Uplink Scheduling and Power Allocation for M2M Communications in LTE-A Networks and Massive Multiple Access for M2M Communications in Next Generation Wireless Networks

Abstract

Recently wireless personal communications have been widely proliferated to exchange data among individuals In addition to human-to-human (H2H) communications the introduction of machine-to-machine (M2M) communications into cellular networks is vigorously being developed Providing diverse and strict quality of service (QoS) guarantees is one of the most important requirements in M2M communications Such diverse QoS requirements particularly need for appropriate resource allocation that can be applied to M2M communications This issue becomes more challenging with the enabling of M2M communications in LTE-A networks as the available resources have to be shared between M2M devices and H2H users owning different QoS requirements To efficiently allocate resource blocks (RBs) for M2M devices while satisfying QoS requirements we propose the group based M2M communications in which M2M devices are grouped based on their wireless transmission protocols and clustered based on QoS characteristics and requirements Then we perform joint RB and power allocation in SC-FDMA-based LTE-A network We formulate our framework as a sum-throughput maximization problem while respecting all the constraints associated with the SC-FDMA regarding to the RB and power allocation in LTE-A uplink network and considering QoS guarantees for the M2M devices The specific constraints of SC-FDMA as an uplink air interface in LTE-A networks complicate the resource allocation problem We overcome the analytical and computational intractability by first transforming the original problem into a binary integer programming (BIP) problem and then formulating its dual problem using the Lagrange duality theory The proposed algorithm is compared with Greedy algorithm [35] as well Numerical results show that the proposed algorithm not only outperforms Greedy algorithm in terms of throughput maximization while satisfying QoS requirements but also performs closer to the optimal design On the other hand to address congestion problem in random access (RA) we introduce SC-FDMA-CDMA scheme in which a code is assigned to the preamble sent by M2M devices enabling eNB to detect each preamble and also determine how many M2M devices have selected each preamble In the proposed scheme the devices that selected the same preamble transmit their data at the same data channel by utilizing the code Hence the RA process is significantly reduced In addition the proposed scheme can significantly reduce the number of RBs required to transmit data of M2M devices through incorporating many packets generated by M2M devices into one RB Furthermore different lengths super orthogonal codes (DLSOC) are further proposed so that the issues such as multiple access interference (MAI) and multipath interference (MI) associated with currently used codes could be significantly eliminated for both synchronous and asynchronous cases by utilizing the novel technology of the super orthogonal Index Terms – M2M communications LTE-Advanced Scheduling grouping Power allocation SC-FDMA-CDMA Resource allocation QoS Random access

Date of Award	2017 Aug 8
Original language	English
Supervisor	Hsiao-Hwa Chen (Supervisor)