2014/11/11 by Ratnesh Kumbhkar, Narayan B. Mandayam, Kumbhkar, Ratnesh +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Mobile Ad Hoc Networks #Networking and Internet Architecture (cs.NI) #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1411.2953
openalex publication_date 2014/11/11 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
The explosive demand for data has called for solution approaches that range\nfrom spectrally agile cognitive radios with novel spectrum sharing, to use of\nhigher frequency spectrum as well as smaller and denser cell deployments with\ndiverse access technologies, referred to as heterogeneous networks (HetNets).\nSimultaneously, advances in electronics and storage, has led to the advent of\nwireless devices equipped with multiple radio interfaces (e.g. WiFi, WiMAX,\nLTE, etc.) and the ability to store and efficiently process large amounts of\ndata. Motivated by the convergence of HetNets and multi-platform radios, we\npropose HetNetwork Coding as a means to utilize the available radio interfaces\nin parallel along with network coding to increase wireless data throughput.\nSpecifically we explore the use of random linear network coding at the network\nlayer where packets can travel through multiple interfaces and be received via\nmultihoming. Using both simulations and experimentation with real hardware on\nWiFi and WiMAX platforms, we study the scaling of throughput enabled by such\nHetNetwork coding. We find from our simulations and experiments that the use of\nthis method increases the throughput, with greater gains achieved for cases\nwhen the system is heavily loaded or the channel quality is poor. Our results\nalso reveal that the throughput gains achieved scale linearly with the number\nof radio interfaces at the nodes.\n