown later on.…”

“…As indicated, another approach to CSO is traffic profiling, the case of [15,18,24,27], where CSO decisions are taken assuming a certain knowledge about the service demand [30,31]. However, most of the solutions presented so far employ models and assumptions oriented to macrocellular deployments, such as [11,18,24], where the use of CSO is not so clear due to practical issues [32]. Other practical aspects, such as the number of transitions and handovers are often overlooked as well.…”

“…In snapshot CSO (e.g., [14,16,17,19]), decisions involve the analysis of discrete realizations of users, i.e., whenever a CSO decision is required, information of every single user in the network needs to be available at a central unit where an heuristic or optimization procedure is performed. Given its nature, this feasibility analysis [9] 2016 Snapshot / Semi-distributed Full-load Downlink [10] 2016 Traffic profiling / Centralized Full-load Downlink Partially [11] 2016 Traffic profiling / Semi-distributed Load-coupling Downlink Partially [12] 2015 Snapshot / Centralized Full-load Downlink Partially [13] 2015 Snapshot / Centralized Full-load Downlink Partially [14] 2014 Snapshot / Centralized Constant Downlink × [15] 2014 Traffic profiling / Semi-distributed Full-load Downlink [16] 2014 Snapshot / Centralized Constant Downlink × [17] 2013 Snapshot / Centralized Full-load Downlink × [18] 2013 Traffic profiling / Centralized Load-coupling Downlink × [19] 2013 Snapshot / Centralized Constant × Partially [20] 2013 Snapshot / Centralized Full-load Downlink Partially [21] 2013 type of solution provides the ultimate performance in terms of energy savings. However, feasibility becomes a serious issue as it will be shown later on.…”

“…Thus, active BSs always cause ICI to its neighbors while BSs in sleeping mode do not. 3) Load-coupling (LC): The ICI created by each BS is proportional to its load (e.g., [11,18]). This model is more realistic and accurate but involves more complexity.…”