BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20240331T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240913T095657Z UID:2AFFBD8A-892D-4390-8961-22AB985E1A83 DTSTART;TZID=Europe/London:20240910T120000 DTEND;TZID=Europe/London:20240910T123000 DESCRIPTION:Future vehicular wireless networks are expected to reduce road accidents\, enhance traffic efficiency\, and lower carbon emissions by ena bling seamless data exchange between vehicles\, pedestrians\, and road inf rastructure. However\, these networks require ultra-high throughput\, as w ell as stringent latency and reliability standards that are beyond the cap abilities of conventional network designs. Technologies such as millimeter -wave communication\, clustering\, many-to-many communication\, and non-or thogonal multiple access (NOMA) are considered key enablers for building r obust vehicular networks.\n\nIn this work\, we explore the integration of these techniques to leverage their benefits while addressing their challen ges. Specifically\, we design a directional lane clustering model that ens ures collision-free\, ultra-reliable low-latency communication (URLLC) bet ween vehicles traveling in the same lane. Additionally\, we propose a nove l NOMA-based many-to-many communication scheme to enable high-speed inter- cluster data exchange. The performance of the proposed schemes is evaluate d through extensive network simulations using OMNET++ and MATLAB\, demonst rating significant improvements over existing benchmark strategies.\n\nRoo m: 3A.016 M&T \, Bldg: Nancy Rothwell (Engineering Building A)\, The Unive rsity of Manchester\, Manchester\, England\, United Kingdom\, M13 9PL\, Vi rtual: https://events.vtools.ieee.org/m/433096 LOCATION:Room: 3A.016 M&T \, Bldg: Nancy Rothwell (Engineering Building A)\ , The University of Manchester\, Manchester\, England\, United Kingdom\, M 13 9PL\, Virtual: https://events.vtools.ieee.org/m/433096 ORGANIZER:khaled.altuwairgi@manchester.ac.uk SEQUENCE:40 SUMMARY:Novel Heterogenous Network Designs and Multiple Access Schemes for Future Vehicular Ad hoc Network URL;VALUE=URI:https://events.vtools.ieee.org/m/433096 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\;"><span lang="EN-US" style="font-size: 14pt\; line-height: 115%\; font -family: Calibri\, sans-serif\; color: black\; border: 1pt none windowtext \; padding: 0cm\;">Future vehicular wireless networks are expected to redu ce road accidents\, enhance traffic efficiency\, and lower carbon emission s by enabling seamless data exchange between vehicles\, pedestrians\, and road infrastructure. However\, these networks require ultra-high throughpu t\, as well as stringent latency and reliability standards that are beyond the capabilities of conventional network designs. Technologies such as mi llimeter-wave communication\, clustering\, many-to-many communication\, an d non-orthogonal multiple access (NOMA) are considered key enablers for bu ilding robust vehicular networks.</span></p>\n<p class="MsoNormal" style=" text-align: justify\;"><span lang="EN-US" style="font-size: 14pt\; line-he ight: 115%\; font-family: Calibri\, sans-serif\; color: black\; border: 1p t none windowtext\; padding: 0cm\;">In this work\, we explore the integrat ion of these techniques to leverage their benefits while addressing their challenges. Specifically\, we design a directional lane clustering model t hat ensures collision-free\, ultra-reliable low-latency communication (URL LC) between vehicles traveling in the same lane. Additionally\, we propose a novel NOMA-based many-to-many communication scheme to enable high-speed inter-cluster data exchange. The performance of the proposed schemes is e valuated through extensive network simulations using OMNET++ and MATLAB\, demonstrating significant improvements over existing benchmark strategies. </span></p> END:VEVENT END:VCALENDAR