Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees[omnet++code]

Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees 3GPP LONG TERM EVOLUTION (LTE) standard uses Single Carrier Frequency Division Multiple Access (SCFDMA) as the uplink multiple access scheme. The primary benefit of SC-FDMA is its low Peak-to-Average Power Ratio (PAPR), Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees compared to Orthogonal Frequency Division Multiple Access (OFDMA), which improves the transmit power efficiency for mobile terminals Resource allocation in OFDMA systems has been extensively studied in literature. However, existing work on resource allocation in OFDMA systems is not directly applicable to SCFDMA systems due to Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees the specific power and resource block (RB) allocation constraints of the latter which complicate the resource allocation problem and also render the standard Lagrangian duality based optimization framework (as used for OFDMA systems) inapplicable. On the other hand, Quality-of-Service (QoS) provisioning for various types of Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees delay sensitive services is an important issue that needs to be considered in most resource allocation problems. The issue becomes particularly challenging with the introduction of Machine-to-Machine (M2M) communication (also known as Machine Type Communications (MTC)) in LTE networks as the available resources have to be shared between M2M devices and Human-to-Human (H2H) users, having different QoS requirements. Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees Conventional resource allocation algorithms for H2H typically focus on throughput maximization which may not hold for M2M scenarios as MTC mostly consists of low data rate applications. However, delay requirements for MTC can be critical especially for applications where real time decision making is involved such as smart grids. Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees Therefore, simultaneous consideration of delay and data rate requirements completely characterizes the M2M/H2H co-existence scenario. It should be noted that deterministic delay guarantees cannot be provided due to the time varying nature of wireless channel. Recently, energy efficiency has become an important objective in resource allocation due to the growing proliferation of smartphones (and other similar high-end devices) and Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees energyhungry applications. The requirements of energy efficiency become critical with the introduction of MTC as majority of M2M devices are battery operated and often deployed in areas where frequent human access or battery replacement is not always feasible. In this paper, we address the problem of energy efficient resource allocation for the uplink of LTE networks (or SCFDMA uplink systems) under statistical QoS guarantees. To the best of our knowledge, this problem has not been investigated before in general or in M2M/H2H co-existence scenarios. Related Work Previous works in address resource allocation in SC-FDMA uplink systems through heuristic algorithms. However, the former only considers throughput maximization whereas the latter considers an average end-to-end delay requirement.