Towards Risk Adjusted Wireless Access under Jamming: Reliability through Multi-Connectivity

In this paper we suggest that diverse user risk tolerance levels can be incorporated into conventional network optimization frameworks by replacing user rate/throughput with the Entropic Rate at Risk (ERaR). We consider risk due to scenario-based uncertainty, where different scenarios include a "normal" scenario without jamming as well as feasible jamming scenarios. We demonstrate that ERaR user maximization results in user multi-connectivity to several Base Stations (BSs) when benefits of connectivity diversification out weight the "inefficiencies" due to connectivity to "distant" BSs.